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ISCAS
2005
IEEE
114views Hardware» more  ISCAS 2005»
14 years 1 months ago
Structured stochastic optimization strategies for problems with ill-conditioned error surfaces
—This paper compares the performance of several structured optimization strategies in adaptive signal processing problems that are characterized by ill-conditioned error surfaces...
S. Pal, Dean J. Krusienski, W. Kenneth Jenkins
CEC
2007
IEEE
14 years 2 months ago
Opposition-based particle swarm algorithm with cauchy mutation
—Particle Swarm Optimization (PSO) has shown its fast search speed in many complicated optimization and search problems. However, PSO could often easily fall into local optima. T...
Hui Wang, Hui Li, Yong Liu, Changhe Li, Sanyou Y. ...
GECCO
2004
Springer
122views Optimization» more  GECCO 2004»
14 years 1 months ago
An Improved Diversity Mechanism for Solving Constrained Optimization Problems Using a Multimembered Evolution Strategy
This paper presents an improved version of a simple evolution strategy (SES) to solve global nonlinear optimization problems. As its previous version, the approach does not require...
Efrén Mezura-Montes, Carlos A. Coello Coell...
TEC
2010
191views more  TEC 2010»
13 years 2 months ago
Particle Swarm Optimization Aided Orthogonal Forward Regression for Unified Data Modeling
We propose a unified data modeling approach that is equally applicable to supervised regression and classification applications, as well as to unsupervised probability density func...
Sheng Chen, Xia Hong, Chris J. Harris
GECCO
2007
Springer
210views Optimization» more  GECCO 2007»
14 years 1 months ago
Markov chain models of bare-bones particle swarm optimizers
We apply a novel theoretical approach to better understand the behaviour of different types of bare-bones PSOs. It avoids many common but unrealistic assumptions often used in an...
Riccardo Poli, William B. Langdon