Mixed integer linear programming model and an effective algorithm for the bi-objective double-floor corridor allocation problem

DOI10.1016/j.cor.2021.105283OpenAlexW3139244325MaRDI QIDQ2668724

Silu Liu, Zeqiang Zhang, Chao Guan, Juhua Gong

Publication date: 7 March 2022

Published in: Computers \& Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cor.2021.105283

zbMATH Keywords

genetic algorithmmixed integer linear programmingvariable neighbourhood searchmulti-objective optimisationfacility layout design

Mathematics Subject Classification ID

Operations research and management science (90Bxx)

Cites Work

• A parallel ordering problem in facilities layout
• Solving the bi-objective corridor allocation problem using a permutation-based genetic algorithm
• The corridor allocation problem
• Single row facility layout problem using a permutation-based genetic algorithm
• Mathematical optimization approaches for facility layout problems: the state-of-the-art and future research directions
• Tabu search for the single row facility layout problem using exhaustive 2-opt and insertion neighborhoods
• The double row layout problem
• An improved genetic algorithm and its applications to the optimisation design of an aspirated compressor profile
• Simultaneously applying multiple mutation operators in genetic algorithms

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