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» Optimizing for Reduced Code Space using Genetic Algorithms
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ISDA
2009
IEEE
15 years 9 months ago
Valley-Adaptive Clearing Scheme for Multimodal Optimization Evolutionary Search
Recent studies [13, 18] have shown that clearing schemes are efficient multi-modal optimization methods. They efficiently reduce genetic drift which is the direct reason for prema...
Mostafa Mostafa Hashim Ellabaan, Yew-Soon Ong
GECCO
2007
Springer
163views Optimization» more  GECCO 2007»
15 years 8 months ago
Effects of the use of non-geometric binary crossover on evolutionary multiobjective optimization
In the design of evolutionary multiobjective optimization (EMO) algorithms, it is important to strike a balance between diversity and convergence. Traditional mask-based crossover...
Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto...
GECCO
2004
Springer
284views Optimization» more  GECCO 2004»
15 years 7 months ago
Lagrange Multiplier Method for Multi-campaign Assignment Problem
It is crucial to maximize marketing efficiency and customer satisfaction in personalized marketing. In this paper, we raise the multiple recommendation problem which occurs when pe...
Yong-Hyuk Kim, Byung Ro Moon
99
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ICSM
2003
IEEE
15 years 7 months ago
Library Miniaturization Using Static and Dynamic Information
Moving to smaller libraries can be considered as a relevant task when porting software systems to limited-resource devices (e.g., hand-helds). Library miniaturization will be part...
Giuliano Antoniol, Massimiliano Di Penta
ACRI
2006
Springer
15 years 8 months ago
Optimal 6-State Algorithms for the Behavior of Several Moving Creatures
The goal of our investigation is to find automatically the absolutely best rule for a moving creature in a cellular field. The task of the creature is to visit all empty cells wi...
Mathias Halbach, Rolf Hoffmann, Lars Both