Ebook: Advances in Evolutionary Computing: Theory and Applications

The term evolutionary computing (EC) refers to the study of the foundations and applications of certain heuristic techniques based on the principles of natural evolution, and thus the aim when designing evolutionary algorithms (EAs) is to mimic some of the processes taking place in natural evolution.

Many researchers around the world have been developing EC methodologies for designing intelligent decision-making systems for a variety of real-world problems. This book provides a collection of 40 articles, written by leading experts in the field, containing new material on both the theoretical aspects of EC and demonstrating its usefulness in various kinds of large-scale real-world problems. Of the articles contributed, 23 articles deal with various theoretical aspects of EC and 17 demonstrate successful applications of EC methodologies.

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Content:
Front Matter....Pages I-XVI
Front Matter....Pages 1-1
Smoothness, Ruggedness and Neutrality of Fitness Landscapes: from Theory to Application....Pages 3-44
Fast Evolutionary Algorithms....Pages 45-94
Visualizing Evolutionary Computation....Pages 95-116
New Schemes of Biologically Inspired Evolutionary Computation....Pages 117-151
On the Design of Problem-specific Evolutionary Algorithms....Pages 153-173
Multiparent Recombination in Evolutionary Computing....Pages 175-192
A Real-coded Genetic Algorithm using the Unimodal Normal Distribution Crossover....Pages 193-212
Designing Evolutionary Algorithms for Dynamic Optimization Problems....Pages 213-237
Multi-objective Evolutionary Algorithms: Introducing Bias Among Pareto-optimal Solutions....Pages 239-262
Gene Expression and Scalable Genetic Search....Pages 263-292
Solving Permutation Problems with the Ordering Messy Genetic Algorithm....Pages 293-319
Effects of Adding Perturbations to Phenotypic Parameters in Genetic Algorithms for Searching Robust Solutions....Pages 321-350
Evolution of Strategies for Resource Protection Problems....Pages 351-365
A Unified Bayesian Framework for Evolutionary Learning and Optimization....Pages 367-392
Designed Sampling with Crossover Operators....Pages 393-412
Evolutionary Computation for Evolutionary Theory....Pages 413-439
Computational Embryology: Past, Present and Future....Pages 441-460
An Evolutionary Approach to Synthetic Biology: Zen in the Art of Creating Life....Pages 461-477
Scatter Search....Pages 479-517
Front Matter....Pages 519-537
The Ant Colony Optimization Paradigm for Combinatorial Optimization....Pages 1-1
Evolving Coordinated Agents....Pages 539-557
Exploring the Predictable....Pages 559-577
Front Matter....Pages 579-612
Approaches to Combining Local and Evolutionary Search for Training Neural Networks: A Review and Some New Results....Pages 613-613
Evolving Analog Circuits by Variable Length Chromosomes....Pages 615-641
Human-competitive Applications of Genetic Programming....Pages 643-662
Evolutionary Algorithms for the Physical Design of VLSI Circuits....Pages 663-682
From Theory to Practice: An Evolutionary Algorithm for the Antenna Placement Problem....Pages 683-711
Routing Optimization in Corporate Networks by Evolutionary Algorithms....Pages 713-737
Genetic Algorithms and Timetabling....Pages 739-753
Machine Learning by Schedule Decomposition — Prospects for an Integration of AI and OR Techniques for Job Shop Scheduling....Pages 755-771
Scheduling of Bus Drivers’ Service by a Genetic Algorithm....Pages 773-798
A Survey of Evolutionary Algorithms for Data Mining and Knowledge Discovery....Pages 799-817
Data Mining from Clinical Data using Interactive Evolutionary Computation....Pages 819-845
Learning-integrated Interactive Image Segmentation....Pages 847-861
An Immunogenetic Approach in Chemical Spectrum Recognition....Pages 863-895
Application of Evolutionary Computation to Protein Folding....Pages 897-914
Evolutionary Generation of Regrasping Motion....Pages 915-940
Recent Trends in Learning Classifier Systems Research....Pages 941-954
Beyond Samuel: Evolving a Nearly Expert Checkers Player....Pages 955-988
Back Matter....Pages 989-1004
....Pages 1005-1007