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GECCO
2005
Springer
126views Optimization» more  GECCO 2005»
15 years 9 months ago
Not all linear functions are equally difficult for the compact genetic algorithm
Estimation of distribution algorithms (EDAs) try to solve an optimization problem by finding a probability distribution focussed around its optima. For this purpose they conduct ...
Stefan Droste
GECCO
2005
Springer
288views Optimization» more  GECCO 2005»
15 years 9 months ago
A comparison study between genetic algorithms and bayesian optimize algorithms by novel indices
Genetic Algorithms (GAs) are a search and optimization technique based on the mechanism of evolution. Recently, another sort of population-based optimization method called Estimat...
Naoki Mori, Masayuki Takeda, Keinosuke Matsumoto
WINE
2005
Springer
109views Economy» more  WINE 2005»
15 years 9 months ago
New Algorithms for Mining the Reputation of Participants of Online Auctions
The assessment of credibility and reputation of contractors in online auctions is the key issue in providing reliable environment for customer-to-customer e-commerce. Confident re...
Mikolaj Morzy
GECCO
2005
Springer
156views Optimization» more  GECCO 2005»
15 years 9 months ago
The blob code is competitive with edge-sets in genetic algorithms for the minimum routing cost spanning tree problem
Among the many codings of spanning trees for evolutionary search are those based on bijections between Pr¨ufer strings—strings of n−2 vertex labels—and spanning trees on th...
Bryant A. Julstrom
JCDL
2004
ACM
127views Education» more  JCDL 2004»
15 years 9 months ago
Collection understanding
Collection understanding shifts the traditional focus of retrieval in large collections from locating specific artifacts to gaining a comprehensive view of the collection. Visuali...
Michelle Chang, John J. Leggett, Richard Furuta, A...