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» A Genetic Algorithm Applied to the Maximum Flow Problem
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IJIT
2004
13 years 9 months ago
Restartings: A Technique to Improve Classic Genetic Algorithms' Performance
In this contribution, a way to enhance the performance of the classic Genetic Algorithm is proposed. The idea of restarting a Genetic Algorithm is applied in order to obtain better...
Grigorios N. Beligiannis, Georgios A. Tsirogiannis...
ICGA
1997
133views Optimization» more  ICGA 1997»
13 years 8 months ago
Messy Genetic Algorithms for Subset Feature Selection
Subset Feature Selection problems can have severalattributes which may make Messy Genetic Algorithms an appropriateoptimization method. First, competitive solutions may often use ...
L. Darrell Whitley, J. Ross Beveridge, Cesar Guerr...
GECCO
2000
Springer
150views Optimization» more  GECCO 2000»
13 years 11 months ago
A Hybrid Genetic Algorithm for the Quadratic Assignment Problem
A heuristic technique that combines a genetic algorithm with a Tabu Search algorithm is applied to the Quadratic Assignment Problem (QAP). The hybrid algorithm improves the result...
Manuel Vázquez, L. Darrell Whitley
WEA
2007
Springer
95views Algorithms» more  WEA 2007»
14 years 1 months ago
Experimental Evaluation of Parametric Max-Flow Algorithms
The parametric maximum flow problem is an extension of the classical maximum flow problem in which the capacities of certain arcs are not fixed but are functions of a single par...
Maxim A. Babenko, Jonathan Derryberry, Andrew V. G...
TCOM
2008
120views more  TCOM 2008»
13 years 7 months ago
Network Coding for Efficient Multicast Routing in Wireless Ad-hoc Networks
Network coding is a powerful coding technique that has been proved to be very effective in achieving the maximum multicast capacity. It is especially suited for new emerging networ...
Jingyao Zhang, Pingyi Fan, Khaled Ben Letaief