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GECCO
2006
Springer
166views Optimization» more  GECCO 2006»
14 years 1 months ago
Solving identification problem for asynchronous finite state machines using genetic algorithms
A Genetic Algorithm, embedded in a simulation-based method, is applied to the identification of Asynchronous Finite State Machines. Two different coding schemes and their associat...
Xiaojun Geng
EURODAC
1994
IEEE
140views VHDL» more  EURODAC 1994»
14 years 1 months ago
GSA: scheduling and allocation using genetic algorithm
This paper describes a unique approach to scheduling and allocation problem in high-level synthesis using genetic algorithm (GA). This approach is dierent from a previous attempt ...
Ali Shahid, Muhammad S. T. Benten, Sadiq M. Sait
GECCO
2006
Springer
237views Optimization» more  GECCO 2006»
14 years 1 months ago
Genetic algorithms to optimise the time to make stock market investment
The application of Artificial Intelligence described in this article is intended to resolve the issue of speculation on the stock market. Genetic Algorithms is the technique that ...
David de la Fuente, Alejandro Garrido, Jaime Lavia...
EH
2002
IEEE
154views Hardware» more  EH 2002»
14 years 2 months ago
Evolving Quantum Circuits Using Genetic Algorithm
: In this paper we focus on a general approach of using genetic algorithm (GA) to evolve Quantum circuits (QC). We propose a generic GA to evolve arbitrary quantum circuit specifie...
Martin Lukac, Marek A. Perkowski
GECCO
2008
Springer
154views Optimization» more  GECCO 2008»
13 years 11 months ago
Genetic algorithms for self-spreading nodes in MANETs
We present a force-based genetic algorithm for self-spreading mobile nodes uniformly over a geographical area. Wireless mobile nodes adjust their speed and direction using a genet...
Cem Safak Sahin, Elkin Urrea, M. Ümit Uyar, M...