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» Numeric Mutation: Improved Search in Genetic Programming
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IJIT
2004
14 years 11 months ago
Restartings: A Technique to Improve Classic Genetic Algorithms' Performance
In this contribution, a way to enhance the performance of the classic Genetic Algorithm is proposed. The idea of restarting a Genetic Algorithm is applied in order to obtain better...
Grigorios N. Beligiannis, Georgios A. Tsirogiannis...
PPSN
2000
Springer
15 years 1 months ago
Using Dynastic Exploring Recombination to Promote Diversity in Genetic Search
A family of recombination operators is studied in this work. These operators are based on keeping and using certain information about the past evolution of the algorithm to guide t...
Carlos Cotta, José M. Troya
GECCO
2004
Springer
148views Optimization» more  GECCO 2004»
15 years 3 months ago
Evolving Local Search Heuristics for SAT Using Genetic Programming
Satisfiability testing (SAT) is a very active area of research today, with numerous real-world applications. We describe CLASS2.0, a genetic programming system for semi-automatica...
Alex S. Fukunaga
GECCO
2005
Springer
122views Optimization» more  GECCO 2005»
15 years 3 months ago
An enhanced GA to improve the search process reliability in tuning of control systems
Evolutionary Algorithms (EAs) have been largely applied to optimisation and synthesis of controllers. In spite of several successful applications and competitive solutions, the st...
Andrea Soltoggio
SCAM
2008
IEEE
15 years 4 months ago
Constructing Subtle Faults Using Higher Order Mutation Testing
Traditional mutation testing considers only first order mutants, created by the injection of a single fault. Often these first order mutants denote trivial faults that are easil...
Yue Jia, Mark Harman