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TFS
2008
230views more  TFS 2008»
13 years 8 months ago
SGERD: A Steady-State Genetic Algorithm for Extracting Fuzzy Classification Rules From Data
Abstract--This paper considers the automatic design of fuzzyrule-based classification systems from labeled data. The performance of classifiers and the interpretability of generate...
Eghbal G. Mansoori, Mansoor J. Zolghadri, Seraj D....
GECCO
2008
Springer
363views Optimization» more  GECCO 2008»
13 years 9 months ago
Towards high speed multiobjective evolutionary optimizers
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
A. K. M. Khaled Ahsan Talukder
GECCO
2004
Springer
14 years 1 months ago
Selection-Insertion Schemes in Genetic Algorithms for the Flexible Ligand Docking Problem
Abstract. In this work we have implemented and analyzed the performance of a new real coded steady-state genetic algorithm (SSGA) for the flexible ligand-receptor docking problem....
Camila S. de Magalhães, Helio J. C. Barbosa...
EVOW
2010
Springer
14 years 3 months ago
Enhancing Genetic Algorithms by a Trie-Based Complete Solution Archive
Genetic algorithms (GAs) share a common weakness with most other metaheuristics: Candidate solutions are in general revisited multiple times, lowering diversity and wasting preciou...
Günther R. Raidl, Bin Hu
GECCO
2007
Springer
184views Optimization» more  GECCO 2007»
14 years 11 days 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