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Traditional Methods — Part 1

  • Zbigniew Michalewicz
  • David B. Fogel
Chapter

Abstract

There are many classic algorithms that are designed to search spaces for an optimum solution. In fact, there are so many algorithms that it’s natural to wonder why there’s such a plethora of choices. The sad answer is that none of these traditional methods is robust. Every time the problem changes you have to change the algorithm. This is one of the primary shortcomings of the well-established optimization techniques. There’s a method for every problem the problem is that most people only know one method, or maybe a few. So they often get stuck using the wrong tool to attack their problems and consequently generate poor results.

Keywords

Evaluation Function Search Space Local Search Exhaustive Search Current Solution 
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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Zbigniew Michalewicz
    • 1
  • David B. Fogel
    • 2
  1. 1.Department of Computer ScienceUniversity of North CarolinaCharlotteUSA
  2. 2.Natural Selection, Inc.La JollaUSA

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