Recent developments in evolutionary computation for manufacturing optimization: problems, solutions, and comparisons

Author

Dimopoulos, Christos ; Zalzala, Ali M S

Author_Institution

Dept. of Autom. Control. & Syst. Eng., Sheffield Univ., UK

Volume

4

Issue

2

fYear

2000

fDate

7/1/2000 12:00:00 AM

Firstpage

93

Lastpage

113

Abstract

The use of intelligent techniques in the manufacturing field has been growing the last decades due to the fact that most manufacturing optimization problems are combinatorial and NP hard. This paper examines recent developments in the field of evolutionary computation for manufacturing optimization. Significant papers in various areas are highlighted, and comparisons of results are given wherever data are available. A wide range of problems is covered, from job shop and flow shop scheduling, to process planning and assembly line balancing

Keywords

artificial intelligence; computational complexity; evolutionary computation; production control; assembly line balancing; combinatorial NP-hard problems; evolutionary computation; flow shop scheduling; intelligent techniques; job shop scheduling; manufacturing optimization; process planning; Assembly; Cellular manufacturing; Design optimization; Evolutionary computation; Genetic algorithms; Genetic programming; Job shop scheduling; Process planning; Processor scheduling; Pulp manufacturing;

fLanguage

English

Journal_Title

Evolutionary Computation, IEEE Transactions on

Publisher

ieee

ISSN

1089-778X

Type

jour

DOI

10.1109/4235.850651

Filename

850651