International audienceThis paper proposes to revisit the μ-synthesis problem with a recent and efficient meta-heuristic called Quantum Particle Swarm Optimization (QPSO). This algorithm allows optimizing dynamic (or static) D-scalings without fitting them, which leads to robust performance controllers. This method has been applied successfully to a classical flexible plant control problem with a reasonable computation time
Economic load dispatch (ELD) is an important topic in the operation of power plants which can help t...
IntroductionOptimisation Problems and Optimisation MethodsRandom Search TechniquesMetaheuristic Meth...
Parameter estimation for fractional-order chaotic systems is an important issue in fractional-order ...
International audienceThis paper proposes to revisit the μ-synthesis problem with a recent and effic...
This paper presents a nonsmooth optimization technique for solving a special mu-synthesis control pr...
Identifying optimal designs for generalized linear models with a binary response can be a challengin...
International audienceThis paper proposes to shed a new light on the μ-synthesis problem using the d...
Abstract —The conventional parameter optimisation of PID controller is easy to produce surge and big...
Parameter estimation for fractional-order chaotic systems is an important issue in fractional-order ...
Abstract: Problem statement: The problem of controlling a power system is not an easy task; it is su...
This paper proposes the shrink Gaussian distribution quantum-behaved optimization (SG-QPSO) algorith...
This paper proposes a novel variant of cooperative quantum-behaved particle swarm optimization (CQPS...
Quantum-behaved particle swarm optimization was proposed from the view of quantum world and based on...
In this paper, we propose an improved quantum-behaved particle swarm optimization (QPSO), namely spe...
Quantum-behaved particle swarm optimization (QPSO), a global optimization method, is a combination o...
Economic load dispatch (ELD) is an important topic in the operation of power plants which can help t...
IntroductionOptimisation Problems and Optimisation MethodsRandom Search TechniquesMetaheuristic Meth...
Parameter estimation for fractional-order chaotic systems is an important issue in fractional-order ...
International audienceThis paper proposes to revisit the μ-synthesis problem with a recent and effic...
This paper presents a nonsmooth optimization technique for solving a special mu-synthesis control pr...
Identifying optimal designs for generalized linear models with a binary response can be a challengin...
International audienceThis paper proposes to shed a new light on the μ-synthesis problem using the d...
Abstract —The conventional parameter optimisation of PID controller is easy to produce surge and big...
Parameter estimation for fractional-order chaotic systems is an important issue in fractional-order ...
Abstract: Problem statement: The problem of controlling a power system is not an easy task; it is su...
This paper proposes the shrink Gaussian distribution quantum-behaved optimization (SG-QPSO) algorith...
This paper proposes a novel variant of cooperative quantum-behaved particle swarm optimization (CQPS...
Quantum-behaved particle swarm optimization was proposed from the view of quantum world and based on...
In this paper, we propose an improved quantum-behaved particle swarm optimization (QPSO), namely spe...
Quantum-behaved particle swarm optimization (QPSO), a global optimization method, is a combination o...
Economic load dispatch (ELD) is an important topic in the operation of power plants which can help t...
IntroductionOptimisation Problems and Optimisation MethodsRandom Search TechniquesMetaheuristic Meth...
Parameter estimation for fractional-order chaotic systems is an important issue in fractional-order ...