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GECCO
2006
Springer
206views Optimization» more  GECCO 2006»
14 years 13 days ago
Adaptive discretization for probabilistic model building genetic algorithms
This paper proposes an adaptive discretization method, called Split-on-Demand (SoD), to enable the probabilistic model building genetic algorithm (PMBGA) to solve optimization pro...
Chao-Hong Chen, Wei-Nan Liu, Ying-Ping Chen
GECCO
2006
Springer
186views Optimization» more  GECCO 2006»
14 years 13 days ago
Characterizing large text corpora using a maximum variation sampling genetic algorithm
An enormous amount of information available via the Internet exists. Much of this data is in the form of text-based documents. These documents cover a variety of topics that are v...
Robert M. Patton, Thomas E. Potok
GECCO
2010
Springer
163views Optimization» more  GECCO 2010»
14 years 11 days ago
Factors affecting the use of genetic algorithms in test suite augmentation
Test suite augmentation techniques are used in regression testing to help engineers identify code elements affected by changes, and generate test cases to cover those elements. R...
Zhihong Xu, Myra B. Cohen, Gregg Rothermel
CORR
2008
Springer
95views Education» more  CORR 2008»
13 years 8 months ago
An Indirect Genetic Algorithm for a Nurse Scheduling Problem
This paper describes a Genetic Algorithms approach to a manpower-scheduling problem arising at a major UK hospital. Although Genetic Algorithms have been successfully used for sim...
Uwe Aickelin, Kathryn A. Dowsland
COR
2006
122views more  COR 2006»
13 years 8 months ago
Multiple task assignments for cooperating uninhabited aerial vehicles using genetic algorithms
A problem of assigning cooperating uninhabited aerial vehicles to perform multiple tasks on multiple targets is posed as a new combinatorial optimization problem. A genetic algori...
Tal Shima, Steven J. Rasmussen, Andrew G. Sparks, ...