A real-world scheduling problem using genetic algorithms
ICC&IE '94 Proceedings of the 17th international conference on Computers and industrial engineering
A solution to the facility layout problem using simulated annealing
Computers in Industry - Special issue: ASI'96: life cycle approaches to production systems: management, control and supervision
Finding Multimodal Solutions Using Restricted Tournament Selection
Proceedings of the 6th International Conference on Genetic Algorithms
Muiltiobjective optimization using nondominated sorting in genetic algorithms
Evolutionary Computation
An overview of evolutionary algorithms in multiobjective optimization
Evolutionary Computation
Expert Systems with Applications: An International Journal
Multiobjective evolutionary algorithms: a comparative case studyand the strength Pareto approach
IEEE Transactions on Evolutionary Computation
A new mixed integer programming formulation for facility layout design using flexible bays
Operations Research Letters
Expert Systems with Applications: An International Journal
Integrated and interactive method for solving layout optimization problems
Expert Systems with Applications: An International Journal
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This paper proposes a new multi objective genetic algorithm (MOGA) for solving unequal area facility layout problems (UA-FLPs). The genetic algorithm suggested is based upon the slicing structure where the relative locations of the facilities on the floor are represented by a location matrix encoded in two chromosomes. A block layout is constructed by partitioning the floor into a set of rectangular blocks using guillotine cuts satisfying the areas requirements of the departments. The procedure takes into account four objective functions (material handling costs, aspect ratio, closeness and distance requests) by means of a Pareto based evolutionary approach. The main advantage of the proposed formulation, with respect to existing referenced approaches (e.g. bay structure), is that the search space is considerably wide and the practicability of the layout designs is preserved, thus improving the quality of the solutions obtained.