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» On the Brittleness of Evolutionary Algorithms
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GECCO
2010
Springer
210views Optimization» more  GECCO 2010»
15 years 11 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
GECCO
2010
Springer
233views Optimization» more  GECCO 2010»
15 years 11 months ago
Evolutionary-based conflict-free scheduling of collective communications on spidergon NoCs
The Spidergon interconnection network has become popular recently in multiprocessor systems on chips. To the best of our knowledge, algorithms for collective communications (CC) h...
Jirí Jaros, Vaclav Dvorak
GECCO
2009
Springer
152views Optimization» more  GECCO 2009»
15 years 11 months ago
A data-based coding of candidate strings in the closest string problem
Given a set of strings S of equal lengths over an alphabet Σ, the closest string problem seeks a string over Σ whose maximum Hamming distance to any of the given strings is as s...
Bryant A. Julstrom
GECCO
2009
Springer
103views Optimization» more  GECCO 2009»
15 years 11 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
ICANNGA
2009
Springer
163views Algorithms» more  ICANNGA 2009»
15 years 10 months ago
Elitistic Evolution: An Efficient Heuristic for Global Optimization
A new evolutionary algorithm, Elitistic Evolution (termed EEv), is proposed in this paper. EEv is an evolutionary method for numerical optimization with adaptive behavior. EEv uses...
Francisco Viveros Jiménez, Efrén Mez...