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Biogeography-Based Optimization Algorithm for solving the set covering problem
(Springer Verlag, 2016)
Nature Inspired Range Based Wireless Sensor Node Localization Algorithms
Localization is one of the most important factors highly desirable for the performance of Wireless Sensor Network (WSN). Localization can be stated as the estimation of the location of the sensor nodes in sensor network. ...
A Taxonomy for Locality Algorithms on Peer-to-Peer Networks
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2010)
The continuous growth of peer-to-peer networks has made them responsible for a considerable portion of the current Internet traffic. For this reason, improvements in P2P network resources usage are of central importance. ...
PARALLEL ALGORITHMS FOR MAXIMAL CLIQUES IN CIRCLE GRAPHS AND UNRESTRICTED DEPTH SEARCH
(EDP SCIENCES S A, 2010)
We present parallel algorithms on the BSP/CGM model, with p processors, to count and generate all the maximal cliques of a circle graph with n vertices and m edges. To count the number of all the maximal cliques, without ...
Aprendizagem e busca local em algoritmos meméticos para projetoassistido por computador
(Universidade Federal de Minas GeraisUFMG, 2008-02-29)
The computer aided design (CAD) process is an automated system characterized by the association of a mathematical and computational model of the device being designed and an adequate automatic search technique, an optimization ...
A structure-based coarse-fine approach for diversity tuning in cellular GAs
(Advances in Electrical and Computer Engineering, 2012)
An enhanced genetic algorithm to solve the static and multistage transmission network expansion planning
(2012-04-23)
An enhanced genetic algorithm (EGA) is applied to solve the long-term transmission expansion planning (LTTEP) problem. The following characteristics of the proposed EGA to solve the static and multistage LTTEP problem are ...
An enhanced genetic algorithm to solve the static and multistage transmission network expansion planning
(2012-04-23)
An enhanced genetic algorithm (EGA) is applied to solve the long-term transmission expansion planning (LTTEP) problem. The following characteristics of the proposed EGA to solve the static and multistage LTTEP problem are ...