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AIR
2005
98views more  AIR 2005»
13 years 7 months ago
Evolving Dynamic Multi-Objective Optimization Problems with Objective Replacement
This paper studies the strategies for multi-objective optimization in a dynamic environment. In particular, we focus on problems with objective replacement, where some objectives ...
Sheng Uei Guan, Qian Chen, Wenting Mo
TR
2008
78views more  TR 2008»
13 years 7 months ago
MOMS-GA: A Multi-Objective Multi-State Genetic Algorithm for System Reliability Optimization Design Problems
A custom genetic algorithm was developed and implemented to solve multiple objective multi-state reliability optimization design problems. Many real-world engineering design proble...
Heidi A. Taboada, Jose F. Espiritu, David W. Coit
PPSN
2010
Springer
13 years 6 months ago
Optimizing Delivery Time in Multi-Objective Vehicle Routing Problems with Time Windows
The Vehicle Routing Problem with Time Windows involves finding the lowest-cost set of routes to deliver goods to customers, which have service time windows, using a homogeneous ...
Abel Garcia-Najera, John A. Bullinaria
GECCO
2003
Springer
322views Optimization» more  GECCO 2003»
14 years 24 days ago
AntClust: Ant Clustering and Web Usage Mining
Abstract. In this paper, we propose a new ant-based clustering algorithm called AntClust. It is inspired from the chemical recognition system of ants. In this system, the continuou...
Nicolas Labroche, Nicolas Monmarché, Gilles...
GECCO
2007
Springer
276views Optimization» more  GECCO 2007»
14 years 1 months ago
Automatic mutation test input data generation via ant colony
Fault-based testing is often advocated to overcome limitations of other testing approaches; however it is also recognized as being expensive. On the other hand, evolutionary algor...
Kamel Ayari, Salah Bouktif, Giuliano Antoniol