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124
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GECCO
2004
Springer
148views Optimization» more  GECCO 2004»
15 years 8 months ago
Evolving Local Search Heuristics for SAT Using Genetic Programming
Satisfiability testing (SAT) is a very active area of research today, with numerous real-world applications. We describe CLASS2.0, a genetic programming system for semi-automatica...
Alex S. Fukunaga
134
Voted
CIBCB
2005
IEEE
15 years 8 months ago
Feedback Memetic Algorithms for Modeling Gene Regulatory Networks
— In this paper we address the problem of finding gene regulatory networks from experimental DNA microarray data. We focus on the evaluation of the performance of memetic algori...
Christian Spieth, Felix Streichert, Jochen Supper,...
130
Voted
TEC
2002
128views more  TEC 2002»
15 years 2 months ago
A framework for evolutionary optimization with approximate fitness functions
It is not unusual that an approximate model is needed for fitness evaluation in evolutionary computation. In this case, the convergence properties of the evolutionary algorithm are...
Yaochu Jin, Markus Olhofer, Bernhard Sendhoff
122
Voted
GECCO
2006
Springer
198views Optimization» more  GECCO 2006»
15 years 6 months ago
Autonomous evolutionary music composer
A second-generation autonomous music composition tool is developed using Genetic Algorithms. The composition is conducted in two Stages. The first Stage generates and identifies m...
Yaser M. A. Khalifa, Mohamed Basel Al-Mourad
129
Voted
GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
15 years 6 months ago
On-line evolutionary computation for reinforcement learning in stochastic domains
In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...
Shimon Whiteson, Peter Stone