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» A hybrid approach to parameter tuning in genetic algorithms
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EVOW
2006
Springer
13 years 11 months ago
Evolving the Structure of the Particle Swarm Optimization Algorithms
A new model for evolving the structure of a Particle Swarm Optimization (PSO) algorithm is proposed in this paper. The model is a hybrid technique that combines a Genetic Algorithm...
Laura Diosan, Mihai Oltean
ICIP
1995
IEEE
14 years 9 months ago
Genetic algorithms for object recognition in a complex scene
A real-world computer vision module must deal with a wide variety of environmental parameters. Object recognition, one of the major tasks of this vision module, typically requires...
Daniel L. Swets, B. Punch, Juyang Weng
ICARCV
2008
IEEE
177views Robotics» more  ICARCV 2008»
14 years 2 months ago
Fusing laser and vision data with a genetic ICP algorithm
—Knowledge about the environment is essential for humanoid and mobile robots to move and act safely. The most intuitive way to perceive information about the environment is throu...
Quirin Mühlbauer, Kolja Kühnlenz, Martin...
CEC
2009
IEEE
14 years 10 days ago
A parallel genetic algorithm for protein folding prediction using the 3D-HP Side Chain model
— This work presents a methodology for the application of a parallel genetic algorithm (PGA) to the problem of protein folding prediction, using the 3DHP-Side Chain model. This m...
César Manuel Vargas Benítez, Heitor ...
GECCO
1999
Springer
158views Optimization» more  GECCO 1999»
13 years 12 months ago
Coevolutionary Genetic Algorithms for Solving Dynamic Constraint Satisfaction Problems
In this paper, we discuss the adaptability of Coevolutionary Genetic Algorithms on dynamic environments. Our CGA consists of two populations: solution-level one and schema-level o...
Hisashi Handa, Osamu Katai, Tadataka Konishi, Mits...