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» Evolutionary multiobjective optimization
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GECCO
2007
Springer
159views Optimization» more  GECCO 2007»
15 years 5 months ago
Uniform sampling of local pareto-optimal solution curves by pareto path following and its applications in multi-objective GA
Although multi-objective GA (MOGA) is an efficient multiobjective optimization (MOO) method, it has some limitations that need to be tackled, which include unguaranteed uniformity...
Ken Harada, Jun Sakuma, Shigenobu Kobayashi, Isao ...
AMC
2006
114views more  AMC 2006»
15 years 1 months ago
A multi-objective resource allocation problem in dynamic PERT networks
We develop a multi-objective model for the resource allocation problem in a dynamic PERT network, where the activity durations are exponentially distributed random variables and t...
Amir Azaron, Reza Tavakkoli-Moghaddam
119
Voted
GECCO
2006
Springer
161views Optimization» more  GECCO 2006»
15 years 5 months ago
The LEM3 implementation of learnable evolution model and its testing on complex function optimization problems
1 Learnable Evolution Model (LEM) is a form of non-Darwinian evolutionary computation that employs machine learning to guide evolutionary processes. Its main novelty are new type o...
Janusz Wojtusiak, Ryszard S. Michalski
VTC
2006
IEEE
121views Communications» more  VTC 2006»
15 years 7 months ago
Multiobjective QoS-Oriented Planning for Indoor Wireless LANs
Abstract— This paper describes an automatic wireless LAN access points planning approach based on a multicriteria modelling and solving. A realistic and efficient wLAN planning ...
Katia Jaffrès-Runser, Jean-Marie Gorce, St&...
132
Voted
PPSN
2010
Springer
15 years 3 days ago
Improved Dynamic Lexicographic Ordering for Multi-Objective Optimisation
Abstract. There is a variety of methods for ranking objectives in multiobjective optimization and some are difficult to define because they require information a priori (e.g. esta...
Juan Pedro Castro Gutiérrez, Dario Landa-Si...