Performance and robustness of optimal fractional fuzzy PID controllers for pitch control of a wind turbine using chaotic optimization algorithms
The most studied controller for pitch control of wind turbines is proportional-integral-
derivative (PID) controller. However, due to uncertainties in wind turbine modeling and wind …
derivative (PID) controller. However, due to uncertainties in wind turbine modeling and wind …
Comparative study in fuzzy controller optimization using bee colony, differential evolution, and harmony search algorithms
This paper presents a comparison among the bee colony optimization (BCO), differential
evolution (DE), and harmony search (HS) algorithms. In addition, for each algorithm, a type …
evolution (DE), and harmony search (HS) algorithms. In addition, for each algorithm, a type …
Optimization of fuzzy controller design using a differential evolution algorithm with dynamic parameter adaptation based on type-1 and interval type-2 fuzzy systems
P Ochoa, O Castillo, J Soria - Soft Computing, 2020 - Springer
This paper proposes the use of the Differential Evolution algorithm with fuzzy logic for
parameter adaptation in the optimal design of fuzzy controllers for nonlinear plants. The …
parameter adaptation in the optimal design of fuzzy controllers for nonlinear plants. The …
State-of-the-art reviews of meta-heuristic algorithms with their novel proposal for unconstrained optimization and applications
RP Parouha, P Verma - Archives of Computational Methods in …, 2021 - Springer
A widespread survey of numerous traditional meta-heuristic algorithms has been
investigated category wise in this paper. Where, particle swarm optimization (PSO) and …
investigated category wise in this paper. Where, particle swarm optimization (PSO) and …
Design and applications of an advanced hybrid meta-heuristic algorithm for optimization problems
RP Parouha, P Verma - Artificial Intelligence Review, 2021 - Springer
This paper designed an advanced hybrid algorithm (h aDEPSO) to solve the optimization
problems, based on multi-population approach. It integrated with suggested advanced DE …
problems, based on multi-population approach. It integrated with suggested advanced DE …
[HTML][HTML] Damping of power system oscillations by a novel DE-GWO optimized dual UPFC controller
N Nahak, RK Mallick - … science and technology, an international journal, 2017 - Elsevier
This work presents a novel dual optimized controller to damp intra plant and inter area
oscillations in power system. The parameters of controllers are tuned by a novel hybrid …
oscillations in power system. The parameters of controllers are tuned by a novel hybrid …
Multi-objective differential evolution algorithm with fuzzy inference-based adaptive mutation factor for Pareto optimum design of suspension system
In this paper, a multi-objective differential evolution with fuzzy inference-based dynamic
adaptive mutation factor (MODE-FM) is proposed for Pareto optimization of problems using a …
adaptive mutation factor (MODE-FM) is proposed for Pareto optimization of problems using a …
Multi-objective sizing and topology optimization of truss structures using genetic programming based on a new adaptive mutant operator
Most real-world engineering problems deal with multiple conflicting objectives
simultaneously. In order to address this issue in truss optimization, this paper presents a …
simultaneously. In order to address this issue in truss optimization, this paper presents a …
An innovative hybrid algorithm to solve nonconvex economic load dispatch problem with or without valve point effects
RP Parouha, P Verma - International Transactions on Electrical …, 2021 - Wiley Online Library
This paper presents an innovative hybrid algorithm (ih PSODE) for economic load dispatch
(ELD) problems with or without valve‐point effects. It integrated with suggested novel PSO …
(ELD) problems with or without valve‐point effects. It integrated with suggested novel PSO …
Multipopulation nature-inspired algorithm (MNIA) for the designing of interpretable fuzzy systems
The solutions proposed in this article are based on our experience with fuzzy systems (FSs),
their interpretability, and population-based algorithms (PBAs). They provide a consistent …
their interpretability, and population-based algorithms (PBAs). They provide a consistent …