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» Genetic algorithm optimization of superresolution parameters
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GECCO
2005
Springer
108views Optimization» more  GECCO 2005»
15 years 7 months ago
Evolving recurrent models using linear GP
Turing complete Genetic Programming (GP) models introduce the concept of internal state, and therefore have the capacity for identifying interesting temporal properties. Surprisin...
Xiao Luo, Malcolm I. Heywood, A. Nur Zincir-Heywoo...
GECCO
2006
Springer
127views Optimization» more  GECCO 2006»
15 years 5 months ago
Multiobjective genetic algorithms for multiscaling excited state direct dynamics in photochemistry
This paper studies the effectiveness of multiobjective genetic and evolutionary algorithms in multiscaling excited state direct dynamics in photochemistry via rapid reparameteriza...
Kumara Sastry, D. D. Johnson, Alexis L. Thompson, ...
TSE
2011
144views more  TSE 2011»
14 years 8 months ago
Genetic Algorithms for Randomized Unit Testing
—Randomized testing is an effective method for testing software units. Thoroughness of randomized unit testing varies widely according to the settings of certain parameters, such...
James H. Andrews, Tim Menzies, Felix Chun Hang Li
ENGL
2007
177views more  ENGL 2007»
15 years 1 months ago
Design of a Genetic-Algorithm-Based Steam Temperature Controller in Thermal Power Plants
Abstract—This paper presents a systematic approach for the design of temperature controller using genetic algorithms (GAs) for thermal power plant subsystems and investigates the...
Ali Reza Mehrabian, Morteza Mohammad-Zaheri
GECCO
1999
Springer
158views Optimization» more  GECCO 1999»
15 years 6 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...