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» On Using Populations of Sets in Multiobjective Optimization
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PIMRC
2010
IEEE
14 years 9 months ago
Energy, latency and capacity trade-offs in wireless multi-hop networks
This paper concentrates on characterizing energy, latency and capacity trade-offs in multi-hop wireless ad-hoc networks. Therefore, a multiobjective framework is proposed to derive...
Jean-Marie Gorce, Ruifeng Zhang, Katia Jaffr&egrav...
IDEAS
2005
IEEE
149views Database» more  IDEAS 2005»
15 years 5 months ago
An Adaptive Multi-Objective Scheduling Selection Framework for Continuous Query Processing
Adaptive operator scheduling algorithms for continuous query processing are usually designed to serve a single performance objective, such as minimizing memory usage or maximizing...
Timothy M. Sutherland, Yali Zhu, Luping Ding, Elke...
GECCO
2000
Springer
114views Optimization» more  GECCO 2000»
15 years 3 months ago
Intelligent Recombination Using Individual Learning in a Collective Learning Genetic Algorithm
This paper introduces a new collective learning genetic algorithm (CLGA) which employs individual learning to do intelligent recombination based on a cooperative exchange of knowl...
Terry P. Riopka, Peter Bock
GECCO
2006
Springer
253views Optimization» more  GECCO 2006»
15 years 3 months ago
A novel approach to optimize clone refactoring activity
Achieving a high quality and cost-effective tests is a major concern for software buyers and sellers. Using tools and integrating techniques to carry out low cost testing are chal...
Salah Bouktif, Giuliano Antoniol, Ettore Merlo, Ma...
GECCO
2009
Springer
126views Optimization» more  GECCO 2009»
15 years 4 months ago
Improving NSGA-II with an adaptive mutation operator
The performance of a Multiobjective Evolutionary Algorithm (MOEA) is crucially dependent on the parameter setting of the operators. The most desired control of such parameters pre...
Arthur Gonçalves Carvalho, Aluizio F. R. Ar...