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CP
2000
Springer
13 years 11 months ago
Optimal Anytime Constrained Simulated Annealing for Constrained Global Optimization
Abstract. In this paper we propose an optimal anytime version of constrained simulated annealing (CSA) for solving constrained nonlinear programming problems (NLPs). One of the goa...
Benjamin W. Wah, Yixin Chen
GECCO
2004
Springer
234views Optimization» more  GECCO 2004»
14 years 21 days ago
A Generic Network Design for a Closed-Loop Supply Chain Using Genetic Algorithm
Recently much research has focused on both the supply chain and reverse logistics network design problem. The rapid progress in computer and network technology and the increasingly...
Eoksu Sim, Sungwon Jung, Haejoong Kim, Jinwoo Park
CEC
2007
IEEE
14 years 1 months ago
NEMO: neural enhancement for multiobjective optimization
— In this paper, a neural network approach is presented to expand the Pareto-optimal front for multiobjective optimization problems. The network is trained using results obtained...
Aaron Garrett, Gerry V. Dozier, Kalyanmoy Deb
GECCO
2008
Springer
133views Optimization» more  GECCO 2008»
13 years 8 months ago
The micro-genetic operator in the search of global trends
This work studies the mGA operator (Micro Genetic Algorithm), that has been proposed in literature as a “local search” operator for optimization with Genetic Algorithm. A new ...
Flávio V. C. Martins, Eduardo G. Carrano, E...
CEC
2008
IEEE
14 years 1 months ago
Examination of multi-objective optimization method for global search using DIRECT and GA
— A number of multi-objective genetic algorithms (MOGAs) have been developed to obtain Pareto optimal solutions for multi-objective optimization problems. However, as these metho...
Luyi Wang, Hiroyuki Ishida, Tomoyuki Hiroyasu, Mit...