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» Generalized crowding for genetic algorithms
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KDD
2012
ACM
201views Data Mining» more  KDD 2012»
13 years 19 hour ago
Learning from crowds in the presence of schools of thought
Crowdsourcing has recently become popular among machine learning researchers and social scientists as an effective way to collect large-scale experimental data from distributed w...
Yuandong Tian, Jun Zhu
GECCO
2006
Springer
200views Optimization» more  GECCO 2006»
15 years 1 months ago
A new approach for shortest path routing problem by random key-based GA
In this paper, we propose a Genetic Algorithm (GA) approach using a new paths growth procedure by the random key-based encoding for solving Shortest Path Routing (SPR) problem. An...
Mitsuo Gen, Lin Lin
84
Voted
CSB
2004
IEEE
158views Bioinformatics» more  CSB 2004»
15 years 1 months ago
Algorithms for Association Study Design Using a Generalized Model of Haplotype Conservation
There is considerable interest in computational methods to assist in the use of genetic polymorphism data for locating disease-related genes. Haplotypes, contiguous sets of correl...
Russell Schwartz
ICAI
2003
14 years 11 months ago
Mining Generalized Sequential Patterns Using Genetic Programming
We propose a new kind of sequential pattern which we call Generalized Sequential Pattern, and we introduce the problem of mining generalized sequential patterns over temporal datab...
Sandra de Amo, Ary dos Santos Rocha Jr.
GECCO
2008
Springer
154views Optimization» more  GECCO 2008»
14 years 10 months ago
Genetic algorithms for self-spreading nodes in MANETs
We present a force-based genetic algorithm for self-spreading mobile nodes uniformly over a geographical area. Wireless mobile nodes adjust their speed and direction using a genet...
Cem Safak Sahin, Elkin Urrea, M. Ümit Uyar, M...