Optimization of University Course Scheduling Problem using Particle Swarm Optimization with Selective Search

作者：

Highlights：

• Novel PSO based method for highly constrained University Course Scheduling.

• Swap sequence, selective search and force mechanism introduced for velocity operation.

• Proposed method outperformed prominent meta-heuristic methods for real-life scenario.

摘要

•Novel PSO based method for highly constrained University Course Scheduling.•Swap sequence, selective search and force mechanism introduced for velocity operation.•Proposed method outperformed prominent meta-heuristic methods for real-life scenario.

论文关键词：University Course Scheduling,Particle Swarm Optimization,Selective search,Forceful swap operation,Swap operator,Repair mechanism

论文评审过程：Received 24 July 2018, Revised 18 February 2019, Accepted 19 February 2019, Available online 21 February 2019, Version of Record 7 March 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.02.026