CEC
2008
IEEE
14 years 6 months ago
2008
IEEE
—Crossover forms one of the core operations in genetic programming and has been the subject of many different investigations. We present a novel technique, based on semantic anal...
CEC
2008
IEEE
14 years 6 months ago
2008
IEEE
— This paper presents an algorithm which combines Estimation Distribution Algorithm with a chromosome compression scheme to solve large scale Noisy OneMax problem. The search spa...
CEC
2008
IEEE
14 years 6 months ago
2008
IEEE
—Correlation clustering problem is a NP hard problem and technologies for the solving of correlation clustering problem can be used to cluster given data set with relation matrix...
CEC
2008
IEEE
14 years 6 months ago
2008
IEEE
— The subject of the present investigation is Population-based Adaptive Systems (PAS), as implemented in the NEW TIES platform. In many existing PASs two adaptation mechanisms ar...
CEC
2008
IEEE
14 years 6 months ago
2008
IEEE
— In various nuances of evolutionary algorithms it has been observed that variable sized genomes exhibit large degrees of redundancy and corresponding undue growth. This phenomen...
CEC
2008
IEEE
14 years 6 months ago
2008
IEEE
—Limited numerical precision of nVidia GeForce 8800 GTX and other GPUs requires careful implementation of PRNGs. The Park-Miller PRNG is programmed using G80’s native Value4f ï...
CEC
2008
IEEE
14 years 6 months ago
2008
IEEE
— In this paper, we propose a novel approach to solve constrained optimization problems based on particle swarm optimization (PSO). First, an empirical comparison of the most pop...
CEC
2008
IEEE
14 years 6 months ago
2008
IEEE
—As more and more real-world optimization problems become increasingly complex, algorithms with more capable optimizations are also increasing in demand. For solving large scale ...
CEC
2008
IEEE
14 years 6 months ago
2008
IEEE
CEC
2008
IEEE
14 years 6 months ago
2008
IEEE
— We present the memetic climber, a simple search algorithm that learns topology and weights of neural networks on different time scales. When applied to the problem of learning ...