456 search results - page 2 / 92 » Comparison of Multiobjective Evolutionary Algorithms: Empiri... |
PPSN
2004
Springer
15 years 2 months ago
2004
Springer
Multi-objective optimization methods are essential to resolve real-world problems as most involve several types of objects. Several multi-objective genetic algorithms have been pro...
IJON
2006
14 years 9 months ago
2006
Ensembles of learning machines have been formally and empirically shown to outperform (generalise better than) single predictors in many cases. Evidence suggests that ensembles ge...
86
Voted
ENC
2003
IEEE
15 years 2 months ago
2003
IEEE
This paper presents the main multiobjective optimization concepts that have been used in evolutionary algorithms to handle constraints in global optimization problems. A review of...
ICANNGA
2007
Springer
14 years 11 months ago
2007
Springer
Significant improvement over a patented lens design is achieved using multi-objective evolutionary optimization. A comparison of the results obtained from NSGA2 and ε-MOEA is done...
98
Voted
EMO
2001
Springer
15 years 2 months ago
2001
Springer
This paper studies the influence of what are recognized as key issues in evolutionary multi-objective optimization: archiving (to keep track of the current non-dominated solutions...