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» Multiobjective optimization for dynamic environments
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CEC
2007
IEEE
14 years 5 months ago
On performance metrics and particle swarm methods for dynamic multiobjective optimization problems
— This paper describes two performance measures for measuring an EMO (Evolutionary Multiobjective Optimization) algorithm’s ability to track a time-varying Paretofront in a dyn...
Xiaodong Li, Jürgen Branke, Michael Kirley
IPPS
2007
IEEE
14 years 5 months ago
Parallel Processing for Multi-objective Optimization in Dynamic Environments
This paper deals with the use of parallel processing for multi-objective optimization in applications in which the objective functions, the restrictions, and hence also the soluti...
Mario Cámara, Julio Ortega, Francisco de To...
CEC
2005
IEEE
14 years 4 months ago
Multiobjective optimization for dynamic environments
Lam Thu Bui, Hussein A. Abbass, Jürgen Branke
EOR
2002
66views more  EOR 2002»
13 years 10 months ago
Dynamic multi-objective heating optimization
We develop a multicriteria approach to the problem of space heating under a time varying price of electricity. In our dynamic goal programming model the goals are ideal temperatur...
Raimo P. Hämäläinen, Juha Mänt...
GECCO
2008
Springer
144views Optimization» more  GECCO 2008»
13 years 12 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