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Computational Intelligence
| Computational Intelligence |
| Autore | Garibaldi Jonathan |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2023 |
| Descrizione fisica | 1 online resource (263 pages) |
| Altri autori (Persone) |
WagnerChristian
BäckThomas LamHak-Keung CottrellMarie MadaniKurosh WarwickKevin |
| Collana | Studies in Computational Intelligence Series |
| ISBN | 3-031-46221-1 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Evolutionary Optimization of Roles for Access Control in Enterprise Resource Planning Systems -- 1 Introduction -- 2 Problem Description -- 3 Related Work -- 4 The AddRole-EA -- 4.1 Presentation of the AddRole-EA -- 4.2 Evaluation -- 5 New Mutation Methods for the AddRole-EA -- 5.1 (M1): Intersection of Permission Sets -- 5.2 (M2): Permission Set Setminus Union of Permissions of Roles -- 5.3 (M3): Splitting of Roles -- 5.4 (M4): Permission Set of a User -- 5.5 (M5): Merging of Roles -- 6 Evaluation -- 7 Conclusion and Future Works -- References -- Behavioural Modelling of Digital Circuits in SystemVerilog Using Grammatical Evolution -- 1 Introduction -- 2 Background -- 2.1 Related Work -- 2.2 Grammatical Evolution -- 3 Experimental Design -- 3.1 Benchmark Problems -- 4 Results and Discussions -- 4.1 Success Rate -- 4.2 Grammar Design -- 4.3 Higher Abstraction Levels -- 4.4 Impact of Initialization Schemes on Circuit Design Benchmark Problems -- 5 Conclusion and Future Work -- References -- Crossover in Cartesian Genetic Programming: Evaluation of Two Phenotypic Methods -- 1 Introduction -- 2 Preliminaries -- 2.1 Cartesian Genetic Programming -- 2.2 Advanced Crossover Operators for CGP -- 3 Review and Motivation -- 3.1 Previous Work on Crossover in CGP -- 3.2 Motivation for a New Evaluation -- 3.3 Formulation of Hypotheses -- 4 Evaluation -- 4.1 Experimental Setup -- 4.2 Benchmarks -- 4.3 Meta-optimization -- 4.4 Experiments -- 5 Discussion and Analysis -- 5.1 Analysis of Hypotheses -- 6 Conclusion and Future Work -- References -- An Information Granulation Approach Through m-Grams for Text Classification -- 1 Introduction -- 2 The Text Categorization System -- 2.1 Background and Conceptual Framework -- 2.2 Overview of the Text Categorization System -- 3 Enhancing the System Performance.
3.1 Performance Exploration Strategy -- 4 Simulation Settings and Results -- 4.1 Experimental Setup -- 4.2 Performance Evaluation -- 4.3 Experimental Results -- 5 Conclusions -- References -- Recent Research Topics in Evolutionary Multiobjective Optimization: A Personal Perspective -- 1 Introduction -- 2 Basic Concepts -- 3 Recent Research Topics -- 3.1 Algorithms -- 3.2 Scalability -- 3.3 Computationally Expensive MOPs -- 3.4 Hyper-Heuristics -- 4 Challenges -- 5 Conclusions -- References -- A Multi-objective Optimization Approach for the Capacitated Vehicle Routing Problem with Time Windows (CVRPTW) -- 1 Introduction -- 2 Formal Model -- 3 Various Approaches to the Problem -- 4 Our Approach -- 4.1 Setting the Input Parameters -- 4.2 Building the Initial Population Using a Greedy Approach -- 4.3 Tweak Operator -- 4.4 Recombination Operator -- 4.5 Fuse Operator: Naïve Merge -- 4.6 Tuning Operator -- 4.7 SPEA2 Fitness Computation and Archive Construction -- 4.8 SPEA2 Algorithm -- 4.9 Evolve Operator -- 5 Summary of Our Experimental Results -- 5.1 Hyperparameters Tuning -- 5.2 Results Analysis -- 6 Conclusions -- References -- Risk Assessment Modeling Based on a Graded Fuzzy Concept Lattice -- 1 Introduction -- 2 Background -- 2.1 Lattices and Quantales -- 2.2 Fuzzy Sets -- 2.3 Fuzzy Relations -- 3 Concept Lattices Vs. Preconcept Lattices -- 3.1 Preconcepts and Preconcept Lattices -- 3.2 Operators R "3222378 and R "3223379 on [SPSDOLLAR4DOLLARSPS]-Powersets and Fuzzy Concept Lattices -- 3.3 Concepts and Concept Lattices -- 4 Graded Concept Lattices -- 4.1 Measure of Inclusion of L-Fuzzy Sets -- 4.2 Conceptuality Degree of a Fuzzy Preconcept -- 4.3 Examples of Evaluation of Conceptuality Degree for Fuzzy Preconcepts -- 4.4 Graded Preconcept Lattices -- 5 Risk Assessment and Fuzzy Preconcept Lattices -- 5.1 Risk Assessment Model. 5.2 Assessment of Possible Covid-19 Impact on the Healthcare System in Latvia -- 6 Conclusions -- References -- Improving Simulation Realism in Developing a Fuzzy Modular Autonomous Driving System for Electric Boats -- 1 Introduction -- 2 Proposed Autonomous Driving System Architecture -- 2.1 LLC Design: Motion Control -- 2.2 Navigation Pipeline -- 2.3 Boat Avoidance Pipeline -- 2.4 Docks Avoidance Pipeline -- 2.5 High Level of Control: Pipeline Selection -- 3 Evaluation Metrics -- 3.1 Fish Schooling Behavior Inspired Reward Function -- 3.2 Stall, Collision and Success Probabilities -- 4 Simulation Results -- 4.1 Phase 1 -- 4.2 Phase 2 -- 4.3 Phase 3 -- 5 Conclusions -- References -- Facing Graph Classification Problems by a Multi-agent Information Granulation Approach -- 1 Introduction -- 2 Related Works -- 3 Complex and Multi-agent Systems -- 4 Graph E-ABC -- 5 Graph Neural Network -- 6 Experimental Results -- 7 Discussions and Conclusions -- References -- One-Shot Identification with Different Neural Network Approaches -- 1 Introduction -- 1.1 Related Work -- 2 Approach -- 2.1 Classic Convolutional Neural Network with Merged Images -- 2.2 Siamese Networks -- 2.3 Siamese Network with Capsules -- 3 Experimental Results -- 3.1 Industrial Application -- 3.2 Results on SmallNORB Dataset -- 3.3 Results on AT& -- T Database of Faces -- 4 Conclusion and Future Prospects -- References -- Evaluation of Gated Recurrent Neural Networks for Embedded Systems Applications -- 1 Introduction -- 2 State of the Art -- 2.1 Emergence of RNNs -- 2.2 Training with Back-Propagation -- 2.3 Applications of RNNs in Embedded Systems (ESs) -- 3 Basic RNN Cells Description -- 3.1 LSTM Cell -- 3.2 GRU Cell -- 3.3 MGU Cell -- 3.4 STAR Cell -- 4 Building Deep RNN Structures -- 4.1 Discussion on Basic Cells Complexity -- 4.2 Bi-Directional Variants. 4.3 Stacking Recurrent Cells -- 5 Experiments and Results -- 5.1 Test Cases Overview -- 5.2 Pytorch Implementation -- 5.3 Our Implementation -- 5.4 Performance Results -- 6 Conclusions and Perspectives -- References -- Author Index. |
| Record Nr. | UNINA-9910760268403321 |
Garibaldi Jonathan
|
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| Cham : , : Springer International Publishing AG, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Handbook of Natural Computing [[electronic resource] /] / edited by Grzegorz Rozenberg, Thomas Bäck, Joost N. Kok
| Handbook of Natural Computing [[electronic resource] /] / edited by Grzegorz Rozenberg, Thomas Bäck, Joost N. Kok |
| Edizione | [1st ed. 2012.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 |
| Descrizione fisica | 1 online resource (332 illus., 60 illus. in color. eReference.) |
| Disciplina | 006.38 |
| Collana | Springer reference |
| Soggetto topico |
Computers
Computational intelligence Artificial intelligence Quantum computers Spintronics Systems biology Nanotechnology Theory of Computation Computational Intelligence Artificial Intelligence Quantum Information Technology, Spintronics Systems Biology |
| ISBN |
1-78402-699-9
3-540-92910-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910483146703321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Parallel Problem Solving from Nature - PPSN V [[electronic resource] ] : 5th International Conference, Amsterdam, The Netherlands, September 27-30, 1998, Proceedings / / edited by Agoston E. Eiben, Thomas Bäck, Marc Schoenauer, Hans-Paul Schwefel
| Parallel Problem Solving from Nature - PPSN V [[electronic resource] ] : 5th International Conference, Amsterdam, The Netherlands, September 27-30, 1998, Proceedings / / edited by Agoston E. Eiben, Thomas Bäck, Marc Schoenauer, Hans-Paul Schwefel |
| Edizione | [1st ed. 1998.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1998 |
| Descrizione fisica | 1 online resource (XLVI, 1585 p.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computers
Architecture, Computer Algorithms Microprocessors Computer programming Theory of Computation Computer System Implementation Computation by Abstract Devices Algorithm Analysis and Problem Complexity Processor Architectures Programming Techniques |
| ISBN | 3-540-49672-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Modelling genetic algorithms: From Markov chains to dependence with complete connections -- On the optimization of unimodal functions with the (1+1) evolutionary algorithm -- A timing analysis of convergence to fitness sharing equilibrium -- Where elitists start limping evolution strategies at ridge functions -- A bit-wise epistasis measure for binary search spaces -- Inside GA dynamics: Ground basis for comparison -- The effect of spin-flip symmetry on the performance of the simple GA -- Fitness distance correlation and Ridge functions -- Accelerating the convergence of evolutionary algorithms by fitness landscape approximation -- Modeling building-block interdependency -- Mutate large, but inherit small! On the analysis of rescaled mutations in ( )-ES with noisy fitness data -- Creating robust solutions by means of evolutionary algorithms -- Analytic curve detection from a noisy binary edge map using genetic algorithm -- A comparison of dominance mechanisms and simple mutation on non-stationary problems -- Adaptation to a changing environment by means of the feedback thermodynamical genetic algorithm -- Optimization with noisy function evaluations -- On risky methods for local selection under noise -- Polygenic inheritance — A haploid scheme that can outperform diploidy -- Averaging efficiently in the presence of noise -- Solving binary constraint satisfaction problems using evolutionary algorithms with an adaptive fitness function -- Varying fitness functions in genetic algorithms: Studying the rate of increase of the dynamic penalty terms -- Landscape changes and the performance of Mapping Based Constraint handling methods -- A decoder-based evolutionary algorithm for constrained parameter optimization problems -- A spatial predator-prey approach to multi-objective optimization: A preliminary study -- Selective breeding in a multiobjective genetic algorithm -- Niching and elitist models for MOGAs -- Parallel evolutionary optimisation with constraint propagation -- Methods to evolve legal phenotypes -- Multiobjective optimization using evolutionary algorithms — A comparative case study -- Utilizing dynastically optimal forma recombination in hybrid genetic algorithms -- Further experimentations on the scalability of the GEMGA -- Indexed memory as a generic protocol for handling vectors of data in genetic programming -- On genetic algorithms and lindenmayer systems -- Genome length as an evolutionary self-adaptation -- Restart scheduling for genetic algorithms -- A comparative study of global and local selection in evolution strategies -- UEGO, an abstract niching technique for global optimization -- Development of problem-specific evolutionary algorithms -- The effects of control parameters and restarts on search stagnation in evolutionary programming -- Accelerating the evolutionary-gradient-search procedure: Individual step sizes -- Extending population-based incremental learning to continuous search spaces -- Multi-parent recombination in genetic algorithms with search space boundary extension by mirroring -- Selective crossover in genetic algorithms: An empirical study -- Line-breeding schemes for combinatorial optimization -- Finding regions of uncertainty in learned models: An application to face detection -- On ZCS in multi-agent environments -- Empirical analysis of the factors that affect the Baldwin effect -- Promoting generalisation of learned behaviours in genetic programming -- Generalization in Wilson's classifier system -- Symbiotic coevolution of artificial neural networks and training data sets -- Information-theoretic analysis of a mobile agent's learning in a discrete state space -- The coevolution of antibodies for concept learning -- Does data-model co-evolution improve generalization performance of evolving learners? -- A corporate classifier system -- Applying diffusion to a cooperative coevolutionary model -- Studying parallel evolutionary algorithms: The cellular programming case -- Learning to avoid moving obstacles optimally for mobile robots using a genetic-fuzzy approach -- Evolutionary neural networks for nonlinear dynamics modeling -- Hybrid distributed real-coded genetic algorithms -- Mechanisms of emergent computation in cellular automata -- Towards designing neural network ensembles by evolution -- Selection of training data for neural networks by a genetic algorithm -- Discovery with genetic algorithm scheduling strategies for cellular automata -- Simple + parallel + local = cellular computing -- Evolution, learning and speech recognition in changing acoustic environments -- Ant colonies for adaptive routing in packet-switched communications networks -- The stud GA: A mini revolution? -- An island model based ant system with lookahead for the shortest supersequence problem -- Parameter-free Genetic Algorithm inspired by “disparity theory of evolution” -- Immune network dynamics for inductive problem solving -- Parallelization strategies for Ant Colony Optimization -- Self-organising pattern formation: Fruit flies and cell phones -- A new genetic local search algorithm for graph coloring -- Improving the performance of evolutionary algorithms for the satisfiability problem by refining functions -- Memetic algorithms and the fitness landscape of the graph bi-partitioning problem -- Investigating evolutionary approaches to adaptive database management against various quality of service metrics -- Genetic algorithm behavior in the MAXSAT domain -- An adaptive mutation scheme for a penalty-based graph-colouring GA -- Inver-over operator for the TSP -- Repair and brood selection in the traveling salesman problem -- The Traveling Salesrep Problem, Edge Assembly Crossover, and 2-opt -- Load balancing in parallel circuit testing with annealing-based and genetic algorithms -- A heuristic combination method for solving job-shop scheduling problems -- Reduction of air traffic congestion by genetic algorithms -- Timetabling the classes of an entire university with an evolutionary algorithm -- Genetic algorithms for the Multiple Container Packing Problem -- Buffer memory optimization in DSP applications: An evolutionary approach -- The Breeder Genetic Algorithm for frequency assignment -- A permutation based Genetic Algorithm for minimum span frequency assignment -- Comparison of Evolutionary Algorithms for design optimization -- Aspects of digital evolution: Evolvability and architecture -- Integrated facility design using an evolutionary approach with a subordinate network algorithm -- An evolutionary algorithm for synthesizing optical thin-film designs -- Implementing genetic algorithms with sterical constraints for protein structure prediction -- Optimal placements of flexible objects: An adaptive simulated annealing approach -- Encapsulated Evolution strategies for the determination of group contribution model parameters in order to predict thermodynamic properties -- Recombination operators for evolutionary graph drawing -- Optimisation of density estimation models with evolutionary algorithms -- Genetic algorithm in parameter estimation of nonlinear dynamic systems -- Optimizing web page layout using an annealed genetic algorithm as client-side script -- Solving the capacitor placement problem in a radial distribution system using an adaptive genetic algorithm. |
| Record Nr. | UNISA-996466126803316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1998 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Parallel Problem Solving from Nature - PPSN V [[electronic resource] ] : 5th International Conference, Amsterdam, The Netherlands, September 27-30, 1998, Proceedings / / edited by Agoston E. Eiben, Thomas Bäck, Marc Schoenauer, Hans-Paul Schwefel
| Parallel Problem Solving from Nature - PPSN V [[electronic resource] ] : 5th International Conference, Amsterdam, The Netherlands, September 27-30, 1998, Proceedings / / edited by Agoston E. Eiben, Thomas Bäck, Marc Schoenauer, Hans-Paul Schwefel |
| Edizione | [1st ed. 1998.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1998 |
| Descrizione fisica | 1 online resource (XLVI, 1585 p.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computers
Computer architecture Algorithms Microprocessors Computer programming Theory of Computation Computer System Implementation Computation by Abstract Devices Algorithm Analysis and Problem Complexity Processor Architectures Programming Techniques |
| ISBN | 3-540-49672-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Modelling genetic algorithms: From Markov chains to dependence with complete connections -- On the optimization of unimodal functions with the (1+1) evolutionary algorithm -- A timing analysis of convergence to fitness sharing equilibrium -- Where elitists start limping evolution strategies at ridge functions -- A bit-wise epistasis measure for binary search spaces -- Inside GA dynamics: Ground basis for comparison -- The effect of spin-flip symmetry on the performance of the simple GA -- Fitness distance correlation and Ridge functions -- Accelerating the convergence of evolutionary algorithms by fitness landscape approximation -- Modeling building-block interdependency -- Mutate large, but inherit small! On the analysis of rescaled mutations in ( )-ES with noisy fitness data -- Creating robust solutions by means of evolutionary algorithms -- Analytic curve detection from a noisy binary edge map using genetic algorithm -- A comparison of dominance mechanisms and simple mutation on non-stationary problems -- Adaptation to a changing environment by means of the feedback thermodynamical genetic algorithm -- Optimization with noisy function evaluations -- On risky methods for local selection under noise -- Polygenic inheritance — A haploid scheme that can outperform diploidy -- Averaging efficiently in the presence of noise -- Solving binary constraint satisfaction problems using evolutionary algorithms with an adaptive fitness function -- Varying fitness functions in genetic algorithms: Studying the rate of increase of the dynamic penalty terms -- Landscape changes and the performance of Mapping Based Constraint handling methods -- A decoder-based evolutionary algorithm for constrained parameter optimization problems -- A spatial predator-prey approach to multi-objective optimization: A preliminary study -- Selective breeding in a multiobjective genetic algorithm -- Niching and elitist models for MOGAs -- Parallel evolutionary optimisation with constraint propagation -- Methods to evolve legal phenotypes -- Multiobjective optimization using evolutionary algorithms — A comparative case study -- Utilizing dynastically optimal forma recombination in hybrid genetic algorithms -- Further experimentations on the scalability of the GEMGA -- Indexed memory as a generic protocol for handling vectors of data in genetic programming -- On genetic algorithms and lindenmayer systems -- Genome length as an evolutionary self-adaptation -- Restart scheduling for genetic algorithms -- A comparative study of global and local selection in evolution strategies -- UEGO, an abstract niching technique for global optimization -- Development of problem-specific evolutionary algorithms -- The effects of control parameters and restarts on search stagnation in evolutionary programming -- Accelerating the evolutionary-gradient-search procedure: Individual step sizes -- Extending population-based incremental learning to continuous search spaces -- Multi-parent recombination in genetic algorithms with search space boundary extension by mirroring -- Selective crossover in genetic algorithms: An empirical study -- Line-breeding schemes for combinatorial optimization -- Finding regions of uncertainty in learned models: An application to face detection -- On ZCS in multi-agent environments -- Empirical analysis of the factors that affect the Baldwin effect -- Promoting generalisation of learned behaviours in genetic programming -- Generalization in Wilson's classifier system -- Symbiotic coevolution of artificial neural networks and training data sets -- Information-theoretic analysis of a mobile agent's learning in a discrete state space -- The coevolution of antibodies for concept learning -- Does data-model co-evolution improve generalization performance of evolving learners? -- A corporate classifier system -- Applying diffusion to a cooperative coevolutionary model -- Studying parallel evolutionary algorithms: The cellular programming case -- Learning to avoid moving obstacles optimally for mobile robots using a genetic-fuzzy approach -- Evolutionary neural networks for nonlinear dynamics modeling -- Hybrid distributed real-coded genetic algorithms -- Mechanisms of emergent computation in cellular automata -- Towards designing neural network ensembles by evolution -- Selection of training data for neural networks by a genetic algorithm -- Discovery with genetic algorithm scheduling strategies for cellular automata -- Simple + parallel + local = cellular computing -- Evolution, learning and speech recognition in changing acoustic environments -- Ant colonies for adaptive routing in packet-switched communications networks -- The stud GA: A mini revolution? -- An island model based ant system with lookahead for the shortest supersequence problem -- Parameter-free Genetic Algorithm inspired by “disparity theory of evolution” -- Immune network dynamics for inductive problem solving -- Parallelization strategies for Ant Colony Optimization -- Self-organising pattern formation: Fruit flies and cell phones -- A new genetic local search algorithm for graph coloring -- Improving the performance of evolutionary algorithms for the satisfiability problem by refining functions -- Memetic algorithms and the fitness landscape of the graph bi-partitioning problem -- Investigating evolutionary approaches to adaptive database management against various quality of service metrics -- Genetic algorithm behavior in the MAXSAT domain -- An adaptive mutation scheme for a penalty-based graph-colouring GA -- Inver-over operator for the TSP -- Repair and brood selection in the traveling salesman problem -- The Traveling Salesrep Problem, Edge Assembly Crossover, and 2-opt -- Load balancing in parallel circuit testing with annealing-based and genetic algorithms -- A heuristic combination method for solving job-shop scheduling problems -- Reduction of air traffic congestion by genetic algorithms -- Timetabling the classes of an entire university with an evolutionary algorithm -- Genetic algorithms for the Multiple Container Packing Problem -- Buffer memory optimization in DSP applications: An evolutionary approach -- The Breeder Genetic Algorithm for frequency assignment -- A permutation based Genetic Algorithm for minimum span frequency assignment -- Comparison of Evolutionary Algorithms for design optimization -- Aspects of digital evolution: Evolvability and architecture -- Integrated facility design using an evolutionary approach with a subordinate network algorithm -- An evolutionary algorithm for synthesizing optical thin-film designs -- Implementing genetic algorithms with sterical constraints for protein structure prediction -- Optimal placements of flexible objects: An adaptive simulated annealing approach -- Encapsulated Evolution strategies for the determination of group contribution model parameters in order to predict thermodynamic properties -- Recombination operators for evolutionary graph drawing -- Optimisation of density estimation models with evolutionary algorithms -- Genetic algorithm in parameter estimation of nonlinear dynamic systems -- Optimizing web page layout using an annealed genetic algorithm as client-side script -- Solving the capacitor placement problem in a radial distribution system using an adaptive genetic algorithm. |
| Record Nr. | UNINA-9910143480903321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1998 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Parallel Problem Solving from Nature – PPSN XVI [[electronic resource] ] : 16th International Conference, PPSN 2020, Leiden, The Netherlands, September 5-9, 2020, Proceedings, Part I / / edited by Thomas Bäck, Mike Preuss, André Deutz, Hao Wang, Carola Doerr, Michael Emmerich, Heike Trautmann
| Parallel Problem Solving from Nature – PPSN XVI [[electronic resource] ] : 16th International Conference, PPSN 2020, Leiden, The Netherlands, September 5-9, 2020, Proceedings, Part I / / edited by Thomas Bäck, Mike Preuss, André Deutz, Hao Wang, Carola Doerr, Michael Emmerich, Heike Trautmann |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XXIX, 735 p. 261 illus., 169 illus. in color.) |
| Disciplina | 004.0151 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer science
Artificial intelligence Computer science—Mathematics Discrete mathematics Mathematical statistics Computer networks Theory of Computation Artificial Intelligence Mathematics of Computing Discrete Mathematics in Computer Science Probability and Statistics in Computer Science Computer Communication Networks |
| ISBN | 3-030-58112-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Automated Algorithm Selection and Configuration -- Bayesian- and Surrogate-Assisted Optimization -- Benchmarking and Performance Measures -- Combinatorial Optimization -- Connection Between Nature-Inspired Optimization and Artificial Intelligence -- Genetic and Evolutionary Algorithms. |
| Record Nr. | UNISA-996418291703316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Parallel Problem Solving from Nature – PPSN XVI [[electronic resource] ] : 16th International Conference, PPSN 2020, Leiden, The Netherlands, September 5-9, 2020, Proceedings, Part II / / edited by Thomas Bäck, Mike Preuss, André Deutz, Hao Wang, Carola Doerr, Michael Emmerich, Heike Trautmann
| Parallel Problem Solving from Nature – PPSN XVI [[electronic resource] ] : 16th International Conference, PPSN 2020, Leiden, The Netherlands, September 5-9, 2020, Proceedings, Part II / / edited by Thomas Bäck, Mike Preuss, André Deutz, Hao Wang, Carola Doerr, Michael Emmerich, Heike Trautmann |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XXIX, 717 p. 318 illus., 146 illus. in color.) |
| Disciplina | 004.0151 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer science
Artificial intelligence Computer science—Mathematics Discrete mathematics Software engineering Mathematical statistics Theory of Computation Artificial Intelligence Mathematics of Computing Discrete Mathematics in Computer Science Software Engineering Probability and Statistics in Computer Science |
| ISBN | 3-030-58115-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Genetic Programming -- Landscape Analysis -- Multiobjective Optimization -- Real-World Applications -- Reinforcement Learning -- Theoretical Aspects of Nature-Inspired Optimization. . |
| Record Nr. | UNISA-996418292103316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Parallel Problem Solving from Nature – PPSN XVI : 16th International Conference, PPSN 2020, Leiden, The Netherlands, September 5-9, 2020, Proceedings, Part II / / edited by Thomas Bäck, Mike Preuss, André Deutz, Hao Wang, Carola Doerr, Michael Emmerich, Heike Trautmann
| Parallel Problem Solving from Nature – PPSN XVI : 16th International Conference, PPSN 2020, Leiden, The Netherlands, September 5-9, 2020, Proceedings, Part II / / edited by Thomas Bäck, Mike Preuss, André Deutz, Hao Wang, Carola Doerr, Michael Emmerich, Heike Trautmann |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XXIX, 717 p. 318 illus., 146 illus. in color.) |
| Disciplina | 004.0151 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer science
Artificial intelligence Computer science—Mathematics Discrete mathematics Software engineering Mathematical statistics Theory of Computation Artificial Intelligence Mathematics of Computing Discrete Mathematics in Computer Science Software Engineering Probability and Statistics in Computer Science |
| ISBN | 3-030-58115-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Genetic Programming -- Landscape Analysis -- Multiobjective Optimization -- Real-World Applications -- Reinforcement Learning -- Theoretical Aspects of Nature-Inspired Optimization. . |
| Record Nr. | UNINA-9910427719103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Parallel Problem Solving from Nature – PPSN XVI : 16th International Conference, PPSN 2020, Leiden, The Netherlands, September 5-9, 2020, Proceedings, Part I / / edited by Thomas Bäck, Mike Preuss, André Deutz, Hao Wang, Carola Doerr, Michael Emmerich, Heike Trautmann
| Parallel Problem Solving from Nature – PPSN XVI : 16th International Conference, PPSN 2020, Leiden, The Netherlands, September 5-9, 2020, Proceedings, Part I / / edited by Thomas Bäck, Mike Preuss, André Deutz, Hao Wang, Carola Doerr, Michael Emmerich, Heike Trautmann |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XXIX, 735 p. 261 illus., 169 illus. in color.) |
| Disciplina |
004.0151
006.3 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer science
Artificial intelligence Computer science—Mathematics Discrete mathematics Mathematical statistics Computer networks Theory of Computation Artificial Intelligence Mathematics of Computing Discrete Mathematics in Computer Science Probability and Statistics in Computer Science Computer Communication Networks |
| ISBN | 3-030-58112-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Automated Algorithm Selection and Configuration -- Bayesian- and Surrogate-Assisted Optimization -- Benchmarking and Performance Measures -- Combinatorial Optimization -- Connection Between Nature-Inspired Optimization and Artificial Intelligence -- Genetic and Evolutionary Algorithms. |
| Record Nr. | UNINA-9910427719203321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Parallel Problem Solving from Nature – PPSN XVIII : 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14–18, 2024, Proceedings, Part IV / / edited by Michael Affenzeller, Stephan M. Winkler, Anna V. Kononova, Heike Trautmann, Tea Tušar, Penousal Machado, Thomas Bäck
| Parallel Problem Solving from Nature – PPSN XVIII : 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14–18, 2024, Proceedings, Part IV / / edited by Michael Affenzeller, Stephan M. Winkler, Anna V. Kononova, Heike Trautmann, Tea Tušar, Penousal Machado, Thomas Bäck |
| Autore | Affenzeller Michael |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (463 pages) |
| Disciplina | 006.31 |
| Altri autori (Persone) |
WinklerStephan M
KononovaAnna V TrautmannHeike TusarTea MachadoPenousal BäckThomas |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Machine learning
Software engineering Application software Computer engineering Computer networks Computers Computer systems Machine Learning Software Engineering Computer and Information Systems Applications Computer Engineering and Networks Computing Milieux Computer System Implementation |
| ISBN | 3-031-70085-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910886996803321 |
|
Affenzeller Michael
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Parallel Problem Solving from Nature – PPSN XVIII : 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14–18, 2024, Proceedings, Part I / / edited by Michael Affenzeller, Stephan M. Winkler, Anna V. Kononova, Heike Trautmann, Tea Tušar, Penousal Machado, Thomas Bäck
| Parallel Problem Solving from Nature – PPSN XVIII : 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14–18, 2024, Proceedings, Part I / / edited by Michael Affenzeller, Stephan M. Winkler, Anna V. Kononova, Heike Trautmann, Tea Tušar, Penousal Machado, Thomas Bäck |
| Autore | Affenzeller Michael |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (443 pages) |
| Disciplina | 006.31 |
| Altri autori (Persone) |
WinklerStephan M
KononovaAnna V TrautmannHeike TusarTea MachadoPenousal BäckThomas |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Machine learning
Software engineering Application software Computer engineering Computer networks Computers Computer systems Machine Learning Software Engineering Computer and Information Systems Applications Computer Engineering and Networks Computing Milieux Computer System Implementation |
| ISBN | 3-031-70055-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910886997003321 |
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Affenzeller Michael
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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