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GECCO
2004
Springer
160views Optimization» more  GECCO 2004»
14 years 1 months 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
GECCO
2007
Springer
153views Optimization» more  GECCO 2007»
14 years 2 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
2008
Springer
103views Optimization» more  GECCO 2008»
13 years 9 months ago
Empirical investigations on parallel competent genetic algorithms
This paper empirically investigates parallel competent genetic algorithms (cGAs) [4]. cGAs, such as BOA [21], LINCGA [15], D5 -GA [28], can solve GA-difficult problems by automati...
Miwako Tsuji, Masaharu Munetomo, Kiyoshi Akama
ICANNGA
2007
Springer
141views Algorithms» more  ICANNGA 2007»
14 years 2 months ago
On Sum Coloring of Graphs with Parallel Genetic Algorithms
Abstract. Chromatic number, chromatic sum and chromatic sum number are important graph coloring characteristics. The paper proves that a parallel metaheuristic like the parallel ge...
Zbigniew Kokosinski, Krzysztof Kwarciany
CEC
2003
IEEE
14 years 1 months 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...