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GECCO
2006
Springer
124views Optimization» more  GECCO 2006»
13 years 11 months ago
Rotated test problems for assessing the performance of multi-objective optimization algorithms
This paper presents four rotatable multi-objective test problems that are designed for testing EMO (Evolutionary Multiobjective Optimization) algorithms on their ability in dealin...
Antony W. Iorio, Xiaodong Li
ADMA
2006
Springer
172views Data Mining» more  ADMA 2006»
14 years 1 months ago
Experimental Comparison of Feature Subset Selection Using GA and ACO Algorithm
Abstract. Practical pattern classification and knowledge discovery problems require selecting a useful subset of features from a much larger set to represent the patterns to be cl...
Keunjoon Lee, Jinu Joo, Jihoon Yang, Vasant Honava...
CEC
2009
IEEE
14 years 2 months ago
A multi-objective approach to Redundancy Allocation Problem in parallel-series systems
— The Redundancy Allocation Problem (RAP) is a kind of reliability optimization problems. It involves the selection of components with appropriate levels of redundancy or reliabi...
Zai Wang, Tianshi Chen, Ke Tang, Xin Yao
GECCO
2009
Springer
146views Optimization» more  GECCO 2009»
14 years 2 months ago
Using a distance metric to guide PSO algorithms for many-objective optimization
In this paper we propose to use a distance metric based on user-preferences to efficiently find solutions for manyobjective problems. We use a particle swarm optimization (PSO) a...
Upali K. Wickramasinghe, Xiaodong Li
GECCO
2003
Springer
103views Optimization» more  GECCO 2003»
14 years 29 days ago
Evaluation of Parameter Sensitivity for Portable Embedded Systems through Evolutionary Techniques
Power consumption and portability issues are becoming increasingly significant in embedded system architectures. Therefore, it is important that chip architects and integrated circ...
James Northern III, Michael A. Shanblatt