Research Article

Effect of the Chaotic Crossover Operator on Breeding Swarms Algorithm

Volume: 4 Number: 1 April 30, 2021
EN

Effect of the Chaotic Crossover Operator on Breeding Swarms Algorithm

Abstract

In this paper we present effect of the chaotic crossover operator with different chaotic maps on the metaheuristic search algorithm Breeding Swarms algorithm which is the Particle Swarm Optimization’s one of the genetic algorithm hybrid form. Some of the many optimization problems could have too many local extrema. Most of the time optimization algorithms could stuck on these extrema therefore these algorithms could have trouble with finding global extremum. To avoiding local extrema and conduct better search on search space, a chaotic number generator is used on Breeding Swarms algorithm’s most of the random procedures. To test efficiency and randomness of the chaotic crossover operator, different chaotic maps are used on the Breeding Swarm algorithm. Test and performance evaluations are conducted on Multimodal and unimodal benchmark functions. This new approach showed us that modified Breeding Swarms algorithm yielded slightly better results than Particle Swarm Optimization and original Breeding Swarms algorithms on tested benchmark functions.

Keywords

References

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Details

Primary Language

English

Subjects

Artificial Intelligence

Journal Section

Research Article

Publication Date

April 30, 2021

Submission Date

September 18, 2020

Acceptance Date

March 12, 2021

Published in Issue

Year 1970 Volume: 4 Number: 1

APA
Demirci, H., & Yurtay, N. (2021). Effect of the Chaotic Crossover Operator on Breeding Swarms Algorithm. Sakarya University Journal of Computer and Information Sciences, 4(1), 120-130. https://doi.org/10.35377/saucis.04.01.796903
AMA
1.Demirci H, Yurtay N. Effect of the Chaotic Crossover Operator on Breeding Swarms Algorithm. SAUCIS. 2021;4(1):120-130. doi:10.35377/saucis.04.01.796903
Chicago
Demirci, Hüseyin, and Nilüfer Yurtay. 2021. “Effect of the Chaotic Crossover Operator on Breeding Swarms Algorithm”. Sakarya University Journal of Computer and Information Sciences 4 (1): 120-30. https://doi.org/10.35377/saucis.04.01.796903.
EndNote
Demirci H, Yurtay N (April 1, 2021) Effect of the Chaotic Crossover Operator on Breeding Swarms Algorithm. Sakarya University Journal of Computer and Information Sciences 4 1 120–130.
IEEE
[1]H. Demirci and N. Yurtay, “Effect of the Chaotic Crossover Operator on Breeding Swarms Algorithm”, SAUCIS, vol. 4, no. 1, pp. 120–130, Apr. 2021, doi: 10.35377/saucis.04.01.796903.
ISNAD
Demirci, Hüseyin - Yurtay, Nilüfer. “Effect of the Chaotic Crossover Operator on Breeding Swarms Algorithm”. Sakarya University Journal of Computer and Information Sciences 4/1 (April 1, 2021): 120-130. https://doi.org/10.35377/saucis.04.01.796903.
JAMA
1.Demirci H, Yurtay N. Effect of the Chaotic Crossover Operator on Breeding Swarms Algorithm. SAUCIS. 2021;4:120–130.
MLA
Demirci, Hüseyin, and Nilüfer Yurtay. “Effect of the Chaotic Crossover Operator on Breeding Swarms Algorithm”. Sakarya University Journal of Computer and Information Sciences, vol. 4, no. 1, Apr. 2021, pp. 120-3, doi:10.35377/saucis.04.01.796903.
Vancouver
1.Hüseyin Demirci, Nilüfer Yurtay. Effect of the Chaotic Crossover Operator on Breeding Swarms Algorithm. SAUCIS. 2021 Apr. 1;4(1):120-3. doi:10.35377/saucis.04.01.796903

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