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Ant Colony Search, Advanced Engineered-Conditioning Genetic Algorithms and Fuzzy Logic Controlled Genetic Algorithms: Economic Dispatch Problems

  • Y. H. Song
  • C. S. V. Chou
  • I. K. Yu
  • G. S. Wang
Chapter
Part of the International Series on Microprocessor-Based and Intelligent Systems Engineering book series (ISCA, volume 20)

Abstract

Various novel search algorithms have been proposed in recent years, some of which have been described in some details in the previous chapters. This chapter is to present some newly developed techniques in the areas of natural phenomena inspired algorithms and hybridisations. The three algorithms described are: ant colony search [1,2], advanced engineered-conditioning genetic algorithm [3] and fuzzy logic controlled genetic algorithms [4]. Some test results on economic dispatch problems have also been given.

Keywords

Genetic Algorithm Fuzzy Controller Fuzzy Logic Controller Cost Curve Load Demand 
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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References

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Copyright information

© Springer Science+Business Media Dordrecht 1999

Authors and Affiliations

  • Y. H. Song
    • 1
  • C. S. V. Chou
    • 1
  • I. K. Yu
    • 1
  • G. S. Wang
    • 1
  1. 1.Department of Electrical Engineering and ElectronicsBrunel UniversityUxbridgeUK

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