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five phases algorithm: A Novel Meta-heuristic algorithm and Its Application on Economic Load Dispatch Problem

JOURNAL OF INTERNET TECHNOLOGY 2023年第4期24卷 837-848页

作者： Wang, Xiaopeng Chu, Shu-Chuan Snasel, Vaclav Shehadeh, Hisham A. Pan, Jeng-Shyang Shandong Univ Sci & Technol Coll Comp Sci & Engn Qingdao Peoples R China VSB Tech Univ Ostrava Fac Elect Engn & Comp Sci Ostrava Czech Republic Amman Arab Univ Dept Comp Informat Syst & Technol & Comp Sci Amman Jordan Chaoyang Univ Technol Dept Informat Management Taichung Taiwan

A new meta-heuristic algorithm named the five phases algorithm (FPA) is presented in this paper. The proposed method is inspired by the five phases theory in traditional Chinese thought. FPA updates agents based on the generating and overcoming strategy as well as learning strategy from the agent with the same label. FPA has a simple structure but excellent performance. It also does not have any predefined control parameters, only two general parameters including population size and terminal condition are required. This provides flexibility to users to solve different optimization problems. For global optimization, 10 test functions from the CEC2019 test suite are used to evaluate the performance of FPA. The experimental results confirm that FPA is better than the 6 state-of-the-art algorithms including particle swarm optimization (PSO), grey wolf optimizer (GWO), multi-verse optimizer (MVO), differential evolution (DE), backtracking search algorithm (BSA), and slime mould algorithm (SMA). Furthermore, FPA is applied to solve the Economic Load Dispatch (ELD) from the real power system problem. The experiments give that the minimum cost of power system operation obtained by the proposed FPA is more competitive than the 14 counterparts. The source codes of this algorithm can be found in https://***/matlabcentral/ fileexchange/118215-five-phases-algorithm-fpa.

关键词： Meta-heuristic algorithm Optimization problem five phases algorithm Economic load dispatch

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five phases algorithm for Global Optimization 1

引用

17th International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP) / 14th International Conference on Frontiers of Information Technology, Applications and Tools (FITAT)

作者： Wang, Xiaopeng Chu, Shu-Chuan Pan, Jeng-Shyang Shandong Univ Sci & Technol Coll Comp Sci & Engn Qingdao 266590 Peoples R China

ISBN: (数字)9789811910579

ISBN: (纸本)9789811910579;9789811910562

In this work, a novel meta-heuristic algorithm named five phases algorithm (FPA) is proposed. FPA is inspired by five phases (wood, fire, earth, metal, water) scheme in traditional Chinese thought. FPA maintains a balance between exploitation and exploration in search space, which is modelled based on the generating and overcoming strategy of five phases and learning strategy from the agent with the same label. FPA has a simple structure but excellent performance. It also does not have any predefined control parameters, only two common parameters are required: population size and terminal condition. This provides flexibility to users to solve different optimization problems. The comprehensive performance of FPA is evaluated on the CEC2013 and CEC2017 test suites. The solutions obtained by FPA are compared with 5 state-of-the-art meta-heuristic algorithms including particle swarm optimization (PSO), grey wolf optimizer (GWO), multi-verse optimizer (MVO), sine cosine algorithm (SCA) and slime mould algorithm (SMA). The experimental results confirm that the proposed FPA is highly competitive compared to the counterparts.

关键词： Benchmark functions five phases algorithm Meta-heuristic algorithm Optimization problems

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