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CCGRID
2009
IEEE
15 years 7 months ago
Reliability-Oriented Genetic Algorithm for Workflow Applications Using Max-Min Strategy
— To optimize makespan and reliability for workflow applications, most existing works use list heuristics rather than genetic algorithms (GAs) which can usually give better solut...
Xiaofeng Wang, Rajkumar Buyya, Jinshu Su
GECCO
2003
Springer
167views Optimization» more  GECCO 2003»
15 years 5 months ago
Dimensionality Reduction via Genetic Value Clustering
Abstract. Feature extraction based on evolutionary search offers new possibilities for improving classification accuracy and reducing measurement complexity in many data mining and...
Alexander P. Topchy, William F. Punch
120
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EOR
2006
118views more  EOR 2006»
15 years 15 days ago
A random-key genetic algorithm for the generalized traveling salesman problem
The Generalized Traveling Salesman Problem is a variation of the well known Traveling Salesman Problem in which the set of nodes is divided into clusters; the objective is to find...
Lawrence V. Snyder, Mark S. Daskin
APIN
2006
168views more  APIN 2006»
15 years 17 days ago
Utilizing Genetic Algorithms to Optimize Membership Functions for Fuzzy Weighted Association Rules Mining
It is not an easy task to know a priori the most appropriate fuzzy sets that cover the domains of quantitative attributes for fuzzy association rules mining. In general, it is unre...
Mehmet Kaya, Reda Alhajj
115
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DMIN
2006
142views Data Mining» more  DMIN 2006»
15 years 1 months ago
Parallel Hybrid Clustering using Genetic Programming and Multi-Objective Fitness with Density (PYRAMID)
Clustering is the process of locating patterns in large data sets. It is an active research area that provides value to scientific as well as business applications. Practical clust...
Junping Sun, William Sverdlik, Samir Tout