Multi-objective collision search gets three fixes: IMOCCO tops 31 test functions and holds its edge on truss and brake design
Multi-objective optimization struggles to balance convergence and spread on irregular or disconnected Pareto fronts. IMOCCO adds manifold-feature collision, mass-restitution collision and angular-sparsity guidance to the centered-collision search, acting on the search operator, individual interaction and environmental selection. Across 31 standard test functions it holds a Friedman mean rank of 1.73, first among seven algorithms, and scores 2/0/0 on the Wilcoxon test for a four-bar truss and a disc brake.