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» On the practical genetic algorithms
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ISDA
2008
IEEE
16 years 1 months ago
Genetic Annealing Optimization: Design and Real World Applications
Both simulated annealing (SA) and the genetic algorithms (GA) are stochastic and derivative-free optimization technique. SA operates on one solution at a time, while the GA mainta...
Mostafa A. El-Hosseini, Aboul Ella Hassanien, Ajit...
GECCO
2007
Springer
300views Optimization» more  GECCO 2007»
16 years 24 days ago
A NSGA-II, web-enabled, parallel optimization framework for NLP and MINLP
Engineering design increasingly uses computer simulation models coupled with optimization algorithms to find the best design that meets the customer constraints within a time con...
David J. Powell, Joel K. Hollingsworth
EOR
2010
107views more  EOR 2010»
15 years 6 months ago
An optimization-based heuristic for the robotic cell problem
This study investigates an optimization-based heuristic for the Robotic Cell Problem. This problem arises in automated cells and is a complex ow shop problem with a single transpo...
Jacques Carlier, Mohamed Haouari, Mohamed Kharbech...
TACAS
1995
Springer
96views Algorithms» more  TACAS 1995»
15 years 10 months ago
Mona: Monadic Second-Order Logic in Practice
Jesper G. Henriksen, Jakob L. Jensen, Michael E. J...
IEEEHPCS
2010
15 years 1 months ago
Calculating the impact factor of neural networks on optimization algorithm for sensor selection
Intelligent sensor selection for monitoring operations is one of the serious subjects to reduce information processing time and increase information fusion accuracy. This paper at...
Abdolhossein Alipoor, Touraj Banirostam, Mehdi N. ...