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GECCO
2005
Springer
143views Optimization» more  GECCO 2005»
13 years 11 months ago
Advanced models of cellular genetic algorithms evaluated on SAT
Cellular genetic algorithms (cGAs) are mainly characterized by their spatially decentralized population, in which individuals can only interact with their neighbors. In this work,...
Enrique Alba, Hugo Alfonso, Bernabé Dorrons...
GECCO
2006
Springer
185views Optimization» more  GECCO 2006»
13 years 10 months ago
Robot gaits evolved by combining genetic algorithms and binary hill climbing
In this paper an evolutionary algorithm is used for evolving gaits in a walking biped robot controller. The focus is fast learning in a real-time environment. An incremental appro...
Lena Mariann Garder, Mats Erling Høvin
GECCO
2007
Springer
163views Optimization» more  GECCO 2007»
14 years 13 days ago
Interactive evolution of XUL user interfaces
We attack the problem of user fatigue by using an interactive genetic algorithm to evolve user interfaces in the XUL interface definition language. The interactive genetic algori...
Juan C. Quiroz, Sushil J. Louis, Sergiu M. Dascalu
EVOW
2004
Springer
13 years 11 months ago
Top-Down Evolutionary Image Segmentation Using a Hierarchical Social Metaheuristic
Abstract. This paper presents an application of a hierarchical social (HS) metaheuristic to region-based segmentation. The original image is modelled as a simplified image graph, w...
Abraham Duarte, Ángel Sánchez, Felip...
EMO
2006
Springer
161views Optimization» more  EMO 2006»
13 years 10 months ago
Design Issues in a Multiobjective Cellular Genetic Algorithm
In this paper we study a number of issues related to the design of a cellular genetic algorithm (cGA) for multiobjective optimization. We take as an starting point an algorithm fol...
Antonio J. Nebro, Juan José Durillo, Franci...