424 search results - page 28 / 85 » Improving Evolutionary Algorithms with Scouting |
GECCO
2007
Springer
14 years 2 months ago
2007
Springer
In the design of evolutionary multiobjective optimization (EMO) algorithms, it is important to strike a balance between diversity and convergence. Traditional mask-based crossover...
INTEGRATION
2010
13 years 6 months ago
2010
1 — This paper presents a new design automation tool based on a modified genetic algorithm kernel, in order to increase efficiency on the analog circuit and system design cycle. ...
GECCO
2004
Springer
14 years 1 months ago
2004
Springer
We propose a genetic ensemble of recurrent neural networks for stock prediction model. The genetic algorithm tunes neural networks in a two-dimensional and parallel framework. The ...
GECCO
2005
Springer
14 years 1 months ago
2005
Springer
In this study, we introduce two improved assessment metrics of multiobjective optimizers, Nondominated Ratio and Spacing Distribution, and analyze their rationality and validity. ...
GECCO
2004
Springer
14 years 1 months ago
2004
Springer
This paper discusses the implementation of local search in evolutionary multiobjective optimization (EMO) algorithms for the design of a simple but powerful memetic EMO algorithm. ...