Genetic Algorithms in Search, Optimization, and Machine...

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Genetic Algorithms in Search, Optimization, and Machine Learning

David E. Goldberg

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This book describes the theory, operation, and application of genetic algorithms-search algorithms based on the mechanics of natural selection and genetics.

درجه (قاطیغوری(:

Computers - Computer Science

کال:

1989

خپرونه:

1

خپرندویه اداره:

Addison-Wesley Professional

ژبه:

english

صفحه:

432

ISBN 10:

0201157675

ISBN 13:

9780201157673

فایل:

PDF, 46.17 MB

IPFS:

,

english, 1989

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ممکن تاسی علاقمند شی

Mitsuo Gen, Runwei Cheng — Genetic Algorithms and Engineering Optimization (Engineering Design and Automation)

Michael Affenzeller, Stephan Winkler, Stefan Wagner, Andreas Beham — Genetic Algorithms and Genetic Programming: Modern Concepts and Practical Applications

Shukla, Dr. Brahma Datta; Shukla, Dr. Brahma Datta; Tomar, Ms. Pragya Singh — Machine Learning & Genetic Algorithms

Peter Leow — Genetic Algorithms Demystified: Unravel the Myths and Power of Genetic Algorithms in Machine Learning

Peter Leow — Genetic Algorithms Demystified

Clinton Sheppard — Genetic Algorithms with Python

Cao Y.J., Wu Q.H. — Teaching genetic algorithm using MATLAB

— Genetic Algorithms. Introduction To Genetic Algorithms For Scientists And Engineers

David E.Goldberg — Genetic Algorithms in Search, Optimization & Machine Learning

Frederick S. Hillier, Gerald J. Lieberman — Introduction to operations research

George J. Klir, Bo Yuan — Fuzzy Sets and Fuzzy Logic: Theory and Applications

Jyh-Shing Roger Jang, Chuen-Tsai Sun, Eiji Mizutani — Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence

Simon Haykin — Neural Networks: A Comprehensive Foundation

Thomas Bäck — Evolutionary Algorithms in Theory and Practice: Evolution Strategies, Evolutionary Programming, Genetic Algorithms

Eric Bonabeau, Marco Dorigo, Guy Theraulaz — Swarm Intelligence: From Natural to Artificial Systems

David E. Goldberg — Genetic Algorithms in Search, Optimization, and Machine Learning

Ethem Alpaydin — Introduction to Machine Learning, Second Edition (Adaptive Computation and Machine Learning)

Suvrit Sra, Sebastian Nowozin, Stephen J. Wright — Optimization for Machine Learning (Neural Information Processing series)

Mykel J. Kochenderfer, Tim A. Wheeler — Algorithms for Optimization

Kenneth A. De Jong — Evolutionary computation: a unified approach

Marco Dorigo, Thomas StÃ¼tzle — Ant Colony Optimization

John R. Koza — Genetic programming: on the programming of computers by means of natural selection

Melanie Mitchell — An Introduction to Genetic Algorithms

Michael D Vose — The Simple Genetic Algorithm - foundations and theory

John H. Holland — Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence

Tetsuya Higuchi, Xin Yao — Evolvable Hardware

Germain Chartier — Introduction to Genetic Algorithms

El-Ghazali Talbi — Metaheuristics: from design to implementation

Hojjat Adeli, Kamal Sarma — Cost Optimization of Structures: Fuzzy Logic, Genetic Algorithms, and Parallel Computing

Dan Simon — Evolutionary Optimization Algorithms

Randy L. Haupt, Sue Ellen Haupt — Practical Genetic Algorithms

Randy L. Haupt, Douglas H. Werner — Genetic Algorithms in Electromagnetics

Kalyanmoy Deb — Multi-Objective Optimization Using Evolutionary Algorithms

Christos H. Papadimitriou, Kenneth Steiglitz — Combinatorial Optimization: Algorithms and Complexity

Sean Luke — Essentials of Metaheuristics

Thomas Back, D.B Fogel, Z Michalewicz — Evolutionary computation: basic algorithms and operators

Lance Chambers — Practical Handbook of Genetic Algorithms: Volume 2: New Frontiers

Steven L. Tanimoto — Elements of Artificial Intelligence: An Introduction Using Lisp

Labadie, Nacima; Prins, Christian; Prodhon, Caroline — Metaheuristics for vehicle routing problems

Lance D. Chambers — The practical handbook of genetic algorithms: applications

Anirban DasGupta — Probability for Statistics and Machine Learning: Fundamentals and Advanced Topics

Jason Brownlee — Clever Algorithms: Nature-Inspired Programming Recipes

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