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CCGRID
2003
IEEE
16 years 2 days ago
Distributed Computing with Hierarchical Master-worker Paradigm for Parallel Branch and Bound Algorithm
This paper discusses the impact of the hierarchical master-worker paradigm on performance of an application program, which solves an optimization problem by a parallel branch and ...
Kento Aida, Wataru Natsume, Yoshiaki Futakata
HAIS
2009
Springer
15 years 11 months ago
Automatic Clustering Using a Synergy of Genetic Algorithm and Multi-objective Differential Evolution
— This paper applies the Differential Evolution (DE) and Genetic Algorithm (GA) to the task of automatic fuzzy clustering in a Multi-objective Optimization (MO) framework. It com...
Debarati Kundu, Kaushik Suresh, Sayan Ghosh, Swaga...
EMO
2001
Springer
152views Optimization» more  EMO 2001»
15 years 11 months ago
Multi-objective Design Space Exploration of Road Trains with Evolutionary Algorithms
This paper examines the road train concept as a new alternative in long-distance freight traffic. The design of such a system is a difficult task since many different and conflicti...
Nando Laumanns, Marco Laumanns, Dirk Neunzig
GECCO
2006
Springer
176views Optimization» more  GECCO 2006»
15 years 10 months ago
A genetic algorithm with backtracking for protein structure prediction
In this paper, we propose a simple genetic algorithm for finding the optimal conformation of a protein using the three-dimensional square HP model. A backtracking procedure is use...
Clayton Matthew Johnson, Anitha Katikireddy
EAAI
2010
107views more  EAAI 2010»
15 years 1 months ago
Honey bee social foraging algorithms for resource allocation: Theory and application
A model of honey bee social foraging is introduced to create an algorithm that solves a class of optimal resource allocation problems. We prove that if several such algorithms (&q...
Nicanor Quijano, Kevin M. Passino