An improved genetic algorithm for facility layout problems having inner structure walls and passages
Computers and Operations Research
A simulated annealing algorithm for solving the bi-objective facility layout problem
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
| Hi-index | 12.05 |
Having a significant impact on the design of many products and industrial systems, such as the subdivision of a ship, the layout of facilities in a plant or further still the assembly of parts of a mechanism, layout design optimization is at the heart of scientific issues. The design of an optimal layout solution is a critical and complex task due to the increasing demands of designers working on varied projects. This paper proposes an integrated approach to solve layout optimization problems, from the needs expressed by the designer to the creation of an ideal solution. This generic and interactive method is based on a design process divided into four steps: the description, the formulation, the solving of the problem, and the final decision. This process is based on a multiobjective modular optimization strategy that combines a genetic algorithm with local optimization modules. The method described in this paper is interactive because the designer participates in all process's steps. For example, in the final decision step, the approach includes an interactive environment in order to let the designer choose and improve an optimal solution according to his personal judgment and expertise. The global method is applied to an industrial problem which deals with the search for an optimal layout of facilities in a shelter.