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Technical Global Optimization Algorithms: Theory and Application

Posted on 2010-04-05




Name:Technical Global Optimization Algorithms: Theory and Application
Language:English
Pages:842
File size:2 Mb
  

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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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