Article ID Journal Published Year Pages File Type
7428132 Transportation Research Part E: Logistics and Transportation Review 2014 22 Pages PDF
Abstract
We propose an efficient evolutionary multi-objective optimization approach to the capacitated facility location-allocation problem (CFLP) for solving large instances that considers flexibility at the allocation level, where financial costs and CO2 emissions are considered simultaneously. Our approach utilizes suitably adapted Lagrangian Relaxation models for dealing with costs and CO2 emissions at the allocation level, within a multi-objective evolutionary framework at the location level. Thus our method assesses the robustness of each location solution with respect to our two objectives for customer allocation. We extend our exploration of selected solutions by considering a range of trade-offs for customer allocation.
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Social Sciences and Humanities Business, Management and Accounting Business and International Management
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