[PDF] Top 20 DANTE - The combination between an ant colony optimization algorithm and a depth search method

... refine the solutions, but do not use the information acquired by the evolutionary meta- heuristic, except for the base solution ...of the times the local search operator ... See full document

... inspired algorithm to find the shortest path between nest and food source ...their colony act as a community they are able to solve complex problems ...[13]. The communication ... See full document

... statement: The Capacitated Vehicle Routing Problem (CVRP) is a well-known combinatorial optimization problem which is concerned with the distribution of goods between the depot ... See full document

... ACO method was inspired by the behavior of real ant colonies in which a set of artificial ants cooperate in solving a problem by exchanging information via pheromone deposited on a ...graph. ... See full document

... On the first experiment we were trying to evaluate the algorithm’s ability to solve de AAP considering both the time it took to solve the problem and the quality of the ... See full document

... selecting the amalgamation of features between a larger feature vector database that defines a specific feature set is ...addressed the dimensionality reduction problem by applying various algorithms ... See full document

... discovery method based on Ant Colony Optimization (ACO) [18] and the Expectation Maximization (EM) ...global optimization metaheuristic originating from research on ... See full document

... as an optimization problem with an objective of minimizing a cost function while satisfying system ...constraints. The objective may be power loss minimization, reduction of net voltage ... See full document

... improve the quality and efficiency of public ...exploiting the potential of new information and communication technologies, government agencies are providing a wide spectrum of online ...of ... See full document

... budget and lack of advanced space technology, it is imperative to ind new approaches for the development of low-cost launch vehicles (LV), which is, among all possibilities, an interesting option for ... See full document

... Neste cap´ıtulo pretendemos analisar os resultados obtidos pelos al- goritmos Link-State, AntNet, -DANTENet, CR-DANTENet, Ant- NetBw, -DANTENetBw e CR-DANTENetBw, para tentar deter- minar o algoritmo que melhor ... See full document

... machines. The optimal place ment is important for improving power effic iency and resource utilization in a c loud computing ...multi-objective ant colony system algorith m for the ... See full document

... other optimization models are named unconventional models; they place the pro- cess model on a secondary layer and the pri- mary role in modeling is assessed here to a procedure that controls ... See full document

... of an autonomous robotic vehicles demand highly efficient algorithm as well as ...space and time limitation for the technologies that are available for autonomous robotic ...surveillance ... See full document

... safety and performance constraints at least cost, is not a new ...immemorial an engineer has investigated several alternatives and chosen the best among ...which the designer’s ... See full document

... designed the patrol routes based on Genetic Algorithms, and tested this algorithm using a simulation of a constant number of criminals and police officers as agents moving around an ... See full document

... that the best features will have a more intensive pheromone. An Ant algorithm presents the following ...natural algorithm since it is based on the behavior of ants in ... See full document

... Tomography and Magnetic Resonance Imaging (MRI), has been widely used in all aspects of medical ...diagnosis. The purpose of these imaging techniques is to obtain various qualitative and quantitative ... See full document

... of the most prominent stakes of the online learning is learner’s ...In the present paper, we have proposed a hybrid approach based on the Ants colonies' optimization algorithm to ... See full document

... presenting the computational metric results. Although the computational metrics are systematic and do not represent a source of variance in our experiment, all PCG systems are stochastic and ... See full document