MATEC Web of Conferences
Volume 61, 2016The International Seminar on Applied Physics, Optoelectronics and Photonics (APOP 2016)
|Number of page(s)||3|
|Section||Chapter 2 Electronic Technology and Electrical Engineering|
|Published online||28 June 2016|
A Course Scheduling Algorithm Based on Self-Adaptive Constrained Particle Swarm*
Luzhou Vocational & Technical College, 646005 Luzhou, Sichuan, China
a Corresponding author: firstname.lastname@example.org
The automatic course scheduling in college is a complex constraint optimization problem. A kind of self-adaptive constraint particle swarm algorithm is proposed to avoid premature convergence of particle swarm optimization algorithm. A self-adaptive criterion is applied in different phases of algorithm execution to realize dynamic and adaptive switch between attractors and repellors during the algorithm’s running process, and inertia weight will change dynamically and adaptively with the number of iterations. The algorithm performance can be further improved with a higher convergence speed and stronger robustness.
© Owned by the authors, published by EDP Sciences, 2016
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