This paper presents a kernel density estimation method by means of real-coded crossovers. Estimation of density algorithms (EDAs) are evolutionary optimization techniques, which d...
Abstract. Due to the lot of different Genetic Algorithm variants, encodings, and attacked problems, very little general theory is available to explain the internal functioning of ...
Automatic classification of proteins using machine learning is an important problem that has received significant attention in the literature. One feature of this problem is that e...
Arthur Zimek, Fabian Buchwald, Eibe Frank, Stefan ...
Genetic Algorithms (GAs) have been known to be robust for search and optimization problems. Image registration can take advantage of the robustness of GAs in finding best transform...
Prachya Chalermwat, Tarek A. El-Ghazawi, Jacquelin...
— Distributed Hash Table (DHT) based algorithms have been proposed to solve the routing issues in large-scale Peer-to-Peer (P2P) applications. DHT systems create an elegant Peer-...