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...
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...
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...
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...
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...