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» A framework for the description of evolutionary algorithms
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GECCO
2007
Springer
174views Optimization» more  GECCO 2007»
14 years 1 months ago
Heuristic speciation for evolving neural network ensemble
Speciation is an important concept in evolutionary computation. It refers to an enhancements of evolutionary algorithms to generate a set of diverse solutions. The concept is stud...
Shin Ando
SSPR
2004
Springer
14 years 25 days ago
A Shallow Description Framework for Musical Style Recognition
Abstract. In the field of computer music, pattern recognition algorithms are very relevant for music information retrieval (MIR). One challenging task within this area is the auto...
Pedro J. Ponce de León, Carlos Pérez...
CEC
2010
IEEE
13 years 8 months ago
A parallel framework for multi-objective evolutionary optimization
This work focuses on the development of a parallel framework method to improve the effectiveness and the efficiency of the obtained solutions by Multi-objective Evolutionary Algori...
Dipankar Dasgupta, David Camilo Becerra Romero, Al...
EVOW
2006
Springer
13 years 11 months ago
Improving Graph Colouring Algorithms and Heuristics Using a Novel Representation
Abstract. We introduce a novel representation for the graph colouring problem, called the Integer Merge Model, which aims to reduce the time complexity of an algorithm. Moreover, o...
István Juhos, Jano I. van Hemert
CEC
2005
IEEE
13 years 9 months ago
A new approach to dynamics analysis of genetic algorithms without selection
Abstract- Theoretical analysis of the dynamics of evolutionary algorithms is believed to be very important to understand the search behavior of evolutionary algorithms and to devel...
Tatsuya Okabe, Yaochu Jin, Bernhard Sendhoff