Multi-objective chaos game optimization for constrained structural design using chaos-inspired search dynamics
This study introduces Multi-Objective Chaos Game Optimization (MOCGO), a metaheuristic algorithm developed for the purpose of handling multi-objective structural optimization problems with constraints that performs significantly better than other algorithms, including NSGA-II, MOGOA, MOALO, and MOAVOA.