Evolutionary optimization
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Evolutionary Optimization in MPS: A Brief Review
Abstract: Master production scheduling (MPS) is a combinatorial optimization problem that arises frequently in real-life applications. Because of the complexity and the vast search space, conventional optimization methods such as mathematical programming, dynamic programming and branch-and-bound technique are computationally infeasible. Evolutionary approach-based meta-heuristics have gained prominence in recent years for solving multi-objective optimization problems (MOP). Multi-objective evolutionary approaches (MOEAs) have substantial success across a variety of real-world engineering applications. The present …
Published in Journal of Production Research & Management · Vol. 4, Issue 1, 2014 · pp. 13–21 Read article