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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
CEC
2009
IEEE
14 years 2 days ago
Benchmarking and solving dynamic constrained problems
— Many real-world dynamic optimisation problems have constraints, and in certain cases not only the objective function changes over time, but the constraints also change as well....
Trung Thanh Nguyen, Xin Yao
GECCO
2005
Springer
116views Optimization» more  GECCO 2005»
14 years 26 days ago
An empirical study on the handling of overlapping solutions in evolutionary multiobjective optimization
We focus on the handling of overlapping solutions in evolutionary multiobjective optimization (EMO) algorithms. First we show that there exist a large number of overlapping soluti...
Hisao Ishibuchi, Kaname Narukawa, Yusuke Nojima
GECCO
2006
Springer
134views Optimization» more  GECCO 2006»
13 years 11 months ago
Incorporating directional information within a differential evolution algorithm for multi-objective optimization
The field of Differential Evolution (DE) has demonstrated important advantages in single objective optimization. To date, no previous research has explored how the unique characte...
Antony W. Iorio, Xiaodong Li
CORR
2010
Springer
94views Education» more  CORR 2010»
13 years 4 months ago
Using virtual human for an interactive customer-oriented constrained environment design
: For industrial product design, it is very important to take into account assembly/disassembly and maintenance operations during the conceptual and prototype design stage. For the...
Liang Ma, Ruina Ma, Damien Chablat, Fouad Bennis