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Agent-based evolutionary search / / Ruhul Amin Sarker and Tapabrata Ray (Eds.)
| Agent-based evolutionary search / / Ruhul Amin Sarker and Tapabrata Ray (Eds.) |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin ; ; Heidelberg, : Springer-Verlag, c2010 |
| Descrizione fisica | 1 online resource (X, 206 p.) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
SarkerRuhul A
RayTapabrata |
| Collana | Adaptation, learning and optimization |
| Soggetto topico |
Multiagent systems
Evolutionary computation Computer algorithms |
| ISBN |
9783642340970
3642340970 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Machine Learning and Multiagent Systems as Interrelated Technologies -- Ant Colony Optimization for the Multi-criteria Vehicle Navigation Problem -- Solving Instances of the Capacitated Vehicle Routing Problem Using Multi-Agent Non-Distributed and Distributed Environment -- Structure vs. Efficiency of the Cross-Entropy Based Population Learning Algorithm for Discrete-Continuous Scheduling with Continuous Resource Discretisation -- Triple-Action Agents Solving the MRCPSP/max Problem -- Team of A-Teams - a Study of the Cooperation Between Program Agents Solving Difficult Optimization Problems -- Distributed Bregman-Distance Algorithms for Min-Max Optimization -- A Probability Collectives Approach for Multi-Agent Distributed and Cooperative Optimization with Tolerance for Agent Failure. |
| Record Nr. | UNINA-9910438048503321 |
| Berlin ; ; Heidelberg, : Springer-Verlag, c2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial Life and Computational Intelligence [[electronic resource] ] : Second Australasian Conference, ACALCI 2016, Canberra, ACT, Australia, February 2-5, 2016, Proceedings / / edited by Tapabrata Ray, Ruhul Sarker, Xiaodong Li
| Artificial Life and Computational Intelligence [[electronic resource] ] : Second Australasian Conference, ACALCI 2016, Canberra, ACT, Australia, February 2-5, 2016, Proceedings / / edited by Tapabrata Ray, Ruhul Sarker, Xiaodong Li |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XIII, 375 p. 115 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Computers Pattern recognition Algorithms Optical data processing Application software Artificial Intelligence Computation by Abstract Devices Pattern Recognition Algorithm Analysis and Problem Complexity Image Processing and Computer Vision Information Systems Applications (incl. Internet) |
| ISBN | 3-319-28270-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Mathematical Modeling and Theory -- Fractal Dimension - A Spatial and Visual Design Technique for the Creation of Lifelike Artificial Forms -- Using Closed Sets to Model Cognitive Behavior -- Learning and Optimization -- Solving dynamic optimisation problem with known changeable boundaries -- Compaction for Code Fragment Based Learning Classifier Systems -- The Boon of Gene-Culture Interaction for Effective Evolutionary Multitasking -- A Study on Performance Metrics to Identify Solutions of Interest From a Trade-off Set -- Dynamic Configuration of Differential Evolution Control Parameters and Operators -- Exploring the Feasible Space using Constraint Consensus in Solving Constrained Optimization Problems -- A Nested Differential Evolution based Algorithm for Solving Multi-objective Bilevel Optimization Problems -- Parkinson’s Disease Data Classification Using Evolvable Wavelet Neural Networks -- GO-PEAS: A Scalable Yet Accurate Grid-based Outlier Detection Method Using Novel Pruning Searching Techniques -- Multi-objective Genetic Programming for Figure-ground Image Segmentation -- A New Modification of Fuzzy C-Means via Particle Swarm Optimization for Noisy Image Segmentation -- Competitive Island Cooperative Neuro-Evolution of Feedforward Networks for Time Series Prediction -- Reverse Neuron Level Decomposition for Cooperative Neuro-Evolution of Feedforward Networks for Time Series Prediction -- A Delaunay Triangulation Based Density Measurement for Evolutionary Multi-objective Optimization -- Use of Infeasible Solutions During Constrained Evolutionary Search: A Short Survey -- Planning and Scheduling -- A Differential Evolution Algorithm for Solving Resource Constrained Project Scheduling Problems -- A hybrid imperialist competitive algorithm for flexible job shop problem -- Parallel Multi-objective Job Shop Scheduling Using Genetic Programming -- Optimization of Location Allocation of Web Services Using A Modified Non-dominated Sorting Genetic Algorithm -- Double Action Genetic Algorithm for Scheduling the Wind-Thermal Generators -- Feature Selection -- Investigating Multi-operator Differential Evolution for Feature Selection -- Coevolutionary Feature Selection and Reconstruction in Neuro-Evolution for Time Series Prediction -- A Subset Similarity Guided Method for Multi-objective Feature Selection -- Applications and Games -- An Evolutionary Optimization Approach to Maximize Runway Throughput Capacity for Hub and Spoke Airports -- Finite Population Trust Game Replicators -- Towards Evolved Time to Contact Neurocontrollers for Quadcopters -- The Effect of Risk Perceived Payoffs in Iterated Interdependent Security Games -- Genetic Algorithm Based Trading System Design. . |
| Record Nr. | UNISA-996466054203316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Artificial Life and Computational Intelligence : Second Australasian Conference, ACALCI 2016, Canberra, ACT, Australia, February 2-5, 2016, Proceedings / / edited by Tapabrata Ray, Ruhul Sarker, Xiaodong Li
| Artificial Life and Computational Intelligence : Second Australasian Conference, ACALCI 2016, Canberra, ACT, Australia, February 2-5, 2016, Proceedings / / edited by Tapabrata Ray, Ruhul Sarker, Xiaodong Li |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XIII, 375 p. 115 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Computers Pattern perception Algorithms Optical data processing Application software Artificial Intelligence Computation by Abstract Devices Pattern Recognition Algorithm Analysis and Problem Complexity Image Processing and Computer Vision Information Systems Applications (incl. Internet) |
| ISBN | 3-319-28270-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Mathematical Modeling and Theory -- Fractal Dimension - A Spatial and Visual Design Technique for the Creation of Lifelike Artificial Forms -- Using Closed Sets to Model Cognitive Behavior -- Learning and Optimization -- Solving dynamic optimisation problem with known changeable boundaries -- Compaction for Code Fragment Based Learning Classifier Systems -- The Boon of Gene-Culture Interaction for Effective Evolutionary Multitasking -- A Study on Performance Metrics to Identify Solutions of Interest From a Trade-off Set -- Dynamic Configuration of Differential Evolution Control Parameters and Operators -- Exploring the Feasible Space using Constraint Consensus in Solving Constrained Optimization Problems -- A Nested Differential Evolution based Algorithm for Solving Multi-objective Bilevel Optimization Problems -- Parkinson’s Disease Data Classification Using Evolvable Wavelet Neural Networks -- GO-PEAS: A Scalable Yet Accurate Grid-based Outlier Detection Method Using Novel Pruning Searching Techniques -- Multi-objective Genetic Programming for Figure-ground Image Segmentation -- A New Modification of Fuzzy C-Means via Particle Swarm Optimization for Noisy Image Segmentation -- Competitive Island Cooperative Neuro-Evolution of Feedforward Networks for Time Series Prediction -- Reverse Neuron Level Decomposition for Cooperative Neuro-Evolution of Feedforward Networks for Time Series Prediction -- A Delaunay Triangulation Based Density Measurement for Evolutionary Multi-objective Optimization -- Use of Infeasible Solutions During Constrained Evolutionary Search: A Short Survey -- Planning and Scheduling -- A Differential Evolution Algorithm for Solving Resource Constrained Project Scheduling Problems -- A hybrid imperialist competitive algorithm for flexible job shop problem -- Parallel Multi-objective Job Shop Scheduling Using Genetic Programming -- Optimization of Location Allocation of Web Services Using A Modified Non-dominated Sorting Genetic Algorithm -- Double Action Genetic Algorithm for Scheduling the Wind-Thermal Generators -- Feature Selection -- Investigating Multi-operator Differential Evolution for Feature Selection -- Coevolutionary Feature Selection and Reconstruction in Neuro-Evolution for Time Series Prediction -- A Subset Similarity Guided Method for Multi-objective Feature Selection -- Applications and Games -- An Evolutionary Optimization Approach to Maximize Runway Throughput Capacity for Hub and Spoke Airports -- Finite Population Trust Game Replicators -- Towards Evolved Time to Contact Neurocontrollers for Quadcopters -- The Effect of Risk Perceived Payoffs in Iterated Interdependent Security Games -- Genetic Algorithm Based Trading System Design. . |
| Record Nr. | UNINA-9910483976303321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Evolutionary Multi-Criterion Optimization : 13th International Conference, EMO 2025, Canberra, ACT, Australia, March 4–7, 2025, Proceedings, Part II / / edited by Hemant Singh, Tapabrata Ray, Joshua Knowles, Xiaodong Li, Juergen Branke, Bing Wang, Akira Oyama
| Evolutionary Multi-Criterion Optimization : 13th International Conference, EMO 2025, Canberra, ACT, Australia, March 4–7, 2025, Proceedings, Part II / / edited by Hemant Singh, Tapabrata Ray, Joshua Knowles, Xiaodong Li, Juergen Branke, Bing Wang, Akira Oyama |
| Autore | Singh Hemant |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (397 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
RayTapabrata
KnowlesJoshua LiXiaodong BrankeJuergen WangBing OyamaAkira |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Artificial intelligence
Artificial Intelligence |
| ISBN |
9789819635382
9819635381 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Algorithm analysis. -- Visual Explanations of Some Problematic Search Behaviors of Frequently Used EMO Algorithms. -- Numerical Analysis of Pareto Set Modeling. -- When Is Non-deteriorating Population Update in MOEAs Beneficial?. -- Analysis of Merge Non-dominated Sorting Algorithm. -- Comparative Analysis of Indicators for Multi-objective Diversity Optimization. -- Performance Analysis of Constrained Evolutionary Multi-Objective Optimization Algorithms on Artificial and Real-World Problems. -- On the Approximation of the Entire Pareto Front of a Constrained Multi objective Optimization Problem. -- Small Population Size is Enough in Many Cases with External Archives. -- Surrogates and machine learning. -- Knowledge Gradient for Multi-Objective Bayesian Optimization with Decoupled Evaluations. -- Surrogate Strategies for Scalarisation-based Multi-objective Bayesian Optimizers. -- A Mixed-Fidelity Evaluation Algorithm for Efficient Constrained Multi- and Many-Objective Optimization: First Results. -- Efficient and Accurate Surrogate-Assisted Approach to Multi-Objective Optimization Using Deep Neural Networks. -- Large Language Model for Multiobjective Evolutionary Optimization. -- Multi-Objective Multi-Agent Reinforcement Learning for Autonomous Driving in Mixed-Traffic Environments. -- Parallel TD3 for Policy Gradient-based Multi-Condition Multi-Objective Optimisation. -- Multi-criteria decision support. -- Reliability-based MCDM Using Objective Preferences Under Variable Uncertainty. -- An Efficient Iterative Approach for Uniformly Representing Pareto Fronts. -- Preference Learning for Multi-objective Reinforcement Learning by Means of Supervised Learning. -- Bayesian preference elicitation for decision support in multi-objective optimization. |
| Record Nr. | UNINA-9910984686703321 |
Singh Hemant
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Evolutionary Multi-Criterion Optimization : 13th International Conference, EMO 2025, Canberra, ACT, Australia, March 4–7, 2025, Proceedings, Part I / / edited by Hemant Singh, Tapabrata Ray, Joshua Knowles, Xiaodong Li, Juergen Branke, Bing Wang, Akira Oyama
| Evolutionary Multi-Criterion Optimization : 13th International Conference, EMO 2025, Canberra, ACT, Australia, March 4–7, 2025, Proceedings, Part I / / edited by Hemant Singh, Tapabrata Ray, Joshua Knowles, Xiaodong Li, Juergen Branke, Bing Wang, Akira Oyama |
| Autore | Singh Hemant |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (498 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
RayTapabrata
KnowlesJoshua LiXiaodong BrankeJuergen WangBing OyamaAkira |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Artificial intelligence
Artificial Intelligence |
| ISBN |
9789819635061
9819635063 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Algorithm design. -- Towards an Efficient Innovation Path Seeking Algorithm Using Directed Domination. -- An MaOEA/Local Search Hybrid Based on a Fast, Stochastic BFGS Using Achievement Scalarizing Search Directions. -- Selective evaluations for expediting multi-objective bilevel optimization. -- MOAISDX: A New Multi-objective Artificial Immune System based on Decomposition. -- PAES-25: Local Search, Archiving and Multi/Many-objective PseudoBoolean Functions. -- Weights-Guided Random Bit Climber for Binary Many-objective Optimization. -- Bilevel Optimization-based Decomposition for Solving Single and Multi objective Optimization Problems. -- A Study on Optimistic & Pessimistic Pareto-fronts in Multi objective Bilevel Optimization via ?-Perturbation. -- Cumulative Step Size Adaptation for Adaptive SEMO in Integer Space. -- Adaptive Normal-Boundary Intersection Directions for Evolutionary Many objective Optimization with Complex Pareto Fronts. -- Encodings for Multi-Objective Free-Form Coverage Path Planning. -- VBEA: Voting-Based Evolutionary Algorithm for Multi-Objective Planning. -- Enhancing NSGA-II with a Knee Point for Constrained Multi-objective Optimization. -- Benchmarking. -- Single and Multi-Objective Optimization Benchmark Problems Focusing on Human-Powered Aircraft Design. -- An Extension of the Welded Beam Problem that Includes Multiple Interactng Design Concepts. -- Extended Results on Analytical Hypervolume Indicator Calculation of Linear and Quadratic Pareto Fronts. -- MO-IOHinspector: Anytime Benchmarking of Multi-Objective Algorithms using IOH profiler. -- Applications. -- Multi-Objective Sequential Decision Making for Holistic Supply Chain Optimization. -- Interactive evolutionary re optimization for ground fish survey planning. -- A Multi-Objective Competitive Co-Evolutionary Framework with Progressive Shrinking for Wargame Scenarios. -- -- Impact of Environmental Changes on Optimized Robotics Collective Motion for Multi-Objective Coverage Tasks. |
| Record Nr. | UNINA-9910984694803321 |
|
Singh Hemant
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Evolutionary Multi-Criterion Optimization : 13th International Conference, EMO 2025, Canberra, ACT, Australia, March 4–7, 2025, Proceedings, Part II / / edited by Hemant Singh, Tapabrata Ray, Joshua Knowles, Xiaodong Li, Juergen Branke, Bing Wang, Akira Oyama
| Evolutionary Multi-Criterion Optimization : 13th International Conference, EMO 2025, Canberra, ACT, Australia, March 4–7, 2025, Proceedings, Part II / / edited by Hemant Singh, Tapabrata Ray, Joshua Knowles, Xiaodong Li, Juergen Branke, Bing Wang, Akira Oyama |
| Autore | Singh Hemant |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (397 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
RayTapabrata
KnowlesJoshua LiXiaodong BrankeJuergen WangBing OyamaAkira |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Artificial intelligence
Artificial Intelligence |
| ISBN |
9789819635382
9819635381 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Algorithm analysis. -- Visual Explanations of Some Problematic Search Behaviors of Frequently Used EMO Algorithms. -- Numerical Analysis of Pareto Set Modeling. -- When Is Non-deteriorating Population Update in MOEAs Beneficial?. -- Analysis of Merge Non-dominated Sorting Algorithm. -- Comparative Analysis of Indicators for Multi-objective Diversity Optimization. -- Performance Analysis of Constrained Evolutionary Multi-Objective Optimization Algorithms on Artificial and Real-World Problems. -- On the Approximation of the Entire Pareto Front of a Constrained Multi objective Optimization Problem. -- Small Population Size is Enough in Many Cases with External Archives. -- Surrogates and machine learning. -- Knowledge Gradient for Multi-Objective Bayesian Optimization with Decoupled Evaluations. -- Surrogate Strategies for Scalarisation-based Multi-objective Bayesian Optimizers. -- A Mixed-Fidelity Evaluation Algorithm for Efficient Constrained Multi- and Many-Objective Optimization: First Results. -- Efficient and Accurate Surrogate-Assisted Approach to Multi-Objective Optimization Using Deep Neural Networks. -- Large Language Model for Multiobjective Evolutionary Optimization. -- Multi-Objective Multi-Agent Reinforcement Learning for Autonomous Driving in Mixed-Traffic Environments. -- Parallel TD3 for Policy Gradient-based Multi-Condition Multi-Objective Optimisation. -- Multi-criteria decision support. -- Reliability-based MCDM Using Objective Preferences Under Variable Uncertainty. -- An Efficient Iterative Approach for Uniformly Representing Pareto Fronts. -- Preference Learning for Multi-objective Reinforcement Learning by Means of Supervised Learning. -- Bayesian preference elicitation for decision support in multi-objective optimization. |
| Record Nr. | UNISA-996647866403316 |
|
Singh Hemant
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Evolutionary Multi-Criterion Optimization : 13th International Conference, EMO 2025, Canberra, ACT, Australia, March 4–7, 2025, Proceedings, Part I / / edited by Hemant Singh, Tapabrata Ray, Joshua Knowles, Xiaodong Li, Juergen Branke, Bing Wang, Akira Oyama
| Evolutionary Multi-Criterion Optimization : 13th International Conference, EMO 2025, Canberra, ACT, Australia, March 4–7, 2025, Proceedings, Part I / / edited by Hemant Singh, Tapabrata Ray, Joshua Knowles, Xiaodong Li, Juergen Branke, Bing Wang, Akira Oyama |
| Autore | Singh Hemant |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (498 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
RayTapabrata
KnowlesJoshua LiXiaodong BrankeJuergen WangBing OyamaAkira |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Artificial intelligence
Artificial Intelligence |
| ISBN |
9789819635061
9819635063 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Algorithm design. -- Towards an Efficient Innovation Path Seeking Algorithm Using Directed Domination. -- An MaOEA/Local Search Hybrid Based on a Fast, Stochastic BFGS Using Achievement Scalarizing Search Directions. -- Selective evaluations for expediting multi-objective bilevel optimization. -- MOAISDX: A New Multi-objective Artificial Immune System based on Decomposition. -- PAES-25: Local Search, Archiving and Multi/Many-objective PseudoBoolean Functions. -- Weights-Guided Random Bit Climber for Binary Many-objective Optimization. -- Bilevel Optimization-based Decomposition for Solving Single and Multi objective Optimization Problems. -- A Study on Optimistic & Pessimistic Pareto-fronts in Multi objective Bilevel Optimization via ?-Perturbation. -- Cumulative Step Size Adaptation for Adaptive SEMO in Integer Space. -- Adaptive Normal-Boundary Intersection Directions for Evolutionary Many objective Optimization with Complex Pareto Fronts. -- Encodings for Multi-Objective Free-Form Coverage Path Planning. -- VBEA: Voting-Based Evolutionary Algorithm for Multi-Objective Planning. -- Enhancing NSGA-II with a Knee Point for Constrained Multi-objective Optimization. -- Benchmarking. -- Single and Multi-Objective Optimization Benchmark Problems Focusing on Human-Powered Aircraft Design. -- An Extension of the Welded Beam Problem that Includes Multiple Interactng Design Concepts. -- Extended Results on Analytical Hypervolume Indicator Calculation of Linear and Quadratic Pareto Fronts. -- MO-IOHinspector: Anytime Benchmarking of Multi-Objective Algorithms using IOH profiler. -- Applications. -- Multi-Objective Sequential Decision Making for Holistic Supply Chain Optimization. -- Interactive evolutionary re optimization for ground fish survey planning. -- A Multi-Objective Competitive Co-Evolutionary Framework with Progressive Shrinking for Wargame Scenarios. -- -- Impact of Environmental Changes on Optimized Robotics Collective Motion for Multi-Objective Coverage Tasks. |
| Record Nr. | UNISA-996647866603316 |
|
Singh Hemant
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||