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GECCO
2009
Springer
103views Optimization» more  GECCO 2009»
15 years 2 months ago
Using performance fronts for parameter setting of stochastic metaheuristics
In this work, we explore the idea that parameter setting of stochastic metaheuristics should be considered as a multiobjective problem. The so-called “performance fronts” pres...
Johann Dréo
GECCO
2008
Springer
141views Optimization» more  GECCO 2008»
14 years 11 months ago
Co-optimization algorithms
While coevolution has many parallels to natural evolution, methods other than those based on evolutionary principles may be used in the interactive fitness setting. In this paper...
Travis C. Service, Daniel R. Tauritz
GECCO
2010
Springer
210views Optimization» more  GECCO 2010»
15 years 2 months ago
Biogeography-based optimization of neuro-fuzzy system parameters for diagnosis of cardiac disease
Cardiomyopathy refers to diseases of the heart muscle that becomes enlarged, thick, or rigid. These changes affect the electrical stability of the myocardial cells, which in turn ...
Mirela Ovreiu, Dan Simon
CEC
2007
IEEE
15 years 4 months ago
Indicator-based multi-objective local search
— This paper presents a simple and generic indicator-based multi-objective local search. This algorithm is a direct extension of the IBEA algorithm, an indicatorbased evolutionar...
Matthieu Basseur, Edmund K. Burke
EVOW
2006
Springer
15 years 1 months ago
A Memetic Algorithm with Bucket Elimination for the Still Life Problem
Abstract. Bucket elimination (BE) is an exact technique based on variable elimination, commonly used for solving constraint satisfaction problems. We consider the hybridization of ...
José E. Gallardo, Carlos Cotta, Antonio J. ...