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GECCO
2006
Springer
156views Optimization» more  GECCO 2006»
15 years 2 months ago
A comparative study of evolutionary optimization techniques in dynamic environments
Genetic Algorithms have widely been used for solving optimization problems in stationary environments. In recent years, there has been a growing interest for investigating and imp...
Demet Ayvaz, Haluk Topcuoglu, Fikret S. Gürge...
GECCO
2008
Springer
112views Optimization» more  GECCO 2008»
15 years 10 days ago
Parameter-less evolutionary search
The paper presents the parameter-less implementation of an evolutionary-based search. It does not need any predefined control parameters values, which are usually used for geneti...
Gregor Papa
GECCO
2009
Springer
15 years 5 months ago
An evolutionary approach to planning IEEE 802.16 networks
Efficient and effective deployment of IEEE 802.16 networks to service an area of users with certain traffic demands is an important network planning problem. We resort to an evol...
Ting Hu, Yuanzhu Peter Chen, Wolfgang Banzhaf, Rob...
CEC
2007
IEEE
15 years 3 months ago
Optimizing low-thrust gravity assist interplanetary trajectories using evolutionary neurocontrollers
The combination of low-thrust propulsion and gravity assists allows designing high-energy missions. However the optimization of such trajectories is no trivial task. In this paper,...
I. Carnelli, B. Dachwald, M. Vasile
EUROCAST
2003
Springer
105views Hardware» more  EUROCAST 2003»
15 years 4 months ago
A Self-adaptive Model for Selective Pressure Handling within the Theory of Genetic Algorithms
In this paper we introduce a new generic selection method for Genetic Algorithms. The main difference of this selection principle in contrast to conventional selection models is g...
Michael Affenzeller, Stefan Wagner 0002