Multi-Objective Social Group Optimization with Dynamic Fitness Function and Crowding Distance Elimination
Experimental results show that the proposed MOSGO provides, in most problems, significantly better convergence near the true Pareto front, with improved diversity and spread of solutions, compared to other multi-objective algorithms.