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GECCO
2008
Springer
134views Optimization» more  GECCO 2008»
13 years 11 months ago
Branch predictor on-line evolutionary system
In this work a branch prediction system which utilizes evolutionary techniques is introduced. It allows the predictor to adapt to the executed code and thus to improve its perform...
Karel Slany
GECCO
2008
Springer
131views Optimization» more  GECCO 2008»
13 years 11 months ago
A new memetic strategy for the numerical treatment of multi-objective optimization problems
In this paper we propose a novel iterative search procedure for multi-objective optimization problems. The iteration process – though derivative free – utilizes the geometry o...
Oliver Schütze, Gustavo Sanchez, Carlos A. Co...
GECCO
2008
Springer
129views Optimization» more  GECCO 2008»
13 years 11 months ago
Estimation of pump-curves using genetic algorithms
This paper presents a variety of different ways of estimating the general parameters for pump-curves. First a formulation is made that converts the problem into estimating four p...
Gerulf K. M. Pedersen, Zhenyu Yang
GECCO
2008
Springer
104views Optimization» more  GECCO 2008»
13 years 11 months ago
Understanding elementary landscapes
The landscape formalism unites a finite candidate solution set to a neighborhood topology and an objective function. This construct can be used to model the behavior of local sea...
Darrell Whitley, Andrew M. Sutton, Adele E. Howe
GECCO
2008
Springer
153views Optimization» more  GECCO 2008»
13 years 11 months ago
G-Metric: an M-ary quality indicator for the evaluation of non-dominated sets
An open problem in multiobjective optimization using the Pareto optimality criteria, is how to evaluate the performance of different evolutionary algorithms that solve multi– o...
Giovanni Lizárraga Lizárraga, Arturo...