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GECCO
1999
Springer
15 years 6 months ago
Terrain-Based Genetic Algorithm (TBGA): Modeling Parameter Space as Terrain
The Terrain-Based Genetic Algorithm (TBGA) is a self-tuning version of the traditional Cellular Genetic Algorithm (CGA). In a TBGA, various combinations of parameter values appear...
V. Scott Gordon, Rebecca Pirie, Adam Wachter, Scot...
118
Voted
GECCO
2007
Springer
184views Optimization» more  GECCO 2007»
15 years 5 months ago
Multi-objective optimization tool for a free structure analog circuits design using genetic algorithms and incorporating parasit
This paper presents a novel approach for a free structure analog circuit design using Genetic Algorithms (GA). A major problem in a free structure circuit is its sensitivity calcu...
Yaser M. A. Khalifa, Badar K. Khan, Faisal Taha
GECCO
2005
Springer
177views Optimization» more  GECCO 2005»
15 years 7 months ago
Evolving next generation signal compression and reconstruction transforms via genetic algorithms
Ongoing research has established a new methodology for using genetic algorithms [2] to evolve forward and inverse transforms that significantly reduce quantization error in recons...
Frank W. Moore, Patrick Marshall
104
Voted
CORR
2008
Springer
129views Education» more  CORR 2008»
15 years 1 months ago
Evolving Dynamic Change and Exchange of Genotype Encoding in Genetic Algorithms for Difficult Optimization Problems
The application of genetic algorithms (GAs) to many optimization problems in organizations often results in good performance and high quality solutions. For successful and efficien...
Maroun Bercachi, Philippe Collard, Manuel Clergue,...
GECCO
2005
Springer
133views Optimization» more  GECCO 2005»
15 years 7 months ago
Heuristic rules embedded genetic algorithm to solve in-core fuel management optimization problem
Because of the large number of possible combinations for the fuel assembly loading in the core, the design of the loading pattern (LP) is a complex optimization problem. It requir...
Fatih Alim, Kostadin Ivanov