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TEC
1998
106views more  TEC 1998»
13 years 8 months ago
Combining mutation operators in evolutionary programming
Abstract— Traditional investigations with evolutionary programming (EP) for continuous parameter optimization problems have used a single mutation operator with a parameterized p...
Kumar Chellapilla
GECCO
2010
Springer
338views Optimization» more  GECCO 2010»
13 years 7 months ago
Multiobjective evolutionary community detection for dynamic networks
A multiobjective genetic algorithm for detecting communities in dynamic networks, i.e., networks that evolve over time, is proposed. The approach leverages on the concept of evolu...
Francesco Folino, Clara Pizzuti
GECCO
2009
Springer
132views Optimization» more  GECCO 2009»
13 years 6 months ago
Cooperative micro-particle swarm optimization
Cooperative approaches have proved to be very useful in evolutionary computation due to their ability to solve efficiently high-dimensional complex problems through the cooperatio...
Konstantinos E. Parsopoulos

Publication
141views
12 years 6 months ago
Measures of Diversity for Populations and Distances Between Individuals with Highly Reorganizable Genomes
In this paper we address the problem of defining a measure of diversity for a population of individuals whose genome can be subjected to major reorganizations during the evolution...
Claudio Mattiussi, Markus Waibel, Dario Floreano
IDEAL
2003
Springer
14 years 1 months ago
Evolution at Learning: How to Promote Generalization?
This paper introduces generalisation concept from machine learning research and attempts to relate it to the evolutionary research. Fundamental concepts related to computational le...
Ibrahim Kuschchu