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

Citation
C. Dimopoulos et Ams. Zalzala, Recent developments in evolutionary computation for manufacturing optimization: Problems, solutions, and comparisons, IEEE T EV C, 4(2), 2000, pp. 93-113
Citations number
269
Categorie Soggetti
AI Robotics and Automatic Control
Journal title
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
ISSN journal
1089778X → ACNP
Volume
4
Issue
2
Year of publication
2000
Pages
93 - 113
Database
ISI
SICI code
1089-778X(200007)4:2<93:RDIECF>2.0.ZU;2-J
Abstract
The use of intelligent techniques in the manufacturing field has been growi ng the last decades due to the fact that most manufacturing optimization pr oblems are combinatorial and NP hard. This paper examines recent developmen ts in the field of evolutionary computation for manufacturing optimization. Significant papers in various areas are highlighted, and comparisons of re sults are given wherever data are available. A wide range of problems is co vered, from job shop and flow shop scheduling, to process planning and asse mbly line balancing.