Adaptive Spiral Optimization Algorithm for Benchmark Problems

Yıl 2016, Cilt: 3 Sayı: 1, 8 - 15, 01.07.2016

Uğur Yüzgeç Tufan İnaç

Öz

In this study, Spiral Optimization Algorithm (SOA) that is one of the heuristic algorithms was improved by the self-adaptive concept. Adaptive Spiral Optimization Algorithm (ASOA) includes the self-adaptive structure to adjust the spiral radius and spiral angle values that are the parameters of SOA during the optimization. Three different ASOA versions were proposed in this paper. To evaluate the performance of the ASOA's versions, five benchmark optimization problems were taken from the literature. The proposed ASOA versions are more successful than classic SOA according to the mean best value and NFE indicators.

Anahtar Kelimeler

Spiral Optimization, Self-Adaptive, Benchmark

Kaynakça

• [1] Goldberg, D. E., Genetic Algorithms in Search, Optimization and Machine Learning, Addison-Wesley, New York, 1989.
• [2] Michalewicz, Z., Genetic algorithms + Data structures = Evolution Programs, AI Series, SpringerVerlag, New York, 1994.
• [3] Yüzgeç, U., "Performance comparison of differential evolution techniques on optimization of feeding profile for an industrial scale baker's yeast fermentation process", ISA Transactions, vol. 49, pp.167-176, 2010.
• [4] Nasir, A. N. K., Tokhi, M. O., Sayidmarie, O., Raja Ismail, R. M. T., "A novel adaptive spiral dynamic algorithm for global optimization", 13th UK Workshop on Computational Intelligence, UKCI 2013, pp. 334–341,
• [5] Tamura, K., Yasuda, K., "Primary Study of Spiral Dynamics Inspired Optimization", IEEJ Transanctions on Electrical and Electronic Engineering, Vol.6, No.S1, pp.98-100, 2011.
• [6] Tamura, K., Yasuda, K., "Spiral Dynamics Inspired Optimization", JACIII J. Adv. Comput Intell Inform, Vol.15, No.8, pp.1116-1122, 2011.
• [7] Benasla, L., Belmadani, A., Rahli, M., "Spiral Optimization Algorithm for Solving Combined Economic and Emission Dispatch", Electrical Power and Energy Systems, Vol. 62, pp. 163-174, 2014.
• [8] Jamil, M., & Yang, X. S., "A literature survey of benchmark functions for global optimization problems", International Journal of Mathematical Modeling and Numerical Optimization, Vol.4, No.2, pp. 150-194, 2013.