Kyu-Yeul Lee, Seong-Nam Han, Myung-Il Roh, "An Improved Genetic Algorithm for Facility Layout Problems Having Inner Structure Walls and Passages", Computers & Operations Research, Vol. 30, No. 1, pp. 117-138, 2003.01.01
| Abstract | This study proposes an improved genetic algorithm (GA) to derive solutions for facility layouts that are to have inner walls andpassages. The proposedalgorithm models the layout of facilities on gene structures. These gene structures consist of a four-segmentedchromosome. Improvedsolutions are producedby employing genetic operations known as selection, crossover, inversion, mutation, andre4nement of these genes for successive generations. All relationships between the facilities andpassages are representedas an adjacency graph. The shortest path andd istance between two facilities is calculatedusing Dijkstra’s algorithm of graph theory. Comparative testing shows that the proposedalgorithm performs better than other existing algorithms for the optimal facility layout design. Finally, the proposed algorithm is appliedto ship compartment layout problems with the computational results comparedwith an actual ship compartment layout. |
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| Publication Date | 2003-01-01 |
| Role | Coauthor |
| Category | SCIE |
Kyu-Yeul Lee, Seong-Nam Han, Myung-Il Roh, "An Improved Genetic Algorithm for Facility Layout Problems Having Inner Structure Walls and Passages", Computers & Operations Research, Vol. 30, No. 1, pp. 117-138, 2003.01.01