An Elite Particle Swarm Optimization Algorithm Based On Quadratic Approximations For High-Dimension Bilevel Single Objective Programming Problems
Journal Title: International Journal of Engineering and Science Invention - Year 2018, Vol 7, Issue 5
Abstract
Bilevel programming problem (BLP) is a nested optimization problem that contains one optimization task as a constraint to another optimization task. However, current existing algorithms for BLP often need enormous computational expense, which limit these algorithms to solve BLP only with smaller number of variables. In this paper, an elite particle swarm optimization based on quadratic approximations (PSO-QA) is proposed for solving the BLP, in which the elite strategy can efficiently prevent the premature convergence of the swarm and the quadratic approximations technology can further accelerate the convergence speed. Finally, we use the unconstrained test problems to measure and evaluate the proposed algorithm. The results suggest that the proposed algorithm can reduce the computational expense and improved the convergence speed.
Authors and Affiliations
Tao Zhang
Keywords
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- EP ID EP397072
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