GECCO
2006
Springer
14 years 3 months ago
2006
Springer
Trading rules are widely used by practitioners as an effective means to mechanize aspects of their reasoning about stock price trends. However, due to the simplicity of these rule...
GECCO
2006
Springer
14 years 3 months ago
2006
Springer
Surprisingly, general search heuristics often solve combinatorial problems quite sufficiently, although they do not outperform specialized algorithms. Here, the behavior of simple...
GECCO
2006
Springer
14 years 3 months ago
2006
Springer
This paper presents an evolutionary algorithm to develop cooperative strategies for power buyers in a deregulated electrical power market. Cooperative strategies are evolved throu...
GECCO
2006
Springer
14 years 3 months ago
2006
Springer
The generic Multi-objective Evolutionary Algorithm (MOEA) aims to produce Pareto-front approximations with good convergence and diversity property. To achieve convergence, most mu...
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GECCO
2006
Springer
14 years 3 months ago
2006
Springer
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 different evoluti...
GECCO
2006
Springer
14 years 3 months ago
2006
Springer
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 different mathemat...
GECCO
2006
Springer
14 years 3 months ago
2006
Springer
This paper describes a new simple operator for Evolutionary Algorithms (EA) to climb ridged landscapes. Categories and Subject Descriptors: I.2.8 [Computing Methodologies]: Proble...
GECCO
2006
Springer
14 years 3 months ago
2006
Springer
GECCO
2006
Springer
14 years 3 months ago
2006
Springer
The Ant-Miner algorithm, first proposed by Parpinelli and colleagues, applies an ant colony optimization heuristic to the classification task of data mining to discover an ordered...
GECCO
2006
Springer
14 years 3 months ago
2006
Springer
Many engineering optimization tasks involve finding more than one optimum solution. The present study provides a comprehensive review of the existing work done in the field of mul...