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GECCO
2006
Springer
181views Optimization» more  GECCO 2006»
14 years 7 days ago
Designing safe, profitable automated stock trading agents using evolutionary algorithms
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...
Harish Subramanian, Subramanian Ramamoorthy, Peter...
GECCO
2006
Springer
157views Optimization» more  GECCO 2006»
14 years 7 days ago
How randomized search heuristics find maximum cliques in planar graphs
Surprisingly, general search heuristics often solve combinatorial problems quite sufficiently, although they do not outperform specialized algorithms. Here, the behavior of simple...
Tobias Storch
GECCO
2006
Springer
179views Optimization» more  GECCO 2006»
14 years 7 days ago
Evolving cooperative behavior in a power market
This paper presents an evolutionary algorithm to develop cooperative strategies for power buyers in a deregulated electrical power market. Cooperative strategies are evolved throu...
Dipti Srinivasan, Dakun Woo, Lily Rachmawati, Kong...
GECCO
2006
Springer
130views Optimization» more  GECCO 2006»
14 years 7 days ago
An efficient multi-objective evolutionary algorithm with steady-state replacement model
The generic Multi-objective Evolutionary Algorithm (MOEA) aims to produce Pareto-front approximations with good convergence and diversity property. To achieve convergence, most mu...
Dipti Srinivasan, Lily Rachmawati
GECCO
2006
Springer
220views Optimization» more  GECCO 2006»
14 years 7 days ago
Comparing evolutionary algorithms on the problem of network inference
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...
Christian Spieth, Rene Worzischek, Felix Streicher...
GECCO
2006
Springer
165views Optimization» more  GECCO 2006»
14 years 7 days ago
Comparing mathematical models on the problem of network inference
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...
Christian Spieth, Nadine Hassis, Felix Streichert
GECCO
2006
Springer
135views Optimization» more  GECCO 2006»
14 years 7 days ago
A simple line search operator for ridged landscapes
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...
Andrea Soltoggio
GECCO
2006
Springer
125views Optimization» more  GECCO 2006»
14 years 7 days ago
Multi-objective diversity maintenance
Paul Snijders, Edwin D. de Jong, Bart de Boer, Fra...
GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
14 years 7 days ago
A new version of the ant-miner algorithm discovering unordered rule sets
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...
James Smaldon, Alex Alves Freitas
GECCO
2006
Springer
186views Optimization» more  GECCO 2006»
14 years 7 days ago
Comparison of multi-modal optimization algorithms based on evolutionary algorithms
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...
Gulshan Singh, Kalyanmoy Deb