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COMPSAC
2002
IEEE
15 years 2 months ago
Parallel Genetic Algorithms with Schema Migration
Genetic algorithms (GAs) are efficient non-gradient stochastic search methods. Parallel GAs are proposed to overcome the deficiencies of sequential GAs, such as low speed and aptn...
Baowen Xu, Yu Guan, Zhenqiang Chen, Karl R. P. H. ...
SENSYS
2003
ACM
15 years 2 months ago
DFuse: a framework for distributed data fusion
Simple in-network data aggregation (or fusion) techniques for sensor networks have been the focus of several recent research efforts, but they are insufficient to support advance...
Rajnish Kumar, Matthew Wolenetz, Bikash Agarwalla,...
ECAI
2010
Springer
14 years 9 months ago
Optimal Task Migration in Service-Oriented Systems: Algorithms and Mechanisms
In service-oriented systems, such as grids and clouds, users are able to outsource complex computational tasks by procuring resources on demand from remote service providers. As th...
Sebastian Stein, Enrico Gerding, Nicholas R. Jenni...
103
Voted
GECCO
1999
Springer
116views Optimization» more  GECCO 1999»
15 years 1 months ago
Topologies, Migration Rates, and Multi-Population Parallel Genetic Algorithms
This paper presents a study of parallel genetic algorithms (GAs) with multiple populations (also called demes or islands). The study makes explicit the relation between the probab...
Erick Cantú-Paz
82
Voted
IPPS
2000
IEEE
15 years 1 months ago
A Requirements Analysis for Parallel KDD Systems
Abstract. The current generation of data mining tools have limited capacity and performance, since these tools tend to be sequential. This paper explores a migration path out of th...
William Maniatty, Mohammed Javeed Zaki