HIGHLIGHTS
- who: Hao Tian et al. from the School of Information and Communication Engineering, Hubei University of Economics, Wuhan, China have published the Article: An electronic transition-based bare bones particle swarm optimization algorithm for high dimensional optimization problems, in the Journal: PLOS ONE of March/18,/2022
- what: The authors use particles to simulated the electronic transition behavior to solve high dimensional optimization problems.
- how: To test the extreme optimization capability of ETBBPSO experiments are conducted in 100-dimension max generation time is 1.00E+4 population size for all algorithms is 100 . . .
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