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CEC
2003
IEEE
16 years 2 days ago
A new particle swarm optimiser for linearly constrained optimisation
A new PSO algorithm, the Linear PSO (LPSO), is developed to optimise functions constrained by linear constraints of the form Ax = b. A crucial property of the LPSO is that the poss...
Ulrich Paquet, Andries Petrus Engelbrecht
EVOW
2003
Springer
15 years 12 months ago
Hybrid Evolution Strategy-Downhill Simplex Algorithm for Inverse Light Scattering Problems
The rough surface inverse scattering problem is approached with a combination of evolutionary strategies and the simplex method. The surface, assumed one-dimensional and perfectly ...
Demetrio Macías, Gustavo Olague, Eugenio R....
ICARIS
2003
Springer
15 years 12 months ago
A Randomized Real-Valued Negative Selection Algorithm
This paper presents a real-valued negative selection algorithm with good mathematical foundation that solves some of the drawbacks of our previous approach [11]. Specifically, it ...
Fabio A. González, Dipankar Dasgupta, Luis ...
ISCIS
2003
Springer
15 years 12 months ago
A New Continuous Action-Set Learning Automaton for Function Optimization
In this paper, we study an adaptive random search method based on continuous action-set learning automaton for solving stochastic optimization problems in which only the noisecorr...
Hamid Beigy, Mohammad Reza Meybodi
SWARM
2010
SPRINGER
231views Optimization» more  SWARM 2010»
15 years 11 months ago
Hybrid Particle Swarm and Conjugate Gradient Optimization Algorithm
Abstract. In this work we propose a different particle swarm optimization (PSO) algorithm that employs two key features of the conjugate gradient (CG) method. Namely, adaptive wei...
Abdallah Qteish, Mohammad Hamdan