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A Study of Normalized Population Diversity in Particle Swarm Optimization

Shi Cheng, Yuhui Shi, Quande Qin

Source Title: International Journal of Swarm Intelligence Research (IJSIR)4(1)

ISSN: 1947-9263|EISSN: 1947-9271|EISBN13: 9781466631083|DOI: 10.4018/jsir.2013010101

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MLA

Cheng, Shi, et al. "A Study of Normalized Population Diversity in Particle Swarm Optimization." IJSIR vol.4, no.1 2013: pp.1-34. http://doi.org/10.4018/jsir.2013010101

APA

Cheng, S., Shi, Y., & Qin, Q. (2013). A Study of Normalized Population Diversity in Particle Swarm Optimization. International Journal of Swarm Intelligence Research (IJSIR), 4(1), 1-34. http://doi.org/10.4018/jsir.2013010101

Chicago

Cheng, Shi, Yuhui Shi, and Quande Qin. "A Study of Normalized Population Diversity in Particle Swarm Optimization," International Journal of Swarm Intelligence Research (IJSIR) 4, no.1: 1-34. http://doi.org/10.4018/jsir.2013010101

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Abstract

The values and velocities of a Particle swarm optimization (PSO) algorithm can be recorded as series of matrix and its population diversity can be considered as an observation of the distribution of matrix elements. Each dimension is measured separately in the dimension-wise diversity, on the contrary, the element-wise diversity measures all dimension together. In this paper, PSO algorithm is first represented in the matrix format, then based on the analysis of the relationship between pairs of vectors in PSO solution matrix, different normalization strategies are utilized for dimension-wise and element-wise population diversity, respectively. Experiments on benchmark functions are conducted. Based on the simulation results of ten benchmark functions (include unimodal/multimodal function, separable/non-separable function), the properties of normalized population diversities are analyzed and discussed.

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A Study of Normalized Population Diversity in Particle Swarm Optimization

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