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EMO
2006
Springer
122views Optimization» more  EMO 2006»
13 years 11 months ago
Substitute Distance Assignments in NSGA-II for Handling Many-objective Optimization Problems
Many-objective optimization refers to optimization problems with a number of objectives considerably larger than two or three. In this paper, a study on the performance of the Fast...
Mario Köppen, Kaori Yoshida
GECCO
2004
Springer
112views Optimization» more  GECCO 2004»
14 years 1 months ago
Some Issues on the Implementation of Local Search in Evolutionary Multiobjective Optimization
This paper discusses the implementation of local search in evolutionary multiobjective optimization (EMO) algorithms for the design of a simple but powerful memetic EMO algorithm. ...
Hisao Ishibuchi, Kaname Narukawa
GECCO
2008
Springer
144views Optimization» more  GECCO 2008»
13 years 9 months ago
Multiobjective robustness for portfolio optimization in volatile environments
Multiobjective methods are ideal for evolving a set of portfolio optimisation solutions that span a range from highreturn/high-risk to low-return/low-risk, and an investor can cho...
Ghada Hassan, Christopher D. Clack
SERVICES
2008
95views more  SERVICES 2008»
13 years 9 months ago
Multiobjective Optimization of SLA-Aware Service Composition
In Service Oriented Architecture, each application is ofgned as a set of abstract services, which defines its functions. A concrete service(s) is selected at runtime for tract ser...
Hiroshi Wada, Paskorn Champrasert, Junichi Suzuki,...
ICPR
2002
IEEE
14 years 29 days ago
Face Recognition Using Optimal Non-Orthogonal Wavelet Basis Evaluated by Information Complexity
Detecting and recognizing face images automatically is a difficult task due to the variability of illumination, presentation angle, face expression and other common problems of m...
Xiaoling Wang, Hairong Qi