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Symbiotic tabu search

Published: 07 July 2007 Publication History

Abstract

Recombination in the Genetic Algorithm (GA) is supposed to extract the component characteristics from two parents and reassemble them in different combinations hopefully producing an offspring that has the good characteristics of both parents. Symbiotic Combination is formerly introduced as an alternative for sexual recombination operator to overcome the need of explicit design of recombination operators in GA all. This paper presents an optimization algorithm based on using this operator in Tabu Search. The algorithm is benchmarked on two problem sets and is compared with standard genetic algorithm and symbiotic evolutionary adaptation model, showing success rates higher than both cited algorithms.

References

[1]
Watson, R.A., Pollack, J.B. Symbiotic Combination as an Alternative to Sexual Recombination in Genetic Algorithms, Proceedings of Parallel Problem Solving from Nature (PPSN VI), 2000.
[2]
Eiben, A.E., RauéP.E. and Ruttkay, Z. GA--easy and GA-hard Constraint Satisfaction Problems. Constraint Processing, Ed. Manfred Meyer, Springer-Verlag LNCS 923, 1995, 267--283.

Cited By

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  • (2007)Evolving fuzzy classifiers using a symbiotic approach2007 IEEE Congress on Evolutionary Computation10.1109/CEC.2007.4424664(1601-1607)Online publication date: Sep-2007

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Published In

cover image ACM Conferences
GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation
July 2007
2313 pages
ISBN:9781595936974
DOI:10.1145/1276958

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 July 2007

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Author Tags

  1. genetic algorithms
  2. linkage problem
  3. optimization
  4. symbiogenesis
  5. tabu search

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GECCO '07 Paper Acceptance Rate 266 of 577 submissions, 46%;
Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

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  • (2007)Evolving fuzzy classifiers using a symbiotic approach2007 IEEE Congress on Evolutionary Computation10.1109/CEC.2007.4424664(1601-1607)Online publication date: Sep-2007

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