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GECCO
2008
Springer
116views Optimization» more  GECCO 2008»
13 years 8 months ago
Multi-objective memetic approach for flexible process sequencing problems
This paper describes a multi-objective memetic approach for solving multi-objective flexible process sequencing problems in flexible manufacturing systems (FMSs). FMS can be des...
Jian-Hong Chen, Jian-Hung Chen
ESWA
2007
100views more  ESWA 2007»
13 years 6 months ago
Using memetic algorithms with guided local search to solve assembly sequence planning
The goal of assembly planning consists in generating feasible sequences to assemble a product and selecting an efficient assembly sequence from which related constraint factors su...
Hwai-En Tseng, Wen-Pai Wang, Hsun-Yi Shih
COR
2010
127views more  COR 2010»
13 years 7 months ago
Discrepancy search for the flexible job shop scheduling problem
The Flexible Job Shop scheduling Problem (FJSP) is a generalization of the classical Job Shop Problem in which each operation must be processed on a given machine chosen among a f...
Abir Ben Hmida, Mohamed Haouari, Marie-José...
ISVC
2010
Springer
13 years 5 months ago
Introducing Fuzzy Spatial Constraints in a Ranked Partitioned Sampling for Multi-object Tracking
Dealing with multi-object tracking in a particle filter raises several issues. A first essential point is to model possible interactions between objects. In this article, we repr...
Nicolas Widynski, Séverine Dubuisson, Isabe...
GECCO
2006
Springer
190views Optimization» more  GECCO 2006»
13 years 10 months ago
Effective genetic approach for optimizing advanced planning and scheduling in flexible manufacturing system
In this paper, a novel approach for designing chromosome has been proposed to improve the effectiveness, which called multistage operation-based genetic algorithm (moGA). The obje...
Haipeng Zhang, Mitsuo Gen