Practical Handbook of Genetic Algorithms: Complex Coding Systems, Volume III / Edition 1

by Lance D. Chambers

Overview

Practical Handbook of Genetic Algorithms, Volume 3: Complex Coding Systems contains computer-code examples for the development of genetic algorithm systems - compiling them from an array of practitioners in the field.
Each contribution of this singular resource includes:

unique code segments

documentation

description of the operations performed

rationale for the chosen approach

problems the code overcomes or addresses
Practical Handbook of Genetic Algorithms, Volume 3: Complex Coding Systems complements the first two volumes in the series by offering examples of computer code. The first two volumes dealt with new research and an overview of the types of applications that could be taken with GAs. This volume differs from its predecessors by specifically concentrating on specific functions in genetic algorithms, serving as the only compilation of useful and usable computer code in the field.

Product Details

ISBN-13:	9780849325397
Publisher:	Taylor & Francis
Publication date:	12/23/1998
Series:	Practical Handbook of Genetic Algorithms Series , #3
Pages:	592
Product dimensions:	6.12(w) x 9.19(h) x (d)

About the Author

Chambers, Lance D.

Table of Contents

A Lamarckian Evolution Strategy for Genetic Algorithms. The Generalization and Solving of Timetable Scheduling Problems. Implementing Fast and Flexible Parallel Genetic Algorithms. Pattern Evolver. Matrix-Based GA Representations in a Model of Evolving Animal Communication. Algorithms to Improve the Convergence of a Genetic Algorithm with a Finite State Machine Genome. A Synthesizable VHDL Coding of a Genetic Algorithm. Genetic Algorithm Model Fitting. A Hybrid Genetic Algorithm, Simulated Annealing and Tabu Search Heuristics for Vehicle Routing Problems with Time Windows. Doing Gas with GAGS. Memory Efficiency and Speed Enhancement Code for Gas. Adaptive Portfolio Trading Strategies. Population Size, Building Blocks, Fitness Landscape and Genetic Algorithm Search Efficiency in Combinatorial Optimization: An Empirical Study. Experimental Results on the Effects of Multi-Parent Recombination: An Overview. Appendix.

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Editorial Reviews

Offers 14 examples of computer code for algorithms for investigating biological evolution. Each contribution contains unique code segments, documentation, a description of the operations performed, the rationale for the chosen approach, and problems the code overcomes or addresses. All of the codes can be downloaded from the CRC web site; the editor has not verified any of them. Subject and author indexes are included for the bibliography, but not for the text as a whole. The third volume probably concludes the series; the first two describe new research and types of applications. Annotation c. by Book News, Inc., Portland, Or.

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