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» Directional self-learning of genetic algorithm
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184
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ESWA
2008
166views more  ESWA 2008»
15 years 5 months ago
Modular design to support green life-cycle engineering
The severe competition in the market has driven enterprises to produce a wider variety of products to meet consumers' needs. However, frequent variation of product specificat...
Hwai-En Tseng, Chien-Chen Chang, Jia-Diann Li
GECCO
2011
Springer
236views Optimization» more  GECCO 2011»
14 years 9 months ago
Online, GA based mixture of experts: a probabilistic model of ucs
In recent years there have been efforts to develop a probabilistic framework to explain the workings of a Learning Classifier System. This direction of research has met with lim...
Narayanan Unny Edakunni, Gavin Brown, Tim Kovacs
161
Voted
AAAI
2004
15 years 7 months ago
Leap Before You Look: An Effective Strategy in an Oversubscribed Scheduling Problem
Oversubscribed scheduling problems require removing or partially satisfying tasks when enough resources are not available. For a particular oversubscribed problem, Air Force Satel...
Laura Barbulescu, L. Darrell Whitley, Adele E. How...
182
Voted
GECCO
2005
Springer
149views Optimization» more  GECCO 2005»
15 years 12 months ago
There's more to a model than code: understanding and formalizing in silico modeling experience
Mapping biology into computation has both a domain specific aspect – biological theory – and a methodological aspect – model development. Computational modelers have implici...
Janet Wiles, Nicholas Geard, James Watson, Kai Wil...
168
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ISDA
2009
IEEE
16 years 1 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