A biased random-key genetic algorithm for the minimization of open stacks problem-Reference-Cited by-同舟云学术

A biased random-key genetic algorithm for the minimization of open stacks problem

Published:2014-07-02 Issue:1-2 Volume:23 Page:25-46
ISSN:0969-6016
Container-title:International Transactions in Operational Research
language:en
Short-container-title:Intl. Trans. in Op. Res.

Author:

Gonçalves José Fernando¹,Resende Mauricio G. C.²,Costa Miguel Dias³

Affiliation:

1. LIAAD; INESC TEC; Faculdade de Economia do Porto; Universidade do Porto; Rua Dr. Roberto Frias, s/n 4200-464 Porto Portugal

2. AT&T Labs Research; 180 Park Avenue, Room C241 Florham Park NJ 07932 USA

3. Faculdade de Economia do Porto; Universidade do Porto; Rua Dr. Roberto Frias, s/n 4200-464 Porto Portugal

Publisher

Wiley

Subject

Management of Technology and Innovation,Management Science and Operations Research,Strategy and Management,Computer Science Applications,Business and International Management

Reference42 articles.

1. A heuristic for the minimization of open stacks problem;Ashikaga;Pesquisa Operacional,2009

2. Dynamic programming to minimize the maximum number of open stacks;Banda;INFORMS Journal on Computing,2007

3. Genetics and random keys for sequencing and optimization;Bean;ORSA Journal on Computing,1994

4. Becceneri , J. 1999 O problema de sequenciamento de padr oes para minimizaçao do número máximo de pilhas abertas em ambientes de corte industriais

5. A method for solving the minimization of the maximum number of open stacks problem within a cutting process;Becceneri;Computers & Operations Research,2004

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