Island bat algorithm for optimization
作者：
Highlights：
• This paper proposes island bat algorithm (iBA) for optimization problems.
• iBA is evaluated using IEEE-CEC2005 functions of different types and complexity.
• Experimental results suggest that iBA is not highly sensitive to its parameters.
• Comparative evaluation shows the superiority of iBA over 17 comparative methods.
• iBA is utilized for Economic Load Dispatch as a real-world application.
摘要
•This paper proposes island bat algorithm (iBA) for optimization problems.•iBA is evaluated using IEEE-CEC2005 functions of different types and complexity.•Experimental results suggest that iBA is not highly sensitive to its parameters.•Comparative evaluation shows the superiority of iBA over 17 comparative methods.•iBA is utilized for Economic Load Dispatch as a real-world application.
论文关键词：Bat-inspired algorithm,Island model,Structured population,Diversity,Global optimization,Economic load dispatch
论文评审过程：Received 30 September 2017, Revised 30 March 2018, Accepted 21 April 2018, Available online 23 April 2018, Version of Record 1 May 2018.
论文官网地址：https://doi.org/10.1016/j.eswa.2018.04.024
