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CEC
2007
IEEE
15 years 5 months ago
A novel general framework for evolutionary optimization: Adaptive fuzzy fitness granulation
— Computational complexity is a major challenge in evolutionary algorithms due to their need for repeated fitness function evaluations. Here, we aim to reduce number of fitness f...
Mohsen Davarynejad, Mohammad R. Akbarzadeh-Totonch...
140
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JUCS
2006
101views more  JUCS 2006»
15 years 3 months ago
DS/CDMA Multiuser Detection with Evolutionary Algorithms
This work analyses two heuristic algorithms based on the genetic evolution theory applied to direct sequence code division multiple access (DS/CDMA) communication systems. For diff...
Fernando Ciriaco, Taufik Abrão, Paul Jean E...
GPEM
2010
89views more  GPEM 2010»
15 years 1 months ago
Variable population size and evolution acceleration: a case study with a parallel evolutionary algorithm
Abstract With current developments of parallel and distributed computing, evolutionary algorithms have benefited considerably from parallelization techniques. Besides improved com...
Ting Hu, Simon Harding, Wolfgang Banzhaf
CVPR
2003
IEEE
16 years 5 months ago
Hybrid Evolutionary Ridge Regression Approach for High-Accurate Corner Extraction
Corner measurement is of main concern within the following tasks: camera calibration, image matching, object tracking, recognition and reconstruction. This paper presents a hybrid...
Benjamín Hernández, Enrique Dunn, Gu...
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
15 years 9 months ago
Evolutionary algorithms and matroid optimization problems
We analyze the performance of evolutionary algorithms on various matroid optimization problems that encompass a vast number of efficiently solvable as well as NP-hard combinatoria...
Joachim Reichel, Martin Skutella