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» On Using Populations of Sets in Multiobjective Optimization
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AIR
2005
98views more  AIR 2005»
14 years 9 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
CEC
2009
IEEE
15 years 4 months ago
Performance assessment of the hybrid Archive-based Micro Genetic Algorithm (AMGA) on the CEC09 test problems
— In this paper, the performance assessment of the hybrid Archive-based Micro Genetic Algorithm (AMGA) on a set of bound-constrained synthetic test problems is reported. The hybr...
Santosh Tiwari, Georges Fadel, Patrick Koch, Kalya...
ICDAR
2007
IEEE
15 years 3 months ago
Multi-Objective Optimization for SVM Model Selection
In this paper, we propose a multi-objective optimization method for SVM model selection using the well known NSGA-II algorithm. FA and FR rates are the two criteria used to find ...
Clément Chatelain, Sébastien Adam, Y...
DSD
2008
IEEE
139views Hardware» more  DSD 2008»
14 years 11 months ago
Discrete Particle Swarm Optimization for Multi-objective Design Space Exploration
Platform-based design represents the most widely used approach to design System-On-Chip (SOC) applications. In this context, the Design Space Exploration (DSE) phase consists of o...
Gianluca Palermo, Cristina Silvano, Vittorio Zacca...
GECCO
2010
Springer
189views Optimization» more  GECCO 2010»
14 years 6 months ago
Multiobjective evolutionary algorithm for software project portfolio optimization
Large software companies have to plan their project portfolio to maximize potential portfolio return and strategic alignment, while balancing various preferences, and considering ...
Thomas Kremmel, Jirí Kubalík, Stefan...