Global Optimization Algorithms Theory and Application

Category: Technical

Tag: Programming


Posted on 2009-09-15. By anonymous.

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Global Optimization Algorithms Theory and Application
Publisher: Thomas Weise | ISBN: N\A | edition 2008 | PDF | 820 pages | 12,61 mb

This book is about global optimization algorithms, which are methods to find optimal solutions for given problems. It especially focuses on evolutionary computation by discussing evolutionary algorithms, genetic algorithms, genetic programming, learning classifier systems, evolution strategy, differential evolution, particle swarm optimization, and ant colony optimization. The book also elaborates on other meta-heuristics, such as simulated annealing, hill climbing, tabu search, and random optimization.



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