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GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
15 years 7 months ago
Rank based variation operators for genetic algorithms
We show how and why using genetic operators that are applied with probabilities that depend on the fitness rank of a genotype or phenotype offers a robust alternative to the Sim...
Jorge Cervantes, Christopher R. Stephens
GECCO
2008
Springer
363views Optimization» more  GECCO 2008»
15 years 7 months ago
Towards high speed multiobjective evolutionary optimizers
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
A. K. M. Khaled Ahsan Talukder
171
Voted
CEC
2010
IEEE
15 years 6 months ago
Behavioral diversity measures for Evolutionary Robotics
Abstract— In Evolutionary Robotics (ER), explicitly rewarding for behavioral diversity recently revealed to generate efficient results without recourse to complex fitness funct...
Stéphane Doncieux, Jean-Baptiste Mouret
174
Voted
CEC
2010
IEEE
15 years 6 months ago
Towards scalability in niching methods
— The scaling properties of multimodal optimization methods have seldom been studied, and existing studies often concentrated on the idea that all local optima of a multimodal fu...
Marcel Kronfeld, Andreas Zell
159
Voted
JTRES
2010
ACM
15 years 6 months ago
Exhaustive testing of safety critical Java
With traditional testing, the test case has no control over non-deterministic scheduling decisions, and thus errors dependent on scheduling are only found by pure chance. Java Pat...
Tomás Kalibera, Pavel Parizek, Michal Maloh...