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A genetic algorithm for optimal unequal-area block layout design
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DOI：10.1080/00207540903130868.png)
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Abstract
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The use of a genetic algorithm (GA) to optimise the binary variables in a mixed-integer linear programming model for the block layout design problem with unequal areas that satisfies area requirements is analysed. The performance of a GA is improved using a local search through the possible binary variables assignment; results encourage the use of this technique to find a set of feasible solutions for the block layout design with more than nine departments.
Keywords:
genetic algorithms
meta-heuristics
facility design
evolutionary computation
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