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

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 ...