Ghosh / Tsutsui Advances in Evolutionary Computing

Theory and Applications
2003
ISBN: 978-3-642-18965-4
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 1006 Seiten, eBook

Reihe: Natural Computing Series

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 deal with various theoretical aspects of EC and 17 articles demonstrate the success of EC methodologies. These articles are written by leading experts of the field from different countries all over the world.

Zielgruppe

Research

Autoren/Hrsg.

Ghosh, Ashish

Tsutsui, Shigeyoshi

Inhaltsverzeichnis

I.- Smoothness, Ruggedness and Neutrality of Fitness Landscapes: from Theory to Application.- Fast Evolutionary Algorithms.- Visualizing Evolutionary Computation.- New Schemes of Biologically Inspired Evolutionary Computation.- On the Design of Problem-specific Evolutionary Algorithms.- Multiparent Recombination in Evolutionary Computing.- TCG-2: A Test-case Generator for Non-linear Parameter Optimisation Techniques.- A Real-coded Genetic Algorithm Using the Unimodal Normal Distribution Crossover.- Designing Evolutionary Algorithms for Dynamic Optimization Problems.- Multi-objective Evolutionary Algorithms: Introducing Bias Among Pareto-optimal Solutions.- Gene Expression and Scalable Genetic Search.- Solving Permutation Problems with the Ordering Messy Genetic Algorithm.- Effects of Adding Perturbations to Phenotypic Parameters in Genetic Algorithms for Searching Robust Solutions.- Evolution of Strategies for Resource Protection Problems.- A Unified Bayesian Framework for Evolutionary Learning and Optimization.- Designed Sampling with Crossover Operators.- Evolutionary Computation for Evolutionary Theory.- Computational Embryology: Past, Present and Future.- An Evolutionary Approach to Synthetic Biology: Zen in the Art of Creating Life.- Scatter Search.- The Ant Colony Optimization Paradigm for Combinatorial Optimization.- Evolving Coordinated Agents.- Exploring the Predictable.- II.- Approaches to Combining Local and Evolutionary Search for Training Neural Networks: A Review and Some New Results.- Evolving Analog Circuits by Variable Length Chromosomes.- Human-competitive Applications of Genetic Programming.- Evolutionary Algorithms for the Physical Design of VLSI Circuits.- From Theory to Practice: An Evolutionary Algorithm for the Antenna Placement Problem.- Routing Optimization in Corporate Networks by Evolutionary Algorithms.- Genetic Algorithms and Timetabling.- Machine Learning by Schedule Decomposition — Prospects for an Integration of AI and OR Techniques for Job Shop Scheduling.- Scheduling of Bus Drivers’ Service by a Genetic Algorithm.- A Survey of Evolutionary Algorithms for Data Mining and Knowledge Discovery.- Data Mining from Clinical Data Using Interactive Evolutionary Computation.- Learning-integrated Interactive Image Segmentation.- An Immunogenetic Approach in Chemical Spectrum Recognition.- Application of Evolutionary Computation to Protein Folding.- Evolutionary Generation of Regrasping Motion.- Recent Trends in Learning Classifier Systems Research.- Better than Samuel: Evolving a Nearly Expert Checkers Player.