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EC
2002
228views ECommerce» more  EC 2002»
13 years 6 months ago
Improved Sampling of the Pareto-Front in Multiobjective Genetic Optimizations by Steady-State Evolution: A Pareto Converging Gen
Previous work on multiobjective genetic algorithms has been focused on preventing genetic drift and the issue of convergence has been given little attention. In this paper, we pre...
Rajeev Kumar, Peter Rockett
EC
2008
146views ECommerce» more  EC 2008»
13 years 6 months ago
Automated Discovery of Local Search Heuristics for Satisfiability Testing
The development of successful metaheuristic algorithms such as local search for a difficult problems such as satisfiability testing (SAT) is a challenging task. We investigate an ...
Alex S. Fukunaga
AINA
2005
IEEE
13 years 11 months ago
Maximum-Revenue Multicast Routing and Partial Admission Control for Multirate Multimedia Distribution
In this paper, we intend to solve the problem of maximum-revenue multicast routing with a partial admission control mechanism for multirate multimedia distribution. Specifically, ...
Hsu-Chen Cheng, Frank Yeong-Sung Lin
JUCS
2006
101views more  JUCS 2006»
13 years 6 months ago
DS/CDMA Multiuser Detection with Evolutionary Algorithms
This work analyses two heuristic algorithms based on the genetic evolution theory applied to direct sequence code division multiple access (DS/CDMA) communication systems. For diff...
Fernando Ciriaco, Taufik Abrão, Paul Jean E...
HIS
2003
13 years 7 months ago
PDGA: the Primal-Dual Genetic Algorithm
Abstract. Genetic algorithms (GAs) are a class of search algorithms based on principles of natural evolution. Hence, incorporating mechanisms used in nature may improve the perform...
Shengxiang Yang