GECCO
2007
Springer
14 years 1 months ago
2007
Springer
Estimation of distribution algorithms replace the typical crossover and mutation operators by constructing a probabilistic model and generating offspring according to this model....
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
As a learning method support vector machine is regarded as one of the best classifiers with a strong mathematical foundation. On the other hand, evolutionary computational techniq...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
We propose that the behaviour of non-linear media can be controlled automatically through coevolutionary systems. By extension, forms of unconventional computing, i.e., massively ...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
Frequency planning is a very important task for current GSM operators. In this work we present a new mathematical formulation of the problem in which the frequency plans are evalu...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
One of the most critical issues that remains to be fully addressed in existing multimodal evolutionary algorithms is the difficulty in pre-specifying parameters used for estimatin...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
In this paper, a novel discrete differential evolution (DDE) algorithm is presented to solve the permutation flowhop scheduling problem with the makespan criterion. The DDE algori...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
In this paper we report on a study in which genetic algorithms are applied to the analysis of noisy time-series signals, which is related to the problem of analyzing the motion ch...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
This paper explores the application of the particle swarm algorithm for a NP-hard problem in the area of wireless communications. The specific problem is of detecting symbols in a...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
The artificial immune system approach for self-nonself discrimination and its application to anomaly detection problems in engineering is showing great promise. A seminal contribu...