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» A framework for the description of evolutionary algorithms
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CEC
2007
IEEE
13 years 11 months ago
Adaptive farming strategies for dynamic economic environment
This paper aims to forecast the economic impacts of changing land-use in UK uplands. We assume that farmers adaptively learn and respond to a dynamic economic environment. The main...
Nanlin Jin, Mette Termansen, Klaus Hubacek, Joseph...
GECCO
2005
Springer
128views Optimization» more  GECCO 2005»
14 years 1 months ago
Collaborative interactive evolution
Interactive evolutionary computation (IEC) has proven useful in a variety of applications by combining the subjective evaluation of a user with the massive parallel search power o...
Sean R. Szumlanski, Annie S. Wu, Charles E. Hughes
IPPS
2006
IEEE
14 years 1 months ago
Phylospaces: reconstructing evolutionary trees in tuple space
Phylospaces is a novel framework for reconstructing evolutionary trees in tuple space, a distributed shared memory that permits processes to communicate and coordinate with each o...
Marc L. Smith, Tiffani L. Williams
ISDA
2009
IEEE
14 years 2 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
LION
2010
Springer
239views Optimization» more  LION 2010»
13 years 11 months ago
The EvA2 Optimization Framework
Abstract. We present EvA2, a comprehensive metaheuristic optimization framework with emphasis on Evolutionary Algorithms. It presents a modular structure of interfaces and abstract...
Marcel Kronfeld, Hannes Planatscher, Andreas Zell