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» Towards high speed multiobjective evolutionary optimizers
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EVOW
2000
Springer
15 years 2 months ago
Prediction of Power Requirements for High-Speed Circuits
Modern VLSI design methodologies and manufacturing technologies are making circuits increasingly fast. The quest for higher circuit performance and integration density stems from f...
Fulvio Corno, Maurizio Rebaudengo, Matteo Sonza Re...
73
Voted
GECCO
2005
Springer
126views Optimization» more  GECCO 2005»
15 years 4 months ago
Evolutionary computation methods for synchronization of effects based operations
Effects based operations (EBO) is a concept based on the premise that a desired strategic outcome can be achieved through synergistic, multiplicative, and cumulative application ...
Jeffrey P. Ridder
GECCO
2009
Springer
103views Optimization» more  GECCO 2009»
15 years 3 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
86
Voted
GECCO
2005
Springer
128views Optimization» more  GECCO 2005»
15 years 4 months ago
Hybrid multiobjective genetic algorithm with a new adaptive local search process
This paper is concerned with a specific brand of evolutionary algorithms: Memetic algorithms. A new local search technique with an adaptive neighborhood setting process is introdu...
Salem F. Adra, Ian Griffin, Peter J. Fleming
117
Voted
CEC
2011
IEEE
13 years 11 months ago
Accelerating convergence towards the optimal pareto front
—Evolutionary algorithms have been very popular optimization methods for a wide variety of applications. However, in spite of their advantages, their computational cost is still ...
Mohsen Davarynejad, Jafar Rezaei, Jos L. M. Vranck...