Solving machine-loading problem of a flexible manufacturing system with constraint-based genetic algorithm-Reference-Cited by-同舟云学术

Solving machine-loading problem of a flexible manufacturing system with constraint-based genetic algorithm

Published:2006-12 Issue:2 Volume:175 Page:1043-1069
ISSN:0377-2217
Container-title:European Journal of Operational Research
language:en
Short-container-title:European Journal of Operational Research

Author:

Kumar Akhilesh,Prakash ,Tiwari M.K.,Shankar Ravi,Baveja Alok

Publisher

Elsevier BV

Subject

Information Systems and Management,Management Science and Operations Research,Modelling and Simulation,General Computer Science,Industrial and Manufacturing Engineering

Reference89 articles.

1. An empirical study of bit vector function optimization;Ackley,1987

2. A large scale machine loading problem in flexible assembly;Ammons;Annals of Operation Research,1985

3. A model of machine-tool selection and operation in FMS;Atmani;International Journal of Production Research,1998

4. Incorporating chromosome differentiation genetic algorithm;Bandhopadhyay;Information Science,1998

5. A measurement and use of operational flexibility in the loading of FMS;Bernado;European Journal of Operation Research,1992

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