A revised imperialist competition algorithm for cellular manufacturing optimization based on product line design
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Publication:2083352
DOI10.3934/JIMO.2021175OpenAlexW3210725648MaRDI QIDQ2083352
Publication date: 10 October 2022
Published in: Journal of Industrial and Management Optimization (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.3934/jimo.2021175
product line designcell formationimperialist competitive algorithmcustomer preferencecellular manufacturing system
Evolutionary algorithms, genetic algorithms (computational aspects) (68W50) Management decision making, including multiple objectives (90B50) Production models (90B30)
Cites Work
- A hybrid PSO-GA algorithm for constrained optimization problems
- A pruning heuristic for use with multisource product design
- Solving a group layout design model of a dynamic cellular manufacturing system with alternative process routings, lot splitting and flexible reconfiguration by simulated annealing
- Fuzzy self-tuning differential evolution for optimal product line design
- A new multi-objective mathematical model for dynamic cell formation under demand and cost uncertainty considering social criteria
- A joint dynamic pricing and production model with asymmetric reference price effect
- Imperialist competitive algorithm for solving systems of nonlinear equations
- APPLYING SIMULATED ANNEALING TO A GENERALIZED CELL FORMATION PROBLEM CONSIDERING ALTERNATIVE ROUTINGS AND MACHINE RELIABILITY
- A genetic algorithm-based approach to cell composition and layout design problems
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