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GECCO
2005
Springer
152views Optimization» more  GECCO 2005»
15 years 9 months ago
A multi-objective genetic algorithm for robust design optimization
Real-world multi-objective engineering design optimization problems often have parameters with uncontrollable variations. The aim of solving such problems is to obtain solutions t...
Mian Li, Shapour Azarm, Vikrant Aute
GECCO
2009
Springer
153views Optimization» more  GECCO 2009»
15 years 8 months ago
An evaporation mechanism for dynamic and noisy multimodal optimization
Dealing with imprecise information is a common characteristic in real-world problems. Specifically, when the source of the information are physical sensors, a level of noise in t...
Jose Luis Fernandez-Marquez, Josep Lluís Ar...
GECCO
2008
Springer
177views Optimization» more  GECCO 2008»
15 years 5 months ago
Reduced computation for evolutionary optimization in noisy environment
Evolutionary Algorithms’ (EAs’) application to real world optimization problems often involves expensive fitness function evaluation. Naturally this has a crippling effect on ...
Maumita Bhattacharya
EOR
2008
75views more  EOR 2008»
15 years 4 months ago
Soft car sequencing with colors: Lower bounds and optimality proofs
This paper is a study of the car sequencing problem, when feature spacing constraints are soft and colors of vehicles are taken into account. Both pseudo-polynomial algorithms and ...
Thierry Benoist
JUCS
2008
150views more  JUCS 2008»
15 years 4 months ago
Optimal Sensor Network Layout Using Multi-Objective Metaheuristics
: Wireless Sensor Networks (WSN) allow, thanks to the use of small wireless devices known as sensor nodes, the monitorization of wide and remote areas with precision and liveness u...
Guillermo Molina, Enrique Alba, El-Ghazali Talbi