期刊
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
卷 87, 期 -, 页码 -出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.engappai.2019.103330
关键词
Barnacles Optimization Algorithm; Benchmarked functions; Loss minimization; Meta-heuristic technique; Optimal reactive power dispatch
类别
资金
- Ministry of Higher Education Malaysia
- Universiti Malaysia Pahang under Fundamental Research Grant Scheme Grant [FRGS/1/2017/ICT02/UMP/02/3, RDU170105]
This paper presents a novel bio-inspired optimization algorithm namely the Barnacles Mating Optimizer (BMO) algorithm to solve optimization problems. The proposed algorithm mimics the mating behaviour of barnacles in nature for solving optimization problems. The BMO is first benchmarked on a set of 23 mathematical functions to test the characteristics of BMO in finding the optimal solutions. It is then applied to optimal reactive power dispatch (ORPD) problem to verify the reliability and efficiency of BMO. Extensive comparative studies with other algorithms are conducted and from the simulation results, it is observed that BMO generally provides better results and exhibits huge potential of BMO in solving real optimization problems.
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