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GECCO
2008
Springer
116views Optimization» more  GECCO 2008»
13 years 6 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 5 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 5 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 3 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 9 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