HIGHLIGHTS
- who: Based on Fuzzy Optimality et al. from the College of Electrical Information Engineering, Zhengzhou University of Light Industry, Henan, China have published the article: Multi-Objective Particle Swarm Optimization Based on Fuzzy Optimality, in the Journal: (JOURNAL)
- what: In this paper, a new optimality definition: fuzzy optimality (FO) is presented and the FO based multi-objective particle swarm optimization (FMOPSO) is proposed. In the experiments, HWFET, NEDC and JPN1015 driving cycle are utilized to evaluate the optimization results of the FMOPSO.
- how: For fair comparison the FMOPSO parameters used in the experiments . . .
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