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- W2573102110 abstract "This chapter discusses how to modify biogeography-based optimization (BBO) for multi-objective optimization problems (MOPs). It provides some notation and concepts that often occur in MOPs and shows how one can combine BBO with some well-known multi-objective evolutionary algorithm (MOEA) approaches. The combination of BBO with various MOEA approaches results in several multi-objective BBO (MOBBO) algorithms. The chapter presents an application of MOBBO to an automatic warehouse scheduling problem. The time and cost of product allocation and delivery are important variables to consider during warehouse scheduling. Warehouse scheduling is a typical NP-hard problem, which is one of the most challenging types of combinatorial optimization problems. Since this problem is so important for production supply chain success, more research needs to be conducted to make automated warehouse scheduling more robust and efficient. The chapter provides references to additional resources and suggests several important topics for future MOBBO research." @default.
- W2573102110 created "2017-01-26" @default.
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- W2573102110 date "2017-01-14" @default.
- W2573102110 modified "2023-09-26" @default.
- W2573102110 title "Multi‐objective BBO" @default.
- W2573102110 doi "https://doi.org/10.1002/9781119136507.ch11" @default.
- W2573102110 hasPublicationYear "2017" @default.
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