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GECCO
2007
Springer
153views Optimization» more  GECCO 2007»
14 years 1 months ago
Parallel genetic algorithm: assessment of performance in multidimensional scaling
Visualization of multidimensional data by means of Multidimensional Scaling (MDS) is a popular technique of exploratory data analysis widely usable, e.g. in analysis of bio-medica...
Antanas Zilinskas, Julius Zilinskas
GECCO
2004
Springer
160views Optimization» more  GECCO 2004»
14 years 28 days ago
Finding Effective Software Metrics to Classify Maintainability Using a Parallel Genetic Algorithm
The ability to predict the quality of a software object can be viewed as a classification problem, where software metrics are the features and expert quality rankings the class lab...
Rodrigo A. Vivanco, Nicolino J. Pizzi
CEC
2003
IEEE
14 years 26 days ago
Adaptive temperature schedule determined by genetic algorithm for parallel simulated annealing
Abstract- Simulated annealing (SA) is an effective general heuristic method for solving many combinatorial optimization problems. This paper deals with two problems in SA. One is ...
Mitsunori Miki, Tomoyuki Hiroyasu, Jun'ya Wako, Ta...
EVOW
2010
Springer
13 years 11 months ago
Parallel Genetic Algorithm on the CUDA Architecture
Abstract. This paper deals with the mapping of the parallel islandbased genetic algorithm with unidirectional ring migrations to nVidia CUDA software model. The proposed mapping is...
Petr Pospichal, Jirí Jaros, Josef Schwarz
GECCO
2005
Springer
134views Optimization» more  GECCO 2005»
14 years 1 months ago
Predicting mining activity with parallel genetic algorithms
We explore several different techniques in our quest to improve the overall model performance of a genetic algorithm calibrated probabilistic cellular automata. We use the Kappa ...
Sam Talaie, Ryan E. Leigh, Sushil J. Louis, Gary L...