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ENC
2005
IEEE
15 years 7 months ago
Saving Evaluations in Differential Evolution for Constrained Optimization
Generally, evolutionary algorithms require a large number of evaluations of the objective function in order to obtain a good solution. This paper presents a simple approach to sav...
Efrén Mezura-Montes, Carlos A. Coello Coell...
IWPC
2005
IEEE
15 years 7 months ago
Supporting the Evolution of a Software Visualization Tool Through Usability Studies
The paper presents a usability study conducted with graduate and undergraduate computer science students, designed to evaluate the effectiveness of a software visualization tool n...
Andrian Marcus, Denise Comorski, Andrey Sergeyev
117
Voted
GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
15 years 6 months ago
Genetic evolution of hierarchical behavior structures
The development of coherent and dynamic behaviors for mobile robots is an exceedingly complex endeavor ruled by task objectives, environmental dynamics and the interactions within...
Brian G. Woolley, Gilbert L. Peterson
GECCO
2006
Springer
119views Optimization» more  GECCO 2006»
15 years 5 months ago
Mixed-integer optimization of coronary vessel image analysis using evolution strategies
In this paper we compare Mixed-Integer Evolution Strategies (MI-ES) and standard Evolution Strategies (ES) when applied to find optimal solutions for artificial test problems and ...
Rui Li, Michael Emmerich, Jeroen Eggermont, Ernst ...
127
Voted
GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
15 years 2 months ago
Fitness importance for online evolution
To complement standard fitness functions, we propose "Fitness Importance" (FI) as a novel meta-heuristic for online learning systems. We define FI and show how it can be...
Philip Valencia, Raja Jurdak, Peter Lindsay