Simulated Evolution and Learning
Springer Berlin (Verlag)
978-3-540-89693-7 (ISBN)
Evolutionary Learning.- Modelling Behaviour Cycles for Life-Long Learning in Motivated Agents.- Breaking the Synaptic Dogma: Evolving a Neuro-inspired Developmental Network.- A New Approach to Adapting Control Parameters in Differential Evolution Algorithm.- A Novel Genetic Algorithm with Orthogonal Prediction for Global Numerical Optimization.- Phylogeny Inference Using a Multi-objective Evolutionary Algorithm with Indirect Representation.- Evolved Look-Up Tables for Simulated DNA Controlled Robots.- Multi-objective Improvement of Software Using Co-evolution and Smart Seeding.- Policy Evolution with Grammatical Evolution.- A PSO Based Adaboost Approach to Object Detection.- Adaptive Non-uniform Distribution of Quantum Particles in mQSO.- Genetically Evolved Fuzzy Rule-Based Classifiers and Application to Automotive Classification.- Improving XCS Performance by Distribution.- Evolving an Ensemble of Neural Networks Using Artificial Immune Systems.- Improving the Performance and Scalability of Differential Evolution.- A Fuzzy-GA Decision Support System for Enhancing Postponement Strategies in Supply Chain Management.- Evolutionary Optimisation.- Solving the Delay-Constrained Capacitated Minimum Spanning Tree Problem Using a Dandelion-Encoded Evolutionary Algorithm.- Generalized Extremal Optimization for Solving Multiprocessor Task Scheduling Problem.- Improving NSGA-II Algorithm Based on Minimum Spanning Tree.- An Island Based Hybrid Evolutionary Algorithm for Optimization.- A Particle Swarm Optimization Based Algorithm for Fuzzy Bilevel Decision Making with Objective-Shared Followers.- Reference Point-Based Particle Swarm Optimization Using a Steady-State Approach.- Genetic Algorithm Based Methods for Identification of Health Risk Factors Aimed at Preventing Metabolic Syndrome.- Extremal Optimisation and Bin Packing.- Extremal Optimisation with a Penalty Approach for the Multidimensional Knapsack Problem.- A Generator for Multimodal Test Functions with Multiple Global Optima.- Choosing Leaders for Multi-objective PSO Algorithms Using Differential Evolution.- Comparison between Genetic Algorithm and Genetic Programming Performance for Photomosaic Generation.- Parameter Tuning of Real-Valued Crossover Operators for Statistics Preservation.- Hybrid Particle Swarm Optimization Based on Thermodynamic Mechanism.- Multiagent Evolutionary Algorithm for T-coloring Problem.- Non-photorealistic Rendering Using Genetic Programming.- Use of Local Ranking in Cellular Genetic Algorithms with Two Neighborhood Structures.- Information Theoretic Classification of Problems for Metaheuristics.- Task Decomposition for Optimization Problem Solving.- Discussion of Search Strategy for Multi-objective Genetic Algorithm with Consideration of Accuracy and Broadness of Pareto Optimal Solutions.- Discussion of Offspring Generation Method for Interactive Genetic Algorithms with Consideration of Multimodal Preference.- Solving Very Difficult Japanese Puzzles with a Hybrid Evolutionary-Logic Algorithm.- Joint Multicast Routing and Channel Assignment in Multiradio Multichannel Wireless Mesh Networks Using Simulated Annealing.- General Game Playing with Ants.- A Generalized Approach to Construct Benchmark Problems for Dynamic Optimization.- A Study on the Performance of Substitute Distance Based Approaches for Evolutionary Many Objective Optimization.- Performance Evaluation of an Adaptive Ant Colony Optimization Applied to Single Machine Scheduling.- Robust Optimization by ?-Ranking on High Dimensional Objective Spaces.- An Evolutionary Method for Natural Languageto SQL Translation.- Attributes of Dynamic Combinatorial Optimisation.- A Weighted Local Sharing Technique for Multimodal Optimisation.- Hybrid Learning.- Hybrid Genetic Programming for Optimal Approximation of High Order and Sparse Linear Systems.- Genetic Vector Quantizer Design on Reconfigurable Hardware.- Pattern Learning and Decision Making in a Photovoltaic System.- Using Numerical Simplification to Control Bloat in Genetic Programming.- Horn Query Learning with Multiple Refinement.- Evolving Digital Circuits in an Industry Standard Hardware Description Language.- Parameterised Indexed FOR-Loops in Genetic Programming and Regular Binary Pattern Strings.- Hierarchical Fuzzy Control for the Inverted Pendulum over the Set of Initial Conditions.- Genetic Programming for Feature Ranking in Classification Problems.- Time Series Prediction with Evolved, Composite Echo State Networks.- Adaptive Systems.- Genetic Synthesis of Software Architecture.- Dual Phase Evolution and Self-organisation in Networks.- Heterogeneous Payoffs and Social Diversity in the Spatial Prisoner's Dilemma game.- Theoretical Issues in Evolutionary Computation.- Crossover Can Be Constructive When Computing Unique Input Output Sequences.- Real-World Applications of Evolutionary Computation Techniques.- Power Electronic Circuits Design: A Particle Swarm Optimization Approach.- Computational Intelligence in Radio Astronomy: Using Computational Intelligence Techniques to Tune Geodesy Models.- An Efficient Hybrid Algorithm for Optimization of Discrete Structures.- Evolutionary Multi-Objective Optimization for Biped Walking.- A Method for Assigning Men and Women with Good Affinity to Matchmaking Parties through Interactive Evolutionary Computation.
Erscheint lt. Verlag | 19.11.2008 |
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Reihe/Serie | Lecture Notes in Computer Science | Theoretical Computer Science and General Issues |
Zusatzinfo | XVI, 658 p. |
Verlagsort | Berlin |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 1006 g |
Themenwelt | Mathematik / Informatik ► Informatik |
Schlagworte | Adaptation • Adaptive Systems • algorithms • alife • Ant Colonies • ant colony optimization • ant-like agents • ants • Artificial Life • Artificial Neural Networks • Artificial societies • Autonomous Agents • bioinspired computing • classification • collective behaviour • Computational Biology • dynamical optimization • evolutionary algorithm • evolutionary computation • evolutionary learning • fuzzy rule-based classifier • Genetic algorithms • genetic programming • Hardcover, Softcover / Informatik, EDV/Informatik • HC/Informatik, EDV/Informatik • hybrid optimisation algorithms • immune artificial systems • Local Search • Metaheuristic • Metaheuristics • Multi-agent Systems • Multi-Objective Optimization • Neural Computation • neural network • Numerical optimization • Optimization • Particle swarm optimization • probabilistic methods • Scheduling • Support Vector Machines |
ISBN-10 | 3-540-89693-7 / 3540896937 |
ISBN-13 | 978-3-540-89693-7 / 9783540896937 |
Zustand | Neuware |
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