Tạp chí Khoa học, S. 33 (2012)

Cỡ chữ:  Nhỏ  Vừa  Lớn

A probability-driven search algorithm for solving multi-objective optimization problems

Nguyen Huu Thong, Tran Van Hao

Tóm tắt


This paper proposes a new probabilistic algorithm for solving multi-objective optimization problems - Probability-Driven Search Algorithm. The algorithm uses probabilities to control the process in search of Pareto optimal solutions. Especially, we use the absorbing Markov Chain to argue the convergence of the algorithm. We test this approach by implementing the algorithm on some benchmark multi-objective optimization problems, and find very good and stable results.


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Tạp chí của Trường Đại học Sư phạm Thành phố Hồ Chí Minh ; ISSN: 1859 -3100