Sciweavers

CEC
2007
IEEE
13 years 10 months ago
Parameter calibration using meta-algorithms
— Calibrating an evolutionary algorithm (EA) means finding the right values of algorithm parameters for a given problem. This issue is highly relevant, because it has a high imp...
W. A. de Landgraaf, A. E. Eiben, Volker Nannen
CEC
2007
IEEE
13 years 10 months ago
Light beam search based multi-objective optimization using evolutionary algorithms
Abstract— For the past decade or so, evolutionary multiobjective optimization (EMO) methodologies have earned wide popularity for solving complex practical optimization problems,...
Kalyanmoy Deb, Abhay Kumar
CEC
2007
IEEE
13 years 10 months ago
Non-separable fitness functions for evolutionary shape optimization benchmarking
—Target shape matching can be used as a quick and easy surrogate task when evaluating optimization algorithms intended for computationally expensive tasks, such as turbine blade ...
Tim A. Yates, Thorsten Schnier
CEC
2007
IEEE
13 years 10 months ago
Repository method to suit different investment strategies
— This work is motivated by the interest in finding significant movements in financial stock prices. The detection of such movements is important because these could represent...
Alma Lilia Garcia-Almanza, Edward P. K. Tsang
CEC
2007
IEEE
13 years 10 months ago
On the adaptation of noise level for stochastic optimization
— This paper deals with the optimization of noisy fitness functions, where the noise level can be reduced by increasing the computational effort. We theoretically investigate th...
Olivier Teytaud, Anne Auger
CEC
2007
IEEE
13 years 10 months ago
Continuous dynamic problem generators for evolutionary algorithms
— Addressing dynamic optimization problems has attracted a growing interest from the evolutionary algorithm community in recent years due to its importance in the applications of...
Renato Tinós, Shengxiang Yang
CEC
2007
IEEE
13 years 10 months ago
An efficient Genetic Algorithm with uniform crossover for the multi-objective Airport Gate Assignment Problem
—Genetic Algorithms (GAs) have a good potential of solving the Gate Assignment Problem (GAP) at airport terminals, and the design of feasible and efficient evolutionary operators...
Xiao-Bing Hu, Ezequiel A. Di Paolo
CEC
2007
IEEE
13 years 10 months ago
Covariance matrix repairing in Gaussian based EDAs
— Gaussian models are widely adopted in continuous Estimation of Distribution Algorithms (EDAs). In this paper, we analyze continuous EDAs and show that they don’t always work ...
Weishan Dong, Xin Yao
CEC
2007
IEEE
13 years 10 months ago
A genetic algorithm for solving the binning problem in networked applications detection
Network administrators need a tool that detects the kind of applications running on their networks, in order to allocate resources and enforce security policies. Previous work sho...
Maxim Shevertalov, Edward Stehle, Spiros Mancoridi...
CEC
2007
IEEE
13 years 10 months ago
Bayesian inference in estimation of distribution algorithms
— Metaheuristics such as Estimation of Distribution Algorithms and the Cross-Entropy method use probabilistic modelling and inference to generate candidate solutions in optimizat...
Marcus Gallagher, Ian Wood, Jonathan M. Keith, Geo...