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CSC
2006
13 years 9 months ago
A New Migration Model For Distributed Genetic Algorithms
Genetic algorithms are heuristic search algorithm used in science, engineering and many other areas. They are powerful but slow because of their evolutionary nature that mimics th...
Taisir Eldos
ACRI
2004
Springer
14 years 1 months ago
Searching for Pattern-Forming Asynchronous Cellular Automata - An Evolutionary Approach
This paper discusses a class of 2-dimensional asynchronous cellular automata with conservation of mass, for the formation of patterns in groups. The previous study reported a metho...
Tomoaki Suzudo
SPDP
1993
IEEE
13 years 11 months ago
Extended Distributed Genetic Algorithm for Channel Routing
In this paper, we propose a new parallel genetic alge rithm (GA), called Extended Distributed Genetic Algorithm (EDGA), for channel routing problem. The EDGA combines the advantag...
B. B. Prahlada Rao, R. C. Hansdah
CCE
2005
13 years 7 months ago
Use of parallel computers in rational design of redundant sensor networks
A general method to design optimal redundant sensor network even in the case of one sensor failure and able to estimate process key parameters within a required accuracy is propos...
Carine Gerkens, Georges Heyen
ICDCS
2000
IEEE
14 years 17 hour ago
The Effect of Nogood Learning in Distributed Constraint Satisfaction
We present resolvent-based learning as a new nogood learning method for a distributed constraint satisfaction algorithm. This method is based on a look-back technique in constrain...
Makoto Yokoo, Katsutoshi Hirayama