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» Generalized crowding for genetic algorithms
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TFS
2008
230views more  TFS 2008»
14 years 9 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....
TEC
2002
117views more  TEC 2002»
14 years 9 months ago
A genetic algorithm for shortest path routing problem and the sizing of populations
This paper presents a genetic algorithmic approach to the shortest path (SP) routing problem. Variable-length chromosomes (strings) and their genes (parameters) have been used for ...
Chang Wook Ahn, Rudrapatna S. Ramakrishna
GECCO
2007
Springer
392views Optimization» more  GECCO 2007»
15 years 3 months ago
Electronic synthesis using genetic algorithms for automatic music transcription
This paper presents a novel approach to the problem of automatic music transcription using electronic synthesis with genetic algorithms. Although the problem is well known and diļ...
Gustavo Reis, Francisco Fernández de Vega
73
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GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
15 years 3 months ago
A genetic algorithm approach to the selection of near-optimal subsets from large sets
The problem attempted in this paper is to select a sample from a large set where the sample is required to have a particular average property. The problem can be expressed as an o...
P. Whiting, P. W. Poon, J. N. Carter
70
Voted
GECCO
2005
Springer
139views Optimization» more  GECCO 2005»
15 years 3 months ago
Use of a genetic algorithm in brill's transformation-based part-of-speech tagger
The tagging problem in natural language processing is to find a way to label every word in a text as a particular part of speech, e.g., proper noun. An effective way of solving th...
Garnett Carl Wilson, Malcolm I. Heywood