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
- Q. Liu, X. Li, H. Liu and Z. Guo, “Multi-objective metaheuristics for discrete optimization problems: A review of the state-of-the-art,” Appl Soft Comput., vol. 93, 2020.
- J. Kennedy and R.C. Eberhart, “Particle Swarm Optimization,” IEEE Int. Conf. Neural Networks, pp. 1942-1948, 1995.
- W. Yanmin, “Optimization of Wireless Sensor Network for Dairy Cow Breeding Based on Particle Swarm Optimization,” Int. Conf. Intell. Trans. Big Data & Smart City (ICITBS), pp. 524-527, 2020.
- Y. Özger, M. Akpinar, Z. Musayev and M. Yaz, “Electrical Load Forecasting Using Genetic Algorithm Based Holt-Winters Exponential Smoothing Method,” Sakarya University Journal of Computer and Information Sciences., vol. 3, no. 2, pp.108-123, 2019.
- M. Settles and T. Soule, “Breeding swarms: a GA/PSO hybrid,” ACM Conf. Genetic and Evol. Comput. (GECCO ‘05), pp. 161-168, 2005.
- H. R. Vanamala and D. Nandur, “Genetic Algorithm and Chaotic Maps based Visually Meaningful Image Encryption,” TENCON 2019 - 2019 IEEE Region 10 Conf. (TENCON), pp. 892-896, 2019.
- R.C. Eberhart and Y. Shi, “Comparing inertia weights and constriction factors in particle swarm optimization,” IEEE Congr. Evol. Comput., pp. 84-88, 2000.
- R. Eberhart and Y. Shi, “A Modified Particle Swarm Optimizer,” IEEE World Cong. Comput. Intel., pp. 69-73, 1998.
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
Cited By
Performance Analysis of Chaotic Neural Network and Chaotic Cat Map Based Image Encryption
Sakarya University Journal of Computer and Information Sciences
https://doi.org/10.35377/saucis...1002582
