Multi-objective casting production scheduling problem by a neighborhood structure enhanced discrete NSGA-II: an application from real-world workshop

Casting production scheduling problem has attracted increasing research attention in recent years to facilitate the profits, efficiency, and environment issues of casting industry. is often characterized by properties intensive energy consumption complex process routes, which motivate in-depth investigation on construction practical multi-objective models development effective algorithms. In this paper, for first time, (MOCPSP) constructed simultaneously minimize objectives defective rate, makespan, total consumption. Moreover, a neighborhood structure enhanced discrete NSGA-II (N-NSGA-II) designed better cope with proposed MOCPSP. N-NSGA-II, advantage selection mechanism fully utilized selecting non-dominate solution, three structures are elaborately strengthen ability local search, novel solution generating approach increase diversity solutions global search. Finally, real-world case illustrated evaluate performance N-NSGA-II. Computational results show that N-NSGA-II obtains wider range non-dominated quality compared other well-known