Dynamic particle swarm optimizer with escaping prey for solving constrained non-convex and piecewise optimization problems
作者：
Highlights：
• A novel optimization algorithm is proposed for global optimization.
• A heuristic repair mechanism is developed to handle complex constraints.
• Constrained non-convex and piecewise function and real-world problem are studied.
• The proposed algorithm is compared with other recently developed algorithms.
• The effectiveness of the proposed algorithm and the repair mechanism are tested.
摘要
•A novel optimization algorithm is proposed for global optimization.•A heuristic repair mechanism is developed to handle complex constraints.•Constrained non-convex and piecewise function and real-world problem are studied.•The proposed algorithm is compared with other recently developed algorithms.•The effectiveness of the proposed algorithm and the repair mechanism are tested.
论文关键词：Escaping prey,Economic dispatch,Non-convex,Piecewise,Particle swarm optimizer
论文评审过程：Received 10 November 2016, Revised 17 May 2017, Accepted 18 May 2017, Available online 19 May 2017, Version of Record 30 June 2017.
论文官网地址：https://doi.org/10.1016/j.eswa.2017.05.047
