this paper explores the capabilities of multi-objective particle swarm optimization algorithmin a simulation-optimization model for solving waste load allocation problems. the main goals are totaltreatment costs, violation of the water quality standards and equity. in this research, the water qualitysimulation model is coupled with a multi-objective optimization model, mopso. in order to derive...

Single-objective to multi-objective/many-objective optimization (SMO) is a new paradigm in the evolutionary transfer (ETO), since there are only “1 + 4” pioneering works on SMOs so far, that is, “1” continuous and firstly performed by Professors L. Feng H.D. Wang, “4” proposed our group for discrete cases. As computational paradigm, theoretical insights into relatively rare now. Therefore, we p...