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PATAT
2004
Springer
141views Education» more  PATAT 2004»
15 years 8 months ago
A Hybrid Multi-objective Evolutionary Algorithm for the Uncapacitated Exam Proximity Problem
A hybrid Multi-Objective Evolutionary Algorithm is used to tackle the uncapacitated exam proximity problem. In this hybridization, local search operators are used instead of the tr...
Pascal Côté, Tony Wong, Robert Sabour...
ALENEX
2009
118views Algorithms» more  ALENEX 2009»
15 years 4 months ago
Solving Maximum Flow Problems on Real World Bipartite Graphs
In this paper we present an experimental study of several maximum flow algorithms in the context of unbalanced bipartite networks. Our experiments are motivated by a real world pr...
Cosmin Silvestru Negruseri, Mircea Bogdan Pasoi, B...
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
15 years 8 months ago
Multi-chromosomal genetic programming
This paper introduces an evolutionary algorithm which uses multiple chromosomes to evolve solutions to a symbolic regression problem. Inspiration for this algorithm is provided by...
Rachel Cavill, Stephen L. Smith, Andrew M. Tyrrell
ICC
2009
IEEE
177views Communications» more  ICC 2009»
15 years 10 months ago
Reducing Power Consumption in Backbone Networks
—According to several studies, the power consumption of the Internet accounts for up to 10% of the worldwide energy consumption, and several initiatives are being put into place ...
Luca Chiaraviglio, Marco Mellia, Fabio Neri
WSC
2008
15 years 5 months ago
Dynamic entity distribution in parallel discrete event simulation
Event based simulations are an important scientific application in many fields. With the rise of cluster computing, distributed event simulation optimization becomes an essential ...
Michael Slavik, Imad Mahgoub, Ahmed Badi