Macroevolutionary Algorithms in the Optimization of Industrial Plants

Author

Dueñas, B. Neira ; Rodríguez, A. Lamas ; Duro, R.J. ; del Valle, A. García

Author_Institution

Univ. da Coruna, Coruna

fYear

2007

fDate

6-8 Sept. 2007

Firstpage

255

Lastpage

260

Abstract

This paper is devoted to the evaluation of the application of Macroevolutionary algorithms to the parametric optimization of industrial plants. The approach followed is based on the integration of evolutionary algorithms and discrete event simulation tools for computing the efficiency of each individual within a modular distributed design environment. The performance of Macroevolutionary algorithms is tested in the optimization of a hybrid assembly line, and the results are discussed through their comparison to those obtained using a more standard genetic algorithm in the solution search block of the environment.

Keywords

assembling; computer aided production planning; discrete event simulation; evolutionary computation; industrial plants; optimisation; process planning; computer aided process planning; discrete event simulation; evolutionary modular environment; hybrid assembly line; industrial plant optimization; macroevolutionary algorithm; modular distributed design environment; parametric optimization; solution search block; Algorithm design and analysis; Assembly; Evolutionary computation; Genetic algorithms; Industrial plants; Multidimensional systems; Process planning; Production; Productivity; Testing; Assembly Line; CAPP (Computer Aided Process Planning); Genetic Algorithms; Macroevolutionary Algorithms; Simulation;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2007. IDAACS 2007. 4th IEEE Workshop on

Conference_Location

Dortmund

Print_ISBN

978-1-4244-1347-8

Electronic_ISBN

978-1-4244-1348-5

Type

conf

DOI

10.1109/IDAACS.2007.4488416

Filename

4488416