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» Metaphor for learning: an evolutionary algorithm
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ACMSE
2008
ACM
13 years 9 months ago
Optimization of the multiple retailer supply chain management problem
With stock surpluses and shortages representing one of the greatest elements of risk to wholesalers, a solution to the multiretailer supply chain management problem would result i...
Caio Soares, Gerry V. Dozier, Emmett Lodree, Jared...
GECCO
2007
Springer
158views Optimization» more  GECCO 2007»
14 years 1 months ago
A novel generative encoding for exploiting neural network sensor and output geometry
A significant problem for evolving artificial neural networks is that the physical arrangement of sensors and effectors is invisible to the evolutionary algorithm. For example,...
David B. D'Ambrosio, Kenneth O. Stanley
GECCO
2010
Springer
200views Optimization» more  GECCO 2010»
14 years 14 days ago
Multivariate multi-model approach for globally multimodal problems
This paper proposes an estimation of distribution algorithm (EDA) aiming at addressing globally multimodal problems, i.e., problems that present several global optima. It can be r...
Chung-Yao Chuang, Wen-Lian Hsu
SGAI
2007
Springer
14 years 1 months ago
Evolving a Dynamic Predictive Coding Mechanism for Novelty Detection
Novelty detection is a machine learning technique which identifies new or unknown information in large data sets. We present our current work on the construction of a new novelty...
Simon J. Haggett, Dominique F. Chu, Ian W. Marshal...
TEC
2008
149views more  TEC 2008»
13 years 7 months ago
Biogeography-Based Optimization
Abstract--We propose a novel variation to biogeographybased optimization (BBO), which is an evolutionary algorithm (EA) developed for global optimization. The new algorithm employs...
Dan Simon