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GECCO
2007
Springer
190views Optimization» more  GECCO 2007»
15 years 8 months ago
Interactive evolutionary multi-objective optimization and decision-making using reference direction method
In this paper, we borrow the concept of reference direction approach from the multi-criterion decision-making literature and combine it with an EMO procedure to develop an algorit...
Kalyanmoy Deb, Abhishek Kumar
GECCO
2007
Springer
144views Optimization» more  GECCO 2007»
15 years 5 months ago
Multiobjective network design for realistic traffic models
Network topology design problems find application in several real life scenarios. However, most designs in the past either optimize for a single criterion like delay or assume sim...
Nilanjan Banerjee, Rajeev Kumar
GECCO
2008
Springer
132views Optimization» more  GECCO 2008»
15 years 2 months ago
Hybridizing an evolutionary algorithm with mathematical programming techniques for multi-objective optimization
In recent years, the development of multi-objective evolutionary algorithms (MOEAs) hybridized with mathematical programming techniques has significantly increased. However, most...
Saúl Zapotecas Martínez, Carlos A. C...
IJON
2008
116views more  IJON 2008»
15 years 1 months ago
Evolutionary ensemble of diverse artificial neural networks using speciation
Recently, many researchers have designed neural network architectures with evolutionary algorithms but most of them have used only the fittest solution of the last generation. To ...
Kyung-Joong Kim, Sung-Bae Cho
GECCO
2009
Springer
147views Optimization» more  GECCO 2009»
15 years 8 months ago
Evolutionary algorithms and multi-objectivization for the travelling salesman problem
This paper studies the multi-objectivization of single-objective optimization problems (SOOP) using evolutionary multi-objective algorithms (EMOAs). In contrast to the single-obje...
Martin Jähne, Xiaodong Li, Jürgen Branke