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GECCO
2006
Springer
130views Optimization» more  GECCO 2006»
9 years 10 months 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»
9 years 10 months 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»
9 years 10 months 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»
9 years 10 months 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»
9 years 10 months ago
Multi-objective diversity maintenance
Paul Snijders, Edwin D. de Jong, Bart de Boer, Fra...
GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
9 years 10 months 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»
9 years 10 months 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
GECCO
2006
Springer
135views Optimization» more  GECCO 2006»
9 years 10 months ago
Single and multi-objective genetic operators in object-oriented conceptual software design
This poster paper investigates the potential of single and multiobjective genetic operators with an object-oriented conceptual design space. Using cohesion as an objective fitness...
Christopher L. Simons, Ian C. Parmee
GECCO
2006
Springer
119views Optimization» more  GECCO 2006»
9 years 10 months ago
Anisotropic selection in cellular genetic algorithms
David Simoncini, Sébastien Vérel, Ph...
GECCO
2006
Springer
154views Optimization» more  GECCO 2006»
9 years 10 months ago
Dynamic fitness inheritance proportion for multi-objective particle swarm optimization
In this paper, we propose a dynamic mechanism to vary the probability by which fitness inheritance is applied throughout the run of a multi-objective particle swarm optimizer, in ...
Margarita Reyes Sierra, Carlos A. Coello Coello
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