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Advances in Evolutionary Computing: Theory and Applications Book

Advances in Evolutionary Computing: Theory and Applications
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Advances in Evolutionary Computing: Theory and Applications, This book provides a collection of fourty articles containing new material on both theoretical aspects of Evolutionary Computing (EC), and demonstrating the usefulness/success of it for various kinds of large-scale real world problems. Around 23 articles , Advances in Evolutionary Computing: Theory and Applications
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  • Advances in Evolutionary Computing: Theory and Applications
  • Written by author A. Ghosh, S. Tsutsui
  • Published by Springer, 2002/11/26
  • This book provides a collection of fourty articles containing new material on both theoretical aspects of Evolutionary Computing (EC), and demonstrating the usefulness/success of it for various kinds of large-scale real world problems. Around 23 articles
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Book Categories

Authors

Smoothness, Ruggedness and Neutrality of Fitness Landscapes: from Theory to Application 3
Fast Evolutionary Algorithms 45
Visualizing Evolutionary Computation 95
New Schemes of Biologically Inspired Evolutionary Computation 117
On the Design of Problem-specific Evolutionary Algorithms 153
Multiparent Recombination in Evolutionary Computing 175
TCG-2: A Test-case Generator: for Non-linear Parameter Optimisation Techniques 193
A Real-coded Genetic Algorithm Using the Unimodal Normal Distribution Crossover 213
Designing Evolutionary Algorithms for Dynamic Optimization Problems 239
Multi-objective Evolutionary Algorithms: Introducing Bias Among Pareto-optimal Solutions 263
Gene Expression and Scalable Genetic Search 293
Solving Permutation Problems with the Ordering Messy Genetic Algorithm 321
Effects of Adding Perturbations to Phenotypic Parameters in Genetic Algorithms for Searching Robust Solutions 351
Evolution of Strategies for Resource Protection Problems 367
A Unified Bayesian Framework for Evolutionary Learning and Optimization 393
Designed Sampling with Crossover Operators 413
Evolutionary Computation for Evolutionary Theory 441
Computational Embryology: Past, Present and Future 461
An Evolutionary Approach to Synthetic Biology: Zen in the Art of Creating Life 479
Scatter Search 519
The Ant Colony Optimization Paradigm for Combinatorial Optimization 539
Evolving Coordinated Agents 559
Exploring the Predictable 579
Approaches to Combining Local and Evolutionary Search for Training Neural Networks: A Review and Some New Results 615
Evolving Analog Circuits by Variable Length Chromosomes 643
Human-competitive Applications of Genetic Programming 663
Evolutionary Algorithms for the Physical Design of VLSI Circuits 683
From Theory to Practice: An Evolutionary Algorithm for the Antenna Placement Problem 713
Routing Optimization in Corporate Networks by Evolutionary Algorithms 739
Genetic Algorithms and Timetabling 755
Machine Learning by Schedule Decomposition - Prospects for an Integration of AI and OR Techniques for Job Shop Scheduling 773
Scheduling of Bus Drivers' Service by a Genetic Algorithm 799
A Survey of Evolutionary Algorithms for Data Mining and Knowledge Discovery 819
Data Mining from Clinical Data Using Interactive Evolutionary Computation 847
Learning-integrated Interactive Image Segmentation 863
An Immunogenetic Approach in Chemical Spectrum Recognition 897
Application of Evolutionary Computation to Protein Folding 915
Evolutionary Generation of Regrasping Motion 941
Recent Trends in Learning Classifier Systems Research 955
Better than Samuel: Evolving a Nearly Expert Checkers Player 989
Index 1005


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Advances in Evolutionary Computing: Theory and Applications, This book provides a collection of fourty articles containing new material on both theoretical aspects of Evolutionary Computing (EC), and demonstrating the usefulness/success of it for various kinds of large-scale real world problems. Around 23 articles , Advances in Evolutionary Computing: Theory and Applications

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Advances in Evolutionary Computing: Theory and Applications, This book provides a collection of fourty articles containing new material on both theoretical aspects of Evolutionary Computing (EC), and demonstrating the usefulness/success of it for various kinds of large-scale real world problems. Around 23 articles , Advances in Evolutionary Computing: Theory and Applications

Advances in Evolutionary Computing: Theory and Applications

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Advances in Evolutionary Computing: Theory and Applications, This book provides a collection of fourty articles containing new material on both theoretical aspects of Evolutionary Computing (EC), and demonstrating the usefulness/success of it for various kinds of large-scale real world problems. Around 23 articles , Advances in Evolutionary Computing: Theory and Applications

Advances in Evolutionary Computing: Theory and Applications

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