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Practical Handbook of Genetic Algorithms
DOI link for Practical Handbook of Genetic Algorithms
Practical Handbook of Genetic Algorithms book
New Frontiers
Practical Handbook of Genetic Algorithms
DOI link for Practical Handbook of Genetic Algorithms
Practical Handbook of Genetic Algorithms book
New Frontiers
Edited ByLance Chambers
Edition 1st Edition
First Published 1995
eBook Published 20 December 2019
Pub. Location Boca Raton
Imprint CRC Press
Pages 464
eBook ISBN 9780429128332
Subjects Computer Science
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Chambers, L. (Ed.). (1995). Practical Handbook of Genetic Algorithms: New Frontiers (1st ed.). CRC Press. https://doi.org/10.1201/9780429128332
ABSTRACT
The mathematics employed by genetic algorithms (GAs)are among the most exciting discoveries of the last few decades. But what exactly is a genetic algorithm? A genetic algorithm is a problem-solving method that uses genetics as its model of problem solving. It applies the rules of reproduction, gene crossover, and mutation to pseudo-organism
TABLE OF CONTENTS
chapter Chapter A|26 pages
Multi-Niche Crowding for Multi-Modal Search
ByV. Rao Vemuri, Walter Cedeño
chapter Chapter 1|22 pages
Artificial Neural Network Evolution: Learning to Steer a Land Vehicle
ByShumeet Baluja
chapter Chapter 4|18 pages
Parallel Cooperating Genetic Algorithms: An Application to Robot Motion Planning
Edited ByEl-Ghazali Talbi, Pierre Bessiere, Juan-Manuel Ahuactzin, Emmanuel Mazer
chapter Chapter 6|16 pages
Structure and Performance of Fine-Grain Parallelism in Genetic Search
Edited ByShumeet Baluja
chapter Chapter 7|18 pages
Parameter Estimation for a Generalized Parallel Loop Scheduling Algorithm
Edited ByKelvin K. Yue, David J. Lilja
chapter Chapter 8|24 pages
Controlling a Dynamic Physical System Using Genetic-Based Learning Methods
ByM. O. Odetayo, D. Dasgupta
chapter Chapter 9|22 pages
A Hybrid Approach Using Neural Networks. Simulation. Genetic Algorithms, and Machine Learning for Real-Time Sequencing and Scheduling Problems
ByLuis Rabelo, Albert Jones, Yuehwern Yih
chapter Chapter 11|26 pages
Vehicle Routin1 with Time Windows usin1 Genetic Algorithms
BySam R. Thangiah
chapter Chapter 12|24 pages
Evolutionary Algorithms and Dialogue
Edited ByD.J. Nettleton, R. Garigliano
chapter Chapter 13|14 pages
Incorporating Redundancy and Gene Activation Mechanisms in Genetic search for adapting to Non-Stationarv Environments.
ByDipankar Dasgupta
chapter Chapter 14|16 pages
Input Space Segmentation with a Genetic Algorithm for Generation of Rule Based Classifier Systems
Edited BySaman K. Halgamuge, Manfred Glesner
