Journal ArticleDOI
Hybrid optimization procedure applied to optimal location finding for piezoelectric actuators and sensors for active vibration control
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TLDR
An efficient hybrid optimization approach using a new coupling technique for solving the constrained optimization problems using genetic algorithm, sequential quadratic programming and particle swarm optimization combined with a projected gradient techniques.About:
This article is published in Applied Mathematical Modelling.The article was published on 2018-10-01. It has received 26 citations till now. The article focuses on the topics: Engineering optimization & Particle swarm optimization.read more
Citations
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Journal ArticleDOI
Review on the use of piezoelectric materials for active vibration, noise, and flow control
TL;DR: The research carried out in the past five years, in the areas of modeling, and optimal positioning of piezoelectric actuators/sensors, for active vibration control, are covered.
Journal ArticleDOI
Active vibration control of smart composite plates using optimized self-tuning fuzzy logic controller with optimization of placement, sizing and orientation of PFRC actuators
Nemanja D. Zorić,Aleksandar Tomović,Aleksandar Obradovic,Radoslav Radulović,Goran R. Petrović +4 more
TL;DR: The particle swarm-optimized self-tuning fuzzy logic controller (FLC) adapted for the multiple-input multiple-output (MIMO) control is implemented for active vibration suppression of the plates.
Journal ArticleDOI
Exact solutions to max∥x∥=1∑i=1∞∥Ti(x)∥2 with applications to Physics, Bioengineering and Statistics
Francisco Javier García-Pacheco,Clemente Cobos-Sanchez,Soledad Moreno-Pulido,Alberto Sánchez-Alzola +3 more
TL;DR: A unified MATLAB code is presented for computing generalized supporting vectors of a finite number of matrices and three novel examples are provided to which the technique applies: optimized observable magnitudes by a pure state in a quantum mechanical system, a TMS optimized coil and an optimal location problem using statistics multivariate analysis.
Journal ArticleDOI
Exact Solutions to the Maxmin Problem max‖Ax‖ Subject to ‖Bx‖≤1
Soledad Moreno-Pulido,Francisco Javier García-Pacheco,Clemente Cobos-Sanchez,Alberto Sánchez-Alzola +3 more
TL;DR: An exact solution to the maxmin problem, where A and B are real matrices, and a truly optimal minimum stored-energy Transcranian Magnetic Stimulation (TMS) coil is constructed, and an optimal geolocation involving statistical variables is found.
Proceedings ArticleDOI
A Hybrid Optimization Algorithm for Solving Constrained Engineering Design Problems
TL;DR: This paper introduces a new hybrid optimization procedure named GA-PSO-SQP for resolution constrained engineering design problems, based on the genetic algorithm, the sequential quadratic programming and on the particle swarm optimization united with a projected gradient algorithm to deal constrained optimization problems.
References
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Journal ArticleDOI
Particle swarm optimization
TL;DR: A snapshot of particle swarming from the authors’ perspective, including variations in the algorithm, current and ongoing research, applications and open problems, is included.
Proceedings ArticleDOI
A new optimizer using particle swarm theory
TL;DR: The optimization of nonlinear functions using particle swarm methodology is described and implementations of two paradigms are discussed and compared, including a recently developed locally oriented paradigm.
Journal ArticleDOI
The particle swarm - explosion, stability, and convergence in a multidimensional complex space
M. Clerc,James Kennedy +1 more
TL;DR: This paper analyzes a particle's trajectory as it moves in discrete time, then progresses to the view of it in continuous time, leading to a generalized model of the algorithm, containing a set of coefficients to control the system's convergence tendencies.
Book
Engineering Optimization : Theory and Practice
TL;DR: This chapter discusses Optimization Techniques, which are used in Linear Programming I and II, and Nonlinear Programming II, which is concerned with One-Dimensional Minimization.