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APIN
2007
118views more  APIN 2007»
11 years 8 months ago
Using genetic algorithms to reorganize superpeer structure in peer to peer networks
In this thesis, we describe a genetic algorithm for optimizing the superpeer structure of semantic peer to peer networks. Peer to peer, also called P2P, networks enable us to sear...
Jaymin Kessler, Khaled Rasheed, Ismailcem Budak Ar...
ALIFE
2007
11 years 8 months ago
Evolving Virtual Creatures and Catapults
We present a system that can evolve the morphology and the controller of virtual walking and block-throwing creatures (catapults) using a genetic algorithm. The system is based on ...
Nicolas Chaumont, Richard Egli, Christoph Adami
ASAP
2010
IEEE
185views Hardware» more  ASAP 2010»
11 years 8 months ago
ImpEDE: A multidimensional design-space exploration framework for biomedical-implant processors
Abstract—The demand for biomedical implants keeps increasing. However, most of the current implant design methodologies involve custom-ASIC design. The SiMS project aims to chang...
Dhara Dave, Christos Strydis, Georgi Gaydadjiev
GECCO
2008
Springer
128views Optimization» more  GECCO 2008»
11 years 9 months ago
A tree-based GA representation for the portfolio optimization problem
Recently, a number of works have been done on how to use Genetic Algorithms to solve the Portfolio Optimization problem, which is an instance of the Resource Allocation problem cl...
Claus de Castro Aranha, Hitoshi Iba
GECCO
2008
Springer
100views Optimization» more  GECCO 2008»
11 years 9 months ago
Optimizing hierarchical menus by genetic algorithm and simulated annealing
Hierarchical menus are now ubiquitous. The performance of the menu depends on many factors: structure, layout, colors and so on. There has been extensive research on novel menus, ...
Shouichi Matsui, Seiji Yamada
GECCO
2008
Springer
139views Optimization» more  GECCO 2008»
11 years 9 months ago
Coordinate change operators for genetic algorithms
This paper studies the issue of space coordinate change in genetic algorithms, based on two methods: convex quadratic approximations, and principal component analysis. In both met...
Elizabeth F. Wanner, Eduardo G. Carrano, Ricardo H...
GECCO
2008
Springer
135views Optimization» more  GECCO 2008»
11 years 9 months ago
Evolving sequence patterns for prediction of sub-cellular locations of eukaryotic proteins
A genetic algorithm (GA) is utilised to discover known and novel PROSITE-like sequence templates that can be used to classify the sub-cellular location of eukaryotic proteins. Whi...
Greg Paperin
GECCO
2008
Springer
171views Optimization» more  GECCO 2008»
11 years 9 months ago
Image registration using genetic algorithms
This paper addresses the image registration problem applying genetic algorithms. The image registration’s objective is the definition of a mapping that best match two set of poi...
Flávio Luiz Seixas, Luiz Satoru Ochi, Aura ...
GECCO
2008
Springer
133views Optimization» more  GECCO 2008»
11 years 9 months ago
The micro-genetic operator in the search of global trends
This work studies the mGA operator (Micro Genetic Algorithm), that has been proposed in literature as a “local search” operator for optimization with Genetic Algorithm. A new ...
Flávio V. C. Martins, Eduardo G. Carrano, E...
CEC
2010
IEEE
11 years 9 months ago
Fitness landscape analysis for evolutionary non-photorealistic rendering
The best evolutionary approach can be a difficult problem. In this work we have investigated two evolutionary representations to evolve non-photorealistic renderings: a variable-le...
Jeff Riley, Victor Ciesielski
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