Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Parameter Selection in Particle Swarm Optimization
EP '98 Proceedings of the 7th International Conference on Evolutionary Programming VII
Comparison between Genetic Algorithms and Particle Swarm Optimization
EP '98 Proceedings of the 7th International Conference on Evolutionary Programming VII
Computers and Operations Research
Batching orders in warehouses by minimizing travel distance with genetic algorithms
Computers in Industry - Special issue: Application of genetics algorithms in industry
An effective hybrid optimization approach for multi-objective flexible job-shop scheduling problems
Computers and Industrial Engineering
Multiple crossdocks with inventory and time windows
Computers and Operations Research
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I
Selective regenerated particle swarm optimization for multimodal function
ACS'08 Proceedings of the 8th conference on Applied computer scince
A particle swarm with selective particle regeneration for multimodal functions
WSEAS Transactions on Information Science and Applications
Expert Systems with Applications: An International Journal
Particle swarm optimization with selective particle regeneration for data clustering
Expert Systems with Applications: An International Journal
Vehicle routing problem with uncertain demands: An advanced particle swarm algorithm
Computers and Industrial Engineering
Solving the bi-objective personnel assignment problem using particle swarm optimization
Applied Soft Computing
Parallel-machine scheduling to minimize tardiness penalty and power cost
Computers and Industrial Engineering
Computers & Mathematics with Applications
Efficient metaheuristics for pick and place robotic systems optimization
Journal of Intelligent Manufacturing
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Warehouse operation and management is one of the essential parts of manufacturing and service operations. The warehouse layout problem is a key to warehouse operations. Generally, warehouse layout design models attempt to optimize different objectives such as the orientation of storage racks, the allocation of space among competing uses, the number of cranes, the overall configuration of the facility, etc. The warehousing strategies can be classified as distribution-type, production-type and contract-type warehouse strategies. In this study, a distribution-type warehouse considered that various type products are collected from different suppliers for storing in the warehouse for a determined period and for delivery to different customers. The aim of the study is to design a multiple-level warehouse shelf configuration which minimizes the annual carrying costs. The turnover rates of the products are classified and they are considered while putting/picking them to/from shelves regarding the distances between the shelves and docks. Since proposed mathematical model was shown to be NP-hard, a particle swarm optimization algorithm (PSO) as a novel heuristic was developed for determining the optimal layout.