We present an optimization algorithm that combines active learning and locally-weighted regression to find extreme points of noisy and complex functions. We apply our algorithm to...
Abstract. We have presented an optimal algorithm for minimal cost loop problem (MCLP), which consists of finding a set of minimum cost loops rooted at a source node. In the MCLP, t...
We propose a protocol for a local search and a genetic algorithm for the distributed traveling salesman problem (TSP). In the distributed TSP, information regarding the cost funct...
A new radii-based evolutionary algorithm (EA) designed for multimodal optimization problems is proposed. The approach can be placed within the genetic chromodynamics framework and ...
Catalin Stoean, Mike Preuss, Ruxandra Gorunescu, D...
Estimating the optimal number of clusters for a dataset is one of the most essential issues in cluster analysis. An improper pre-selection for the number of clusters might easily ...