A genetic algorithm approach to the machine-component grouping problem with multiple objectives
Computers and Industrial Engineering
A study of genetic crossover operations on the facilities layout problem
Computers and Industrial Engineering
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Towards measuring the effectiveness of a facilities layout
Robotics and Computer-Integrated Manufacturing
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Parameter setting for clonal selection algorithm in facility layout problems
ICCSA'07 Proceedings of the 2007 international conference on Computational science and its applications - Volume Part I
A hybrid approach for dynamic routing planning in an automated assembly shop
Robotics and Computer-Integrated Manufacturing
Solving of Floor Layout Problem in Flexible Manufacturing System by Genetic Algorithms
International Journal of Advanced Intelligence Paradigms
Computers and Industrial Engineering
Computers and Industrial Engineering
Design of robust layout for Dynamic Plant Layout Problems
Computers and Industrial Engineering
Computers and Industrial Engineering
A genetic algorithm with the heuristic procedure to solve the multi-line layout problem
Computers and Industrial Engineering
Engineering Applications of Artificial Intelligence
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This paper describes a genetic algorithm (GA) to solve the problem of optimal facilities layout in manufacturing systems design so that material-handling costs are minimized. The paper considers the various material flow patterns of manufacturing environments of flow shop layout, flow-line layout (single line) with multi-products, multi-line layout, semi-circular and loop layout. The effectiveness of the GA approach is evaluated with numerical examples. The cost performance is compared with other approaches. The results show the effectiveness of the GA approach as a tool to solve problems in facilities layout.