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Artificial Evolution [[electronic resource] ] : 15th International Conference, Évolution Artificielle, EA 2022, Exeter, UK, October 31 – November 2, 2022, Revised Selected Papers / / edited by Pierrick Legrand, Arnaud Liefooghe, Edward Keedwell, Julien Lepagnot, Lhassane Idoumghar, Nicolas Monmarché, Evelyne Lutton
| Artificial Evolution [[electronic resource] ] : 15th International Conference, Évolution Artificielle, EA 2022, Exeter, UK, October 31 – November 2, 2022, Revised Selected Papers / / edited by Pierrick Legrand, Arnaud Liefooghe, Edward Keedwell, Julien Lepagnot, Lhassane Idoumghar, Nicolas Monmarché, Evelyne Lutton |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (234 pages) |
| Disciplina | 005.432 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Artificial intelligence
Algorithms Numerical analysis Computer networks Computer engineering Artificial Intelligence Numerical Analysis Computer Communication Networks Computer Engineering and Networks |
| ISBN | 3-031-42616-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | On the Active Use of an ND-Tree-Based Archive for Multi-Objective Optimisation -- HyTEA: Hybrid Tree Evolutionary Algorithm -- A Game Theoretic Decision Tree for Binary Classification -- Evaluating a New Genetic Algorithm for Automated Machine Learning in Positive-Unlabelled Learning -- Neural Network-based Virtual Analog Modeling -- Defining a Quality Measure Within Crossover: An Electric Bus Scheduling Case Study -- Maximizing the Number of Satisfied Charging Demands in Electric Vehicle Charging Scheduling Problem -- Fine-Grained Cooperative Coevolution in a Single Population: Between Evolution and Swarm Intelligence -- One-Class Ant-Miner: Selection of Majority Class Rules for Binary Rule-based Classification -- Towards a Many-Objective Optimiser for University Course Timetabling -- Empirical Investigation of MOEAs for Multi-objective Design of Experiments -- Evolutionary Continuous Optimization of Hybrid Gene Regulatory Networks -- Designing Attention based Convolutional Neural Network (CNN) Architectures for Medical Image Classification using Genetic Algorithm based on Variable Length-encoding Scheme -- A Multi-objective 3D Offline UAV Path Planning Problem with Variable Flying Altitude -- An Elitist Non-dominated Heuristic Resolution for the Dynamic Asset Protection Problem. |
| Record Nr. | UNISA-996546848903316 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Artificial Evolution : 15th International Conference, Évolution Artificielle, EA 2022, Exeter, UK, October 31 – November 2, 2022, Revised Selected Papers / / edited by Pierrick Legrand, Arnaud Liefooghe, Edward Keedwell, Julien Lepagnot, Lhassane Idoumghar, Nicolas Monmarché, Evelyne Lutton
| Artificial Evolution : 15th International Conference, Évolution Artificielle, EA 2022, Exeter, UK, October 31 – November 2, 2022, Revised Selected Papers / / edited by Pierrick Legrand, Arnaud Liefooghe, Edward Keedwell, Julien Lepagnot, Lhassane Idoumghar, Nicolas Monmarché, Evelyne Lutton |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (234 pages) |
| Disciplina | 005.432 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Artificial intelligence
Algorithms Numerical analysis Computer networks Computer engineering Artificial Intelligence Numerical Analysis Computer Communication Networks Computer Engineering and Networks |
| ISBN | 3-031-42616-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | On the Active Use of an ND-Tree-Based Archive for Multi-Objective Optimisation -- HyTEA: Hybrid Tree Evolutionary Algorithm -- A Game Theoretic Decision Tree for Binary Classification -- Evaluating a New Genetic Algorithm for Automated Machine Learning in Positive-Unlabelled Learning -- Neural Network-based Virtual Analog Modeling -- Defining a Quality Measure Within Crossover: An Electric Bus Scheduling Case Study -- Maximizing the Number of Satisfied Charging Demands in Electric Vehicle Charging Scheduling Problem -- Fine-Grained Cooperative Coevolution in a Single Population: Between Evolution and Swarm Intelligence -- One-Class Ant-Miner: Selection of Majority Class Rules for Binary Rule-based Classification -- Towards a Many-Objective Optimiser for University Course Timetabling -- Empirical Investigation of MOEAs for Multi-objective Design of Experiments -- Evolutionary Continuous Optimization of Hybrid Gene Regulatory Networks -- Designing Attention based Convolutional Neural Network (CNN) Architectures for Medical Image Classification using Genetic Algorithm based on Variable Length-encoding Scheme -- A Multi-objective 3D Offline UAV Path Planning Problem with Variable Flying Altitude -- An Elitist Non-dominated Heuristic Resolution for the Dynamic Asset Protection Problem. |
| Record Nr. | UNINA-9910743692903321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial Evolution [[electronic resource] ] : 14th International Conference, Évolution Artificielle, EA 2019, Mulhouse, France, October 29–30, 2019, Revised Selected Papers / / edited by Lhassane Idoumghar, Pierrick Legrand, Arnaud Liefooghe, Evelyne Lutton, Nicolas Monmarché, Marc Schoenauer
| Artificial Evolution [[electronic resource] ] : 14th International Conference, Évolution Artificielle, EA 2019, Mulhouse, France, October 29–30, 2019, Revised Selected Papers / / edited by Lhassane Idoumghar, Pierrick Legrand, Arnaud Liefooghe, Evelyne Lutton, Nicolas Monmarché, Marc Schoenauer |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (xiv, 218 pages) : illustrations |
| Disciplina | 006.3 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Artificial intelligence
Algorithms Numerical analysis Computer networks Computer engineering Artificial Intelligence Numerical Analysis Computer Communication Networks Computer Engineering and Networks |
| ISBN | 3-030-45715-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | From Feature Selection to Continuous Optimization -- Evolving a Weighted Combination of Text Similarities for Authorship Attribution -- Image Signal Processor Parameter Tuning with Surrogate-assisted Particle Swarm Optimization -- Combinatorial Surrogate-assisted Optimization for Bus Stops Spacing Problem -- Optimization of a Checkers Player Using Neural and Metaheuristic Approaches -- A Novel Outlook on Feature Selection as a Multi-Objective Problem -- Fast Evolutionary Algorithm for Solving Large-scale Multi-objective Problems -- Looking for Energy Efficient Genetic Algorithms -- Evolving Fitness Landscapes with Complementary Fitness Functions -- Bayesian Immigrant Diploid Genetic Algorithm for Dynamic Environments -- Ant Colony Optimization Algorithm for a Transportation Problem in Home Health Care with the Consideration of Carbon Emissions -- Selective Vehicle Routing Problem: A Hybrid Genetic Algorithm Approach -- Fixed Jobs Multi-agent Scheduling Problem with Renewable Resources -- A Study of Recombination Operators for the Cyclic Bandwidth Problem -- Automatic Calibration of a Farm Irrigation Model: a Multi-modal Optimization Approach -- A Hybrid Evolutionary Algorithm for Offline UAV Path Planning. |
| Record Nr. | UNISA-996418216103316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Artificial Evolution : 14th International Conference, Évolution Artificielle, EA 2019, Mulhouse, France, October 29–30, 2019, Revised Selected Papers / / edited by Lhassane Idoumghar, Pierrick Legrand, Arnaud Liefooghe, Evelyne Lutton, Nicolas Monmarché, Marc Schoenauer
| Artificial Evolution : 14th International Conference, Évolution Artificielle, EA 2019, Mulhouse, France, October 29–30, 2019, Revised Selected Papers / / edited by Lhassane Idoumghar, Pierrick Legrand, Arnaud Liefooghe, Evelyne Lutton, Nicolas Monmarché, Marc Schoenauer |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (xiv, 218 pages) : illustrations |
| Disciplina |
006.3
005.1 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Artificial intelligence
Algorithms Numerical analysis Computer networks Computer engineering Artificial Intelligence Numerical Analysis Computer Communication Networks Computer Engineering and Networks |
| ISBN | 3-030-45715-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | From Feature Selection to Continuous Optimization -- Evolving a Weighted Combination of Text Similarities for Authorship Attribution -- Image Signal Processor Parameter Tuning with Surrogate-assisted Particle Swarm Optimization -- Combinatorial Surrogate-assisted Optimization for Bus Stops Spacing Problem -- Optimization of a Checkers Player Using Neural and Metaheuristic Approaches -- A Novel Outlook on Feature Selection as a Multi-Objective Problem -- Fast Evolutionary Algorithm for Solving Large-scale Multi-objective Problems -- Looking for Energy Efficient Genetic Algorithms -- Evolving Fitness Landscapes with Complementary Fitness Functions -- Bayesian Immigrant Diploid Genetic Algorithm for Dynamic Environments -- Ant Colony Optimization Algorithm for a Transportation Problem in Home Health Care with the Consideration of Carbon Emissions -- Selective Vehicle Routing Problem: A Hybrid Genetic Algorithm Approach -- Fixed Jobs Multi-agent Scheduling Problem with Renewable Resources -- A Study of Recombination Operators for the Cyclic Bandwidth Problem -- Automatic Calibration of a Farm Irrigation Model: a Multi-modal Optimization Approach -- A Hybrid Evolutionary Algorithm for Offline UAV Path Planning. |
| Record Nr. | UNINA-9910409672003321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial Evolution [[electronic resource] ] : 13th International Conference, Évolution Artificielle, EA 2017, Paris, France, October 25–27, 2017, Revised Selected Papers / / edited by Evelyne Lutton, Pierrick Legrand, Pierre Parrend, Nicolas Monmarché, Marc Schoenauer
| Artificial Evolution [[electronic resource] ] : 13th International Conference, Évolution Artificielle, EA 2017, Paris, France, October 25–27, 2017, Revised Selected Papers / / edited by Evelyne Lutton, Pierrick Legrand, Pierre Parrend, Nicolas Monmarché, Marc Schoenauer |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XVI, 231 p. 77 illus.) |
| Disciplina | 005.1 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Artificial intelligence
Algorithms Computer science—Mathematics Discrete mathematics Numerical analysis Artificial Intelligence Discrete Mathematics in Computer Science Numerical Analysis Mathematical Applications in Computer Science |
| ISBN | 3-319-78133-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Évolution Artificielle 2017 - EA 2017 -- Abstracts of Invited Talks -- The Cartography of Computational Search Spaces -- Progressive Data Analysis: A New Computation Paradigm for Scalability in Exploratory Data Analysis -- Contents -- On the Design of a Master-Worker Adaptive Algorithm Selection Framework -- 1 Introduction -- 2 Related Works -- 2.1 Sequential Adaptive Algorithm Selection -- 2.2 Parallel Adaptive Algorithm Selection -- 2.3 Benchmarks: The Fitness Cloud Model -- 3 M/W Framework Description -- 3.1 Aggregation of Local Reward Values -- 3.2 Homogeneous vs. Heterogeneous Adaptive Selection -- 4 Experimental Analysis -- 4.1 Overall Relative Performance -- 4.2 Analysis of the Reward Aggregation Functions -- 4.3 Analysis of the Heterogeneity Scenarios -- 5 Conclusions -- References -- Comparison of Acceptance Criteria in Randomized Local Searches -- 1 Introduction -- 2 Literature Review -- 3 Experimental Setup -- 4 Experiments on the Quadratic Assignment Problem -- 5 Experiments on the Permutation Flow-Shop Problem -- 6 Conclusions -- References -- A Fitness Landscape View on the Tuning of an Asynchronous Master-Worker EA for Nuclear Reactor Design -- 1 Introduction -- 2 Preliminaries -- 2.1 Evolutionary Optimization for Nuclear Energy Problems -- 2.2 Parallel Evolutionary Algorithms -- 2.3 Landscape Aware Parameter Tuning -- 3 Problem Definition -- 3.1 Description of the System -- 3.2 Criterion of Interest -- 4 Asynchronous Parallel EA -- 4.1 Algorithm Definition -- 4.2 Mutation Operator -- 5 Experimental Analysis -- 5.1 Baseline Parameters Setting -- 5.2 Impact of the Mutation Parameters -- 5.3 Fitness Landscape Analysis -- 6 Conclusions -- References -- Sampled Walk and Binary Fitness Landscapes Exploration -- 1 Introduction -- 2 Fitness Landscapes -- 3 Partial Neighborhood Local Searches.
4 Analysis on Binary Fitness Landscapes -- 4.1 Experimental Protocol -- 4.2 Results -- 4.3 Landscapes Ruggedness and Partial Neighborhood LS Efficiency -- 5 Conclusion -- References -- Semantics-Based Crossover for Program Synthesis in Genetic Programming -- 1 Introduction -- 2 Related Work -- 2.1 Semantics -- 2.2 Semantic Crossover -- 3 Semantics in Program Synthesis -- 3.1 Semantic Similarity Measure with Traces -- 3.2 Semantic Crossover for Program Synthesis -- 4 Experimental Setup -- 4.1 Benchmark Problems -- 5 Results -- 5.1 Successful Runs and Fitness -- 5.2 Parent Comparison -- 5.3 Types Selected for Similarity Measurement -- 6 Conclusion and Future Work -- References -- On the Use of Dynamic GP Fitness Cases in Static and Dynamic Optimisation Problems -- 1 Introduction -- 2 Related Work -- 2.1 Fitness Cases in Genetic Programming -- 2.2 Promoting and Maintaining Diversity -- 3 Proposed Approaches -- 3.1 Dynamic Fitness Cases -- 3.2 Kendall Tau Distance -- 4 Experimental Setup -- 5 Results and Discussion -- 5.1 Performance on a Static Setting -- 5.2 Performance on a Dynamic Setting -- 5.3 Analysis of the Number of Created Individuals -- 5.4 Size of GP Programs -- 6 Conclusions -- References -- MEMSA: A Robust Parisian EA for Multidimensional Multiple Sequence Alignment -- 1 Introduction -- 1.1 Multiple Sequence Alignment (MSA) -- 1.2 Evolutionary Algorithms for MSA -- 1.3 Parisian Evolution Approach -- 2 Genetic Algorithm with Parisian Approach for MSA -- 2.1 Individuals/Patches -- 2.2 Initialisation -- 2.3 Crossover -- 2.4 Mutator -- 2.5 Evaluation -- 2.6 Diversity Preservation -- 2.7 Selection of Individuals for the New Generation -- 2.8 Patchwork to Create an MSA -- 2.9 Run Parameters and Behaviour of the Algorithm -- 3 Experiments and Validation -- 4 Discussion and Conclusion -- References. Basic, Dual, Adaptive, and Directed Mutation Operators in the Fly Algorithm -- 1 Introduction -- 2 Problem Definition and Motivations -- 3 Overview of the Fly Algorithm for PET Reconstruction -- 4 Varying Mutation Operators in the Fly Algorithm -- 4.1 Basic Mutation -- 4.2 Adaptive Mutation Variance -- 4.3 Dual Mutation -- 4.4 Directed Mutation -- 5 Results -- 6 Conclusion -- References -- A New High-Level Relay Hybrid Metaheuristic for Black-Box Optimization Problems -- 1 Introduction -- 2 Presentation of the Hybridized Components -- 2.1 Overview of MLSDO Algorithm -- 2.2 Overview of SHADE Algorithm -- 2.3 Overview of SPSO2011 Algorithm -- 3 The Proposed Hybrid Algorithm -- 4 Experimental Protocol and Parameter Setting -- 4.1 The BBOB 2015 Benchmark -- 4.2 The Black Box Optimization Competition -- 4.3 Parameter Setting -- 5 Experimental Results and Discussion -- 5.1 Results for the BBOB 2015 Benchmark -- 5.2 Results at the Black Box Optimization Competition -- 6 Conclusion -- References -- Improved Hybrid Iterative Tabu Search for QAP Using Distance Cooperation -- 1 Introduction -- 2 Background -- 3 Distributed and Cooperative Algorithms -- 3.1 Distributed Hybrid Iterative Tabu Search -- 3.2 Distance Cooperation Hybrid Iterative Tabu Search -- 4 Experimental Results -- 4.1 Platform and Tests -- 4.2 Parameters -- 4.3 Experimentation -- 4.4 Literature Comparison -- 5 Conclusion and Perspectives -- References -- H-ACO: A Heterogeneous Ant Colony Optimisation Approach with Application to the Travelling Salesman Problem -- 1 Introduction -- 2 Ant Colony Optimization -- 3 Heterogeneous ACO -- 4 Methodology -- 4.1 Travelling Salesman Problem bib2 -- 5 Experimental Setup -- 6 Heterogeneous ACO Results -- 6.1 Exploring the Ranges of Alpha and Beta -- 6.2 Comparison with Base Algorithms -- 7 Discussion, Conclusion and Future Work -- References. Evolutionary Learning of Fire Fighting Strategies -- 1 Introduction -- 2 Fire Enclosement in a Discrete Grid Setting -- 2.1 A Goal Oriented Evolution Model -- 2.2 Evolutionary Algorithm -- 2.3 Experimental Results -- 2.4 Fire Enclosement Conclusion -- 3 Protection of a Highway -- 3.1 Evolution Models -- 3.2 Evolutionary Algorithm -- 3.3 Experimental Results -- 3.4 Highway Protection Conclusion -- 4 Future Work on Theoretical Threshold Questions -- References -- Evolutionary Optimization of Tone Mapped Image Quality Index -- 1 Introduction -- 2 Related Work -- 3 Algorithm -- 3.1 Tone Mapping -- 3.2 Evolutionary Optimization -- 4 Experimental Results -- 5 Conclusion -- References -- LIDeOGraM: An Interactive Evolutionary Modelling Tool -- 1 Introduction -- 2 Background -- 2.1 Food Complex Systems -- 2.2 Symbolic Regression -- 2.3 Production and Stabilisation Process of Lactic Acid Bacteria -- 3 Proposed Approach -- 4 Experimental Results -- 4.1 The Dataset -- 4.2 Search with Eureqa -- 4.3 Optimisation of the Global Model -- 5 Discussion -- 6 Conclusions -- References -- Automatic Configuration of GCC Using Irace -- 1 Introduction -- 2 Automatic Algorithm Configuration -- 3 Configuration Scenarios -- 4 GCC Configuration Scenarios Analysis -- 5 Experimental Results -- 6 Conclusion and Future Work -- References -- Offline Learning for Selection Hyper-heuristics with Elman Networks -- 1 Introduction -- 2 Methodology -- 2.1 HyFlex and the Offline Learning Database -- 2.2 Final Log Returns and the BEST Sequences -- 2.3 Elman Networks -- 2.4 Training Sets -- 2.5 The BLIND Hyper-heuristic -- 3 Results -- 3.1 Network Training -- 3.2 Evaluating the Elman Network Sequences -- 4 Conclusions -- References -- Author Index. |
| Record Nr. | UNISA-996465520903316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Artificial Evolution : 13th International Conference, Évolution Artificielle, EA 2017, Paris, France, October 25–27, 2017, Revised Selected Papers / / edited by Evelyne Lutton, Pierrick Legrand, Pierre Parrend, Nicolas Monmarché, Marc Schoenauer
| Artificial Evolution : 13th International Conference, Évolution Artificielle, EA 2017, Paris, France, October 25–27, 2017, Revised Selected Papers / / edited by Evelyne Lutton, Pierrick Legrand, Pierre Parrend, Nicolas Monmarché, Marc Schoenauer |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XVI, 231 p. 77 illus.) |
| Disciplina | 005.1 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Artificial intelligence
Algorithms Computer science—Mathematics Discrete mathematics Numerical analysis Artificial Intelligence Discrete Mathematics in Computer Science Numerical Analysis Mathematical Applications in Computer Science |
| ISBN | 3-319-78133-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Évolution Artificielle 2017 - EA 2017 -- Abstracts of Invited Talks -- The Cartography of Computational Search Spaces -- Progressive Data Analysis: A New Computation Paradigm for Scalability in Exploratory Data Analysis -- Contents -- On the Design of a Master-Worker Adaptive Algorithm Selection Framework -- 1 Introduction -- 2 Related Works -- 2.1 Sequential Adaptive Algorithm Selection -- 2.2 Parallel Adaptive Algorithm Selection -- 2.3 Benchmarks: The Fitness Cloud Model -- 3 M/W Framework Description -- 3.1 Aggregation of Local Reward Values -- 3.2 Homogeneous vs. Heterogeneous Adaptive Selection -- 4 Experimental Analysis -- 4.1 Overall Relative Performance -- 4.2 Analysis of the Reward Aggregation Functions -- 4.3 Analysis of the Heterogeneity Scenarios -- 5 Conclusions -- References -- Comparison of Acceptance Criteria in Randomized Local Searches -- 1 Introduction -- 2 Literature Review -- 3 Experimental Setup -- 4 Experiments on the Quadratic Assignment Problem -- 5 Experiments on the Permutation Flow-Shop Problem -- 6 Conclusions -- References -- A Fitness Landscape View on the Tuning of an Asynchronous Master-Worker EA for Nuclear Reactor Design -- 1 Introduction -- 2 Preliminaries -- 2.1 Evolutionary Optimization for Nuclear Energy Problems -- 2.2 Parallel Evolutionary Algorithms -- 2.3 Landscape Aware Parameter Tuning -- 3 Problem Definition -- 3.1 Description of the System -- 3.2 Criterion of Interest -- 4 Asynchronous Parallel EA -- 4.1 Algorithm Definition -- 4.2 Mutation Operator -- 5 Experimental Analysis -- 5.1 Baseline Parameters Setting -- 5.2 Impact of the Mutation Parameters -- 5.3 Fitness Landscape Analysis -- 6 Conclusions -- References -- Sampled Walk and Binary Fitness Landscapes Exploration -- 1 Introduction -- 2 Fitness Landscapes -- 3 Partial Neighborhood Local Searches.
4 Analysis on Binary Fitness Landscapes -- 4.1 Experimental Protocol -- 4.2 Results -- 4.3 Landscapes Ruggedness and Partial Neighborhood LS Efficiency -- 5 Conclusion -- References -- Semantics-Based Crossover for Program Synthesis in Genetic Programming -- 1 Introduction -- 2 Related Work -- 2.1 Semantics -- 2.2 Semantic Crossover -- 3 Semantics in Program Synthesis -- 3.1 Semantic Similarity Measure with Traces -- 3.2 Semantic Crossover for Program Synthesis -- 4 Experimental Setup -- 4.1 Benchmark Problems -- 5 Results -- 5.1 Successful Runs and Fitness -- 5.2 Parent Comparison -- 5.3 Types Selected for Similarity Measurement -- 6 Conclusion and Future Work -- References -- On the Use of Dynamic GP Fitness Cases in Static and Dynamic Optimisation Problems -- 1 Introduction -- 2 Related Work -- 2.1 Fitness Cases in Genetic Programming -- 2.2 Promoting and Maintaining Diversity -- 3 Proposed Approaches -- 3.1 Dynamic Fitness Cases -- 3.2 Kendall Tau Distance -- 4 Experimental Setup -- 5 Results and Discussion -- 5.1 Performance on a Static Setting -- 5.2 Performance on a Dynamic Setting -- 5.3 Analysis of the Number of Created Individuals -- 5.4 Size of GP Programs -- 6 Conclusions -- References -- MEMSA: A Robust Parisian EA for Multidimensional Multiple Sequence Alignment -- 1 Introduction -- 1.1 Multiple Sequence Alignment (MSA) -- 1.2 Evolutionary Algorithms for MSA -- 1.3 Parisian Evolution Approach -- 2 Genetic Algorithm with Parisian Approach for MSA -- 2.1 Individuals/Patches -- 2.2 Initialisation -- 2.3 Crossover -- 2.4 Mutator -- 2.5 Evaluation -- 2.6 Diversity Preservation -- 2.7 Selection of Individuals for the New Generation -- 2.8 Patchwork to Create an MSA -- 2.9 Run Parameters and Behaviour of the Algorithm -- 3 Experiments and Validation -- 4 Discussion and Conclusion -- References. Basic, Dual, Adaptive, and Directed Mutation Operators in the Fly Algorithm -- 1 Introduction -- 2 Problem Definition and Motivations -- 3 Overview of the Fly Algorithm for PET Reconstruction -- 4 Varying Mutation Operators in the Fly Algorithm -- 4.1 Basic Mutation -- 4.2 Adaptive Mutation Variance -- 4.3 Dual Mutation -- 4.4 Directed Mutation -- 5 Results -- 6 Conclusion -- References -- A New High-Level Relay Hybrid Metaheuristic for Black-Box Optimization Problems -- 1 Introduction -- 2 Presentation of the Hybridized Components -- 2.1 Overview of MLSDO Algorithm -- 2.2 Overview of SHADE Algorithm -- 2.3 Overview of SPSO2011 Algorithm -- 3 The Proposed Hybrid Algorithm -- 4 Experimental Protocol and Parameter Setting -- 4.1 The BBOB 2015 Benchmark -- 4.2 The Black Box Optimization Competition -- 4.3 Parameter Setting -- 5 Experimental Results and Discussion -- 5.1 Results for the BBOB 2015 Benchmark -- 5.2 Results at the Black Box Optimization Competition -- 6 Conclusion -- References -- Improved Hybrid Iterative Tabu Search for QAP Using Distance Cooperation -- 1 Introduction -- 2 Background -- 3 Distributed and Cooperative Algorithms -- 3.1 Distributed Hybrid Iterative Tabu Search -- 3.2 Distance Cooperation Hybrid Iterative Tabu Search -- 4 Experimental Results -- 4.1 Platform and Tests -- 4.2 Parameters -- 4.3 Experimentation -- 4.4 Literature Comparison -- 5 Conclusion and Perspectives -- References -- H-ACO: A Heterogeneous Ant Colony Optimisation Approach with Application to the Travelling Salesman Problem -- 1 Introduction -- 2 Ant Colony Optimization -- 3 Heterogeneous ACO -- 4 Methodology -- 4.1 Travelling Salesman Problem bib2 -- 5 Experimental Setup -- 6 Heterogeneous ACO Results -- 6.1 Exploring the Ranges of Alpha and Beta -- 6.2 Comparison with Base Algorithms -- 7 Discussion, Conclusion and Future Work -- References. Evolutionary Learning of Fire Fighting Strategies -- 1 Introduction -- 2 Fire Enclosement in a Discrete Grid Setting -- 2.1 A Goal Oriented Evolution Model -- 2.2 Evolutionary Algorithm -- 2.3 Experimental Results -- 2.4 Fire Enclosement Conclusion -- 3 Protection of a Highway -- 3.1 Evolution Models -- 3.2 Evolutionary Algorithm -- 3.3 Experimental Results -- 3.4 Highway Protection Conclusion -- 4 Future Work on Theoretical Threshold Questions -- References -- Evolutionary Optimization of Tone Mapped Image Quality Index -- 1 Introduction -- 2 Related Work -- 3 Algorithm -- 3.1 Tone Mapping -- 3.2 Evolutionary Optimization -- 4 Experimental Results -- 5 Conclusion -- References -- LIDeOGraM: An Interactive Evolutionary Modelling Tool -- 1 Introduction -- 2 Background -- 2.1 Food Complex Systems -- 2.2 Symbolic Regression -- 2.3 Production and Stabilisation Process of Lactic Acid Bacteria -- 3 Proposed Approach -- 4 Experimental Results -- 4.1 The Dataset -- 4.2 Search with Eureqa -- 4.3 Optimisation of the Global Model -- 5 Discussion -- 6 Conclusions -- References -- Automatic Configuration of GCC Using Irace -- 1 Introduction -- 2 Automatic Algorithm Configuration -- 3 Configuration Scenarios -- 4 GCC Configuration Scenarios Analysis -- 5 Experimental Results -- 6 Conclusion and Future Work -- References -- Offline Learning for Selection Hyper-heuristics with Elman Networks -- 1 Introduction -- 2 Methodology -- 2.1 HyFlex and the Offline Learning Database -- 2.2 Final Log Returns and the BEST Sequences -- 2.3 Elman Networks -- 2.4 Training Sets -- 2.5 The BLIND Hyper-heuristic -- 3 Results -- 3.1 Network Training -- 3.2 Evaluating the Elman Network Sequences -- 4 Conclusions -- References -- Author Index. |
| Record Nr. | UNINA-9910349425603321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial Evolution [[electronic resource] ] : 12th International Conference, Evolution Artificielle, EA 2015, Lyon, France, October 26-28, 2015. Revised Selected Papers / / edited by Stéphane Bonnevay, Pierrick Legrand, Nicolas Monmarché, Evelyne Lutton, Marc Schoenauer
| Artificial Evolution [[electronic resource] ] : 12th International Conference, Evolution Artificielle, EA 2015, Lyon, France, October 26-28, 2015. Revised Selected Papers / / edited by Stéphane Bonnevay, Pierrick Legrand, Nicolas Monmarché, Evelyne Lutton, Marc Schoenauer |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XII, 249 p. 93 illus.) |
| Disciplina | 006.3823 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Artificial intelligence
Computer science Algorithms Information storage and retrieval systems Numerical analysis Pattern recognition systems Artificial Intelligence Theory of Computation Information Storage and Retrieval Numerical Analysis Automated Pattern Recognition |
| ISBN | 3-319-31471-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Evolutionary Computation -- Evolutionary Optimization, Co-evolution, -- Artificial Life -- Population Dynamics -- Theory, Algorithmics and Modeling -- Implementations -- Application of Evolutionary Paradigms to the Real World. |
| Record Nr. | UNISA-996466013503316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Artificial Evolution : 12th International Conference, Evolution Artificielle, EA 2015, Lyon, France, October 26-28, 2015. Revised Selected Papers / / edited by Stéphane Bonnevay, Pierrick Legrand, Nicolas Monmarché, Evelyne Lutton, Marc Schoenauer
| Artificial Evolution : 12th International Conference, Evolution Artificielle, EA 2015, Lyon, France, October 26-28, 2015. Revised Selected Papers / / edited by Stéphane Bonnevay, Pierrick Legrand, Nicolas Monmarché, Evelyne Lutton, Marc Schoenauer |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XII, 249 p. 93 illus.) |
| Disciplina | 006.3823 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Artificial intelligence
Computer science Algorithms Information storage and retrieval systems Numerical analysis Pattern recognition systems Artificial Intelligence Theory of Computation Information Storage and Retrieval Numerical Analysis Automated Pattern Recognition |
| ISBN | 3-319-31471-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Evolutionary Computation -- Evolutionary Optimization, Co-evolution, -- Artificial Life -- Population Dynamics -- Theory, Algorithmics and Modeling -- Implementations -- Application of Evolutionary Paradigms to the Real World. |
| Record Nr. | UNINA-9910484924903321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial Evolution [[electronic resource] ] : 11th International Conference, Evolution Artificielle, EA 2013, Bordeaux, France, October 21-23, 2013. Revised Selected Papers / / edited by Pierrick Legrand, Marc-Michel Corsini, Jin-Kao Hao, Nicolas Monmarché, Evelyne Lutton, Marc Schoenauer
| Artificial Evolution [[electronic resource] ] : 11th International Conference, Evolution Artificielle, EA 2013, Bordeaux, France, October 21-23, 2013. Revised Selected Papers / / edited by Pierrick Legrand, Marc-Michel Corsini, Jin-Kao Hao, Nicolas Monmarché, Evelyne Lutton, Marc Schoenauer |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (XVII, 271 p. 74 illus.) |
| Disciplina | 006.3 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Artificial intelligence
Computer science Algorithms Information storage and retrieval systems Numerical analysis Pattern recognition systems Artificial Intelligence Theory of Computation Information Storage and Retrieval Numerical Analysis Automated Pattern Recognition |
| ISBN | 3-319-11683-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Theory -- Ant colony optimization -- Applications -- Combinatorial and discrete optimization -- Memetic algorithms -- Genetic programming -- Interactive evolution -- Parallel evolutionary algorithms.- Swarm intelligence. |
| Record Nr. | UNISA-996213650803316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Artificial Evolution : 11th International Conference, Evolution Artificielle, EA 2013, Bordeaux, France, October 21-23, 2013. Revised Selected Papers / / edited by Pierrick Legrand, Marc-Michel Corsini, Jin-Kao Hao, Nicolas Monmarché, Evelyne Lutton, Marc Schoenauer
| Artificial Evolution : 11th International Conference, Evolution Artificielle, EA 2013, Bordeaux, France, October 21-23, 2013. Revised Selected Papers / / edited by Pierrick Legrand, Marc-Michel Corsini, Jin-Kao Hao, Nicolas Monmarché, Evelyne Lutton, Marc Schoenauer |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (XVII, 271 p. 74 illus.) |
| Disciplina | 006.3 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Artificial intelligence
Computer science Algorithms Information storage and retrieval systems Numerical analysis Pattern recognition systems Artificial Intelligence Theory of Computation Information Storage and Retrieval Numerical Analysis Automated Pattern Recognition |
| ISBN | 3-319-11683-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Theory -- Ant colony optimization -- Applications -- Combinatorial and discrete optimization -- Memetic algorithms -- Genetic programming -- Interactive evolution -- Parallel evolutionary algorithms.- Swarm intelligence. |
| Record Nr. | UNINA-9910484959303321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
