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» Solving Mastermind Using Genetic Algorithms
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GECCO
2005
Springer
115views Optimization» more  GECCO 2005»
15 years 10 months ago
Search-based improvement of subsystem decompositions
The subsystem decomposition of a software system degrades gradually during its lifetime and therefore it gets harder and harder to maintain. As a result this decomposition needs t...
Olaf Seng, Markus Bauer, Matthias Biehl, Gert Pach...
GECCO
2006
Springer
142views Optimization» more  GECCO 2006»
15 years 8 months ago
An evolutionary approach to camera-based projector calibration
In this paper, we describe a GA to solve for the orientation and lens characteristics of a projector, given images of a dome screen illuminated by the projector. We use synthetic ...
Clayton Matthew Johnson, Anu Bhat, William C. Thib...
TEC
2002
81views more  TEC 2002»
15 years 4 months ago
Genetic object recognition using combinations of views
We investigate the application of genetic algorithms (GAs) for recognizing real two-dimensional (2-D) or three-dimensional (3-D) objects from 2-D intensity images, assuming that th...
George Bebis, Evangelos A. Yfantis, Sushil J. Loui...
GECCO
2009
Springer
112views Optimization» more  GECCO 2009»
15 years 11 months ago
Soft memory for stock market analysis using linear and developmental genetic programming
Recently, a form of memory usage was introduced for genetic programming (GP) called “soft memory.” Rather than have a new value completely overwrite the old value in a registe...
Garnett Carl Wilson, Wolfgang Banzhaf
IJIT
2004
15 years 5 months ago
Memetic Algorithm Based Path Planning for a Mobile Robot
In this paper, the problem of finding the optimal collision free path for a mobile robot, the path planning problem, is solved using an advanced evolutionary algorithm called memet...
Neda Shahidi, Hadi Esmaeilzadeh, Marziye Abdollahi...