A multiobjective metaheuristic for a mean-risk multistage capacity investment problem with process flexibility-Reference-Cited by-同舟云学术

A multiobjective metaheuristic for a mean-risk multistage capacity investment problem with process flexibility

Published:2012-04 Issue:4 Volume:39 Page:838-849
ISSN:0305-0548
Container-title:Computers & Operations Research
language:en
Short-container-title:Computers & Operations Research

Author:

Claro João,Pinho de Sousa Jorge

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Modeling and Simulation,General Computer Science

Reference26 articles.

1. An approximation scheme for stochastic integer programs arising in capacity expansion;Ahmed;Oper Res,2003

2. A multi-stage stochastic integer programming approach for capacity expansion under uncertainty;Ahmed;J Global Optim,2003

3. Manufacturing operations and strategic flexibility: survey and cases;Beach;Int J Oper Prod Manag,2000

4. A scenario-based stochastic programming approach for technology and capacity planning;Chen;Comput Oper Res,2002

5. Claro J, Sousa JP. An object-oriented framework for multiobjective local search. In: Sousa JP, editor. MIC’2001 4th Metaheuristics International Conference, Porto, Portugal; 2001. p. 231–6.

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