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- W2735657697 abstract "Migrating birds optimization (MBO) is a newly reported metaheuristic that has been proved effective in dealing with combinatorial optimization problems. In this paper, we propose an enhanced MBO (EMBO) to solve a lot-streaming flow shop scheduling problem with setup times, in which job-splitting and job scheduling are considered simultaneously. The objective is to minimize the makespan. In EMBO, a two-stage vector is employed to represent solutions in the swarm. Borrowing idea from artificial bee colony, a special neighbor structure is designed to create new candidates. Moreover, attempting to jump out of the local best, a new solution update scheme is introduced. Numerical tests are conducted and comparisons with other recent algorithms show the superiority of the proposed EMBO." @default.
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- W2735657697 date "2017-05-01" @default.
- W2735657697 modified "2023-09-25" @default.
- W2735657697 title "An enhanced migrating birds optimization for a lot-streaming flow shop scheduling problem" @default.
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- W2735657697 doi "https://doi.org/10.1109/ccdc.2017.7979325" @default.
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