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EVOW
2006
Springer
13 years 11 months ago
A Preliminary Study on Handling Uncertainty in Indicator-Based Multiobjective Optimization
Abstract. Real-world optimization problems are often subject to uncertainties, which can arise regarding stochastic model parameters, objective functions and decision variables. Th...
Matthieu Basseur, Eckart Zitzler
CEC
2008
IEEE
14 years 1 months ago
A comparative study of the effect of parameter scalability in multi-objective metaheuristics
Abstract—Some real-world optimization problems have hundreds or even thousands of decision variables. However, the effect that the scalability of parameters has in modern multiob...
Juan José Durillo, Antonio J. Nebro, Carlos...
GECCO
2009
Springer
126views Optimization» more  GECCO 2009»
14 years 2 days ago
Improving NSGA-II with an adaptive mutation operator
The performance of a Multiobjective Evolutionary Algorithm (MOEA) is crucially dependent on the parameter setting of the operators. The most desired control of such parameters pre...
Arthur Gonçalves Carvalho, Aluizio F. R. Ar...
EOR
2007
101views more  EOR 2007»
13 years 7 months ago
Searching for multiobjective preventive maintenance schedules: Combining preferences with evolutionary algorithms
Heavy industry maintenance facilities at aircraft service centers or railroad yards must contend with scheduling preventive maintenance tasks to ensure critical equipment remains ...
Gang Quan, Garrison W. Greenwood, Donglin Liu, Xia...
GECCO
2008
Springer
144views Optimization» more  GECCO 2008»
13 years 8 months ago
Multi-resistant radar jamming using genetic algorithms
The next generation of advanced self-protection jammers is expected to deliver effective and energy efficient jamming against modern air tracking radars. However, optimizing such ...
Hans Jonas Fossum Moen, Stein Kristoffersen