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EVOW
2009
Springer
15 years 9 months ago
Evolutionary Optimization Guided by Entropy-Based Discretization
The Learnable Evolution Model (LEM) involves alternating periods of optimization and learning, performa extremely well on a range of problems, a specialises in achieveing good resu...
Guleng Sheri, David W. Corne
131
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GECCO
2005
Springer
220views Optimization» more  GECCO 2005»
15 years 8 months ago
Scale invariant pareto optimality: a meta--formalism for characterizing and modeling cooperativity in evolutionary systems
This article describes a mathematical framework for characterizing cooperativity in complex systems subject to evolutionary pressures. This framework uses three foundational compo...
Mark Fleischer
111
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GECCO
2004
Springer
137views Optimization» more  GECCO 2004»
15 years 8 months ago
Modeling Coevolutionary Genetic Algorithms on Two-Bit Landscapes: Random Partnering
Abstract. A model of coevolutioinary genetic algorithms (COGA) consisting of two populations coevolving on two-bit landscapes is investigated in terms of the effects of random par...
Ming Chang, Kazuhiro Ohkura, Kanji Ueda, Masaharu ...
118
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CAINE
2006
15 years 4 months ago
A multiobjective evolutionary approach for constrained joint source code optimization
The synergy of software and hardware leads to efficient application expression profile (AEP) not only in terms of execution time and energy but also optimal architecture usage. We...
Naeem Zafar Azeemi
APIN
1999
114views more  APIN 1999»
15 years 2 months ago
Evolutionary Approaches to Figure-Ground Separation
The problem of figure-ground separation is tackled from the perspective of combinatorial optimization. Previous attempts have used deterministic optimization techniques based on re...
Suchendra M. Bhandarkar, Xia Zeng