Quadratic approximation based hybrid genetic algorithm for function optimization
Probably the popular form of binary genetic algorithms for function optimization use
tournament selection (TS) or roulette wheel selection (RS) for function optimization. Also …
tournament selection (TS) or roulette wheel selection (RS) for function optimization. Also …
Mathematical modeling of first flush in highway storm runoff using genetic algorithm
A Massoudieh, A Abrishamchi, M Kayhanian - Science of the total …, 2008 - Elsevier
A mechanistic model was developed to predict the highway runoff pollutographs during
precipitation events. Pollutants were assumed to be in two phases, attached to the pavement …
precipitation events. Pollutants were assumed to be in two phases, attached to the pavement …
An adaptive simple particle swarm optimization algorithm
F Chunxia, W Youhong - 2008 Chinese Control and Decision …, 2008 - ieeexplore.ieee.org
The particle swarm optimization algorithm with constriction factor (CFPSO) has some
demerits, such as relapsing into local extremum, slow convergence velocity and low …
demerits, such as relapsing into local extremum, slow convergence velocity and low …
[PDF][PDF] A combination of shuffled Frog–Leaping algorithm and genetic algorithm for gene selection
CS Yang, LY Chuang, CH Ke… - Journal of Advanced …, 2008 - researchgate.net
We apply a novel hybrid approach based on SFLAGA and KNN classification and compare
11 classification problems from the literature. Experimental results show that classification …
11 classification problems from the literature. Experimental results show that classification …
Particle swarm optimization incorporating simplex search and center particle for global optimization
CC Hsu, CH Gao - 2008 IEEE Conference on Soft Computing …, 2008 - ieeexplore.ieee.org
This paper proposes a hybrid approach incorporating an enhanced Nelder-Mead simplex
search scheme into a particle swarm optimization (PSO) with the use of a center particle in a …
search scheme into a particle swarm optimization (PSO) with the use of a center particle in a …
Loney's Solenoid design using an artificial immune network with local search based on the simplex method
L dos Santos Coelho, P Alotto - IEEE transactions on …, 2008 - ieeexplore.ieee.org
The use of automatic optimization procedures for designing electromagnetic devices is
becoming more and more common. Many of these problems are described by nonlinear …
becoming more and more common. Many of these problems are described by nonlinear …
A simple particle swarm optimization combined with chaotic search
C Fan, G Jiang - 2008 7th World Congress on Intelligent Control …, 2008 - ieeexplore.ieee.org
The particle swarm optimization algorithm with constriction factor (CFPSO) has some
demerits, such as relapsing into local extremum, slow convergence velocity and low …
demerits, such as relapsing into local extremum, slow convergence velocity and low …
Studies in Computational Intelligence, Volume 311
J Kacprzyk - 2008 - Springer
This volume is a collection of selected papers that were presented at the international
conference Model-Based Reasoning in Science and Technology. Abduction, Logic, and …
conference Model-Based Reasoning in Science and Technology. Abduction, Logic, and …
Digital redesign of uncertain interval systems via a hybrid particle swarm optimiser
CC Hsu, CH Gao - International Journal of Innovative …, 2008 - inderscienceonline.com
In this paper, a hybrid optimiser incorporating particle swarm optimisation (PSO) and an
enhanced NM simplex search method is proposed to derive an optimal digital controller for …
enhanced NM simplex search method is proposed to derive an optimal digital controller for …
[引用][C] A Note on Restarted and Modified Simplex Search for Unconstrained Optimization QH Zhao, D. Urosevic
N Mladenovic, P Hansen - Les Cahiers du GERAD ISSN, 2008