A new search via probability algorithm for single-objective optimization problems

Nguyen Huu Thong

Tóm tắt


This paper proposes a new stochastic algorithm, Search Via Probability (SVP) algorithm, for single-objective optimization problems. The SVP algorithm uses probabilities to control a process of searching for optimal solutions. We calculate probabilities of an appearance of a better solution than the current one on each iteration, and on the performance of SVP algorithm we create good conditions for its appearance.

Từ khóa


numerical optimization, stochastic, random, probability, algorithm

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DOI: https://doi.org/10.54607/hcmue.js.0.43.1057(2013)

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