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» Introduction to Randomized Algorithms
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138
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IPPS
2007
IEEE
15 years 10 months ago
Evolution of Strategy Driven Behavior in Ad Hoc Networks Using a Genetic Algorithm
In this paper we address the problem of selfish behavior in ad hoc networks. We propose a strategy driven approach which aims at enforcing cooperation between network participant...
Marcin Seredynski, Pascal Bouvry, Mieczyslaw A. Kl...
117
Voted
GECCO
2003
Springer
134views Optimization» more  GECCO 2003»
15 years 9 months ago
A Fixed-Length Subset Genetic Algorithm for the p-Median Problem
Abstract. In this paper, we review some classical recombination operations and devise new heuristic recombinations for the fixed-length subset. Our experimental results on the cla...
Andrew Lim, Zhou Xu
132
Voted
EMO
2001
Springer
109views Optimization» more  EMO 2001»
15 years 8 months ago
Specification of Genetic Search Directions in Cellular Multi-objective Genetic Algorithms
When we try to implement a multi-objective genetic algorithm (MOGA) with variable weights for finding a set of Pareto optimal solutions, one difficulty lies in determining appropri...
Tadahiko Murata, Hisao Ishibuchi, Mitsuo Gen
138
Voted
3DIM
2001
IEEE
15 years 7 months ago
The Parallel Iterative Closest Point Algorithm
This paper describes a parallel implementation developed to improve the time performance of the Iterative Closest Point Algorithm. Within each iteration, the correspondence calcul...
Christian Langis, Michael A. Greenspan, Guy Godin
131
Voted
SODA
1994
ACM
133views Algorithms» more  SODA 1994»
15 years 5 months ago
Derandomizing Algorithms for Routing and Sorting on Meshes
We describe a new technique that can be used to derandomize a number of randomized algorithms for routing and sorting on meshes. We demonstrate the power of this technique by deri...
Michael Kaufmann, Jop F. Sibeyn, Torsten Suel