GENETIC APPROACHES FOR THE UNEQUAL AREA FACILITY LAYOUT PROBLEM Directores (original) (raw)
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An Evolutionay Algorithm for the Unequal Area Facility Layout Problem
A genetic algorithm (GA) for designing plant layouts in industries with unequal area facilities taking into consideration materials handling costs, logical relations between spaces and the shape of each area is presented. The GA utilizes a new encoding representation for these problems. Specific software has been developed to allow users to introduce data and graphically represent proposed solutions in a simple and user-friendly manner. The algorithm has been tested and the obtained results have been compared with those reported in the bibliography.
Modified genetic algorithm for automated facility layout design
International Journal of Advance Research, Ideas and Innovations in Technology, 2019
The placement of facilities is a fundamental task in many industries, and the facility layout problem is frequently encountered. This paper describes the implementation of a modified genetic algorithm for solving the facility layout problem by minimizing the total material handling the cost. An isomer-based elitism is applied and the performance of the proposed algorithm is compared with previous results in the literature. An extended method for measuring the efficiency of the algorithm is proposed. The results suggest that the efficiency of the proposed methodology is competitive with prior work and that isomer-based elitism should be reviewed for application in a wider range of problems.
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