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HICSS
2006
IEEE
97views Biometrics» more  HICSS 2006»
15 years 7 months ago
Dynamically Optimizing Parameters in Support Vector Regression: An Application of Electricity Load Forecasting
This study develops a novel model, GA-SVR, for parameters optimization in support vector regression and implements this new model in a problem forecasting maximum electrical daily...
Chin-Chia Hsu, Chih-Hung Wu, Shih-Chien Chen, Kang...
EH
1999
IEEE
179views Hardware» more  EH 1999»
15 years 5 months ago
Artificial Evolution of Active Filters: A Case Study
This article focuses on the application of artificial evolution to the synthesis of analog active filters. The main objective of this research is the achievement of a new class of...
Ricardo Salem Zebulum, Marco Aurélio Cavalc...
GECCO
2004
Springer
148views Optimization» more  GECCO 2004»
15 years 6 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
CEC
2009
IEEE
15 years 8 months ago
Optimization of the sizing of a solar thermal electricity plant: Mathematical programming versus genetic algorithms
— Genetic algorithms (GAs) have been argued to constitute a flexible search thereby enabling to solve difficult problems which classical optimization methodologies may find ha...
Jose M. Cabello, Jose M. Cejudo, Mariano Luque, Fr...
IOR
2007
119views more  IOR 2007»
15 years 1 months ago
A Decentralized Approach to Discrete Optimization via Simulation: Application to Network Flow
We study a new class of decentralized algorithms for discrete optimization via simulation, which is inspired by the fictitious play algorithm applied to games with identical inte...
Alfredo Garcia, Stephen D. Patek, Kaushik Sinha