Multi-Objective Optimization in Theory and Practice is a simplified two-part approach to multi-objective optimization (MOO) problems. This second part focuses on the use of metaheuristic algorithms in ...

General approach for combining modular metaheuristic software frameworks and automatic configuration tools. To discourage the inefficient manual invention and configuration of new metaheuristic ...