A comprehensive state of the art literature survey on LFC mechanism for power system
Over the past few decades, many publications have been made in the area of Load
frequency control (LFC) of interconnected power systems. Load frequency control is …
frequency control (LFC) of interconnected power systems. Load frequency control is …
Harmony search algorithm for energy system applications: an updated review and analysis
Recent advancements in energy systems have led to a series of new challenges in the
decision-making process. Harmony search (HS) algorithm, which is a music-inspired …
decision-making process. Harmony search (HS) algorithm, which is a music-inspired …
[PDF][PDF] Model-free sliding mode and fuzzy controllers for reverse osmosis desalination plants
S Vrkalovic, EC Lunca, ID Borlea - Int. J. Artif. Intell, 2018 - aut.upt.ro
This paper presents model-free sliding mode controllers and Takagi-Sugeno fuzzy
controllers for the flux and conductivity control of Reverse Osmosis Desalination Plants …
controllers for the flux and conductivity control of Reverse Osmosis Desalination Plants …
New binary bat algorithm for solving 0–1 knapsack problem
This paper presents a novel binary bat algorithm (NBBA) to solve 0–1 knapsack problems.
The proposed algorithm combines two important phases: binary bat algorithm (BBA) and …
The proposed algorithm combines two important phases: binary bat algorithm (BBA) and …
A simplified binary harmony search algorithm for large scale 0–1 knapsack problems
As an important subset of combinatorial optimization, 0–1 knapsack problems, especially the
high-dimensional ones, are often difficult to solve. This study aims to provide a new …
high-dimensional ones, are often difficult to solve. This study aims to provide a new …
[PDF][PDF] Stable Takagi-Sugeno fuzzy control designed by optimization
This paper presents the design of Takagi-Sugeno fuzzy controllers in state feedback form
using swarm intelligence optimization algorithms. Three such algorithms are used: Particle …
using swarm intelligence optimization algorithms. Three such algorithms are used: Particle …
Solving large-scale multidimensional knapsack problems with a new binary harmony search algorithm
Harmony search (HS) is a meta-heuristic method that has been applied widely to continuous
optimization problems. In this study, a new binary coded version of HS, named NBHS, is …
optimization problems. In this study, a new binary coded version of HS, named NBHS, is …
A human learning optimization algorithm and its application to multi-dimensional knapsack problems
Inspired by human learning mechanisms, a novel meta-heuristic algorithm named human
learning optimization (HLO) is presented in this paper in which the individual learning …
learning optimization (HLO) is presented in this paper in which the individual learning …
Optimal tuning of fuzzy logic power system stabilizer using harmony search algorithm
In this paper, the design of fuzzy logic power system stabilizer (FPSS) is carried out using a
harmony search algorithm (HSA) to optimize the input–output scaling factors of the fuzzy …
harmony search algorithm (HSA) to optimize the input–output scaling factors of the fuzzy …
An improved adaptive human learning algorithm for engineering optimization
Human learning Optimization (HLO) is an emergent promising meta-heuristic algorithm
which uses the random learning operator, the individual learning operator, and the social …
which uses the random learning operator, the individual learning operator, and the social …