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DEMORS: A hybrid multi-objective optimization algorithm using differential evolution and rough set theory for constrained problems: Hybrid Metaheuristics
DEMORS: A hybrid multi-objective optimization algorithm using differential evolution and rough set theory for constrained problems: Hybrid Metaheuristics
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DEMORS: A hybrid multi-objective optimization algorithm using differential evolution and rough set theory for constrained problems: Hybrid Metaheuristics

SANTANA-QUINTERO, Luis V ; HERNANDEZ-DIAZ, Alfredo G ; MOLINA, Julián ; COELLO COELLO, Carlos A ; CABALLERO, Rafael

Computers & operations research, 2010, Vol.37 (3), p.470-480 [Periódico revisado por pares]

Kidlington: Elsevier

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12
Integrating simulation and optimization to schedule loading operations in container terminals
Integrating simulation and optimization to schedule loading operations in container terminals
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Integrating simulation and optimization to schedule loading operations in container terminals

Zeng, Qingcheng ; Yang, Zhongzhen

Computers & operations research, 2009-06, Vol.36 (6), p.1935-1944 [Periódico revisado por pares]

Kidlington: Elsevier Ltd

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13
The hill detouring method for minimizing hinging hyperplanes functions
The hill detouring method for minimizing hinging hyperplanes functions
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The hill detouring method for minimizing hinging hyperplanes functions

Huang, Xiaolin ; Xu, Jun ; Mu, Xiaomu ; Wang, Shuning

Computers & operations research, 2012-07, Vol.39 (7), p.1763-1770 [Periódico revisado por pares]

New York: Elsevier Ltd

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14
A weighted-sum method for solving the bi-objective traveling thief problem
A weighted-sum method for solving the bi-objective traveling thief problem
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A weighted-sum method for solving the bi-objective traveling thief problem

Chagas, Jonatas B.C. ; Wagner, Markus

Computers & operations research, 2022-02, Vol.138, p.105560, Article 105560 [Periódico revisado por pares]

New York: Elsevier Ltd

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15
Investing in lead-time variability reduction in a collaborative vendor–buyer supply chain model with stochastic lead time
Investing in lead-time variability reduction in a collaborative vendor–buyer supply chain model with stochastic lead time
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Investing in lead-time variability reduction in a collaborative vendor–buyer supply chain model with stochastic lead time

Lin, Hsien-Jen

Computers & operations research, 2016-08, Vol.72, p.43-49 [Periódico revisado por pares]

New York: Elsevier Ltd

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16
A survey of models and algorithms for emergency response logistics in electric distribution systems. Part II: Contingency planning level
A survey of models and algorithms for emergency response logistics in electric distribution systems. Part II: Contingency planning level
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A survey of models and algorithms for emergency response logistics in electric distribution systems. Part II: Contingency planning level

Perrier, Nathalie ; Agard, Bruno ; Baptiste, Pierre ; Frayret, Jean-Marc ; Langevin, André ; Pellerin, Robert ; Riopel, Diane ; Trépanier, Martin

Computers & operations research, 2013-07, Vol.40 (7), p.1907-1922 [Periódico revisado por pares]

Kidlington: Elsevier Ltd

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17
New and improved results for packing identical unitary radius circles within triangles, rectangles and strips
New and improved results for packing identical unitary radius circles within triangles, rectangles and strips
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New and improved results for packing identical unitary radius circles within triangles, rectangles and strips

Ernesto Julian Goldberg Birgin J. Marcel Gentil

Computers & Operations Research Oxford v. 37, n. 7, p. 1318-1327, 2010

Oxford 2010

Localização: IME - Inst. Matemática e Estatística    (PROD-1821271 )(Acessar)

18
A filtered beam search method for the m-machine permutation flowshop scheduling problem minimizing the earliness and tardiness penalties and the waiting time of the jobs
A filtered beam search method for the m-machine permutation flowshop scheduling problem minimizing the earliness and tardiness penalties and the waiting time of the jobs
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A filtered beam search method for the m-machine permutation flowshop scheduling problem minimizing the earliness and tardiness penalties and the waiting time of the jobs

Ernesto Julian Goldberg Birgin José Eurípedes Ferreira de Jesus Filho; Débora Pretti Ronconi 1968-

Computers & Operations Research Oxford v. 114, n. 1-14, p.104824, 2020

Oxford 2020

Localização: IME - Inst. Matemática e Estatística    (PROD-2970508 )(Acessar)

19
Mixed Integer linear programming and constraint programming models for the online printing shop scheduling problem
Mixed Integer linear programming and constraint programming models for the online printing shop scheduling problem
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Mixed Integer linear programming and constraint programming models for the online printing shop scheduling problem

Willian Tessaro Lunardi Ernesto Julian Goldberg Birgin; Philippe Laborie; Débora Pretti Ronconi 1968-; Holger Voos

Computers & Operations Research Oxford v. 123, p. 1-20, 2020

Oxford 2020

Localização: IME - Inst. Matemática e Estatística    (PROD-3000455 )(Acessar)

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Deste Autor:

  1. Birgin, E
  2. Sobral, F
  3. Gentil, J
  4. Ronconi, D
  5. Laborie, P

Neste Assunto:

  1. Computer Science
  2. Engineering
  3. Engineering, Industrial
  4. Science & Technology
  5. Technology

  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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