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Optimization

  • Lee Jacobson
  • Burak Kanber

Abstract

In this chapter we will explore different techniques that are frequently used to optimize genetic algorithms. Additional optimization techniques become increasingly important as the problem being solved becomes more complex. A well-optimized algorithm can save hours or even days when solving larger problems; for this reason,optimization techniques are essential when the problem reaches a certain level of complexity.

Keywords

Genetic Algorithm Mutation Rate Fitness Function Hash Table Simulated Annealing Algorithm 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Lee Jacobson and Burak Kanber 2015

Authors and Affiliations

  • Lee Jacobson
    • 1
  • Burak Kanber
    • 1
  1. 1.New YorkUS

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