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» Using Genetic Algorithms for Solving Hard Problems in GIS
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GECCO
2006
Springer
447views Optimization» more  GECCO 2006»
14 years 4 days ago
Candlestick stock analysis with genetic algorithms
Candlestick analysis, a form of stock market technical analysis, is well suited for use with a genetic search algorithm. This paper explores an implementation of marrying these tw...
Peter Belford
EVOW
2007
Springer
14 years 11 days ago
Evaluation of Different Metaheuristics Solving the RND Problem
RND (Radio Network Design) is a Telecommunication problem consisting in covering a certain geographical area by using the smallest number of radio antennas achieving the biggest co...
Miguel A. Vega-Rodríguez, Juan Antonio G&oa...
ICPR
2002
IEEE
14 years 1 months ago
Assembly of Puzzles Using a Genetic Algorithm
In this paper, we proposed a method for solving the rectangle piece jigsaw puzzle assembly problem. A shape of a piece is a rectangle, and a picture of a puzzle is only painted in...
Fubito Toyama, Yukihiro Fujiki, Kenji Shoji, Juich...
GECCO
2007
Springer
154views Optimization» more  GECCO 2007»
14 years 2 months ago
Finding critical backbone structures with genetic algorithms
This paper introduces the concept of a critical backbone as a minimal set of variables or part of the solution necessary to be within the basin of attraction of the global optimum...
Adam Prügel-Bennett
GECCO
2005
Springer
139views Optimization» more  GECCO 2005»
14 years 2 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