A review of indirect tool condition monitoring systems and decision-making methods in turning: Critical analysis and trends
The complex structure of turning aggravates obtaining the desired results in terms of tool
wear and surface roughness. The existence of high temperature and pressure make difficult …
wear and surface roughness. The existence of high temperature and pressure make difficult …
A comprehensive survey: artificial bee colony (ABC) algorithm and applications
Swarm intelligence (SI) is briefly defined as the collective behaviour of decentralized and
self-organized swarms. The well known examples for these swarms are bird flocks, fish …
self-organized swarms. The well known examples for these swarms are bird flocks, fish …
Artificial bee colony based algorithm for maximum power point tracking (MPPT) for PV systems operating under partial shaded conditions
Artificial bee colony (ABC) algorithm has several characteristics that make it more attractive
than other bio-inspired methods. Particularly, it is simple, it uses fewer control parameters …
than other bio-inspired methods. Particularly, it is simple, it uses fewer control parameters …
Artificial bee swarm optimization algorithm for parameters identification of solar cell models
A Askarzadeh, A Rezazadeh - Applied energy, 2013 - Elsevier
An accurate mathematical model is an extremely helpful tool for simulation, evaluation,
control, and optimization of solar cell systems. Due to the non-linearity of the solar cell …
control, and optimization of solar cell systems. Due to the non-linearity of the solar cell …
Artificial bee colony algorithm with variable search strategy for continuous optimization
The artificial bee colony (ABC) algorithm is a swarm-based optimization technique proposed
for solving continuous optimization problems. The artificial agents of the ABC algorithm use …
for solving continuous optimization problems. The artificial agents of the ABC algorithm use …
State of the art-intense review on artificial intelligence systems application in process planning and manufacturing
SPL Kumar - Engineering Applications of Artificial Intelligence, 2017 - Elsevier
Artificial Intelligence (AI) systems applications are widespread due to its domain
independent characteristics. In this work, an attempt has been made for review on AI …
independent characteristics. In this work, an attempt has been made for review on AI …
A review of the recent development in machining parameter optimization
The optimization process is applied to the machining operations in order to provide
continual improvement in accuracy and quality of produced parts. The effects of machining …
continual improvement in accuracy and quality of produced parts. The effects of machining …
On clarifying misconceptions when comparing variants of the artificial bee colony algorithm by offering a new implementation
Abstract Artificial Bee Colony (ABC) is a Swarm Intelligence algorithm that has obtained
meta-heuristic researchers' attention and favor over recent years. It comprises good balance …
meta-heuristic researchers' attention and favor over recent years. It comprises good balance …
Multi-strategy ensemble artificial bee colony algorithm
Artificial bee colony (ABC) is a recently proposed optimization technique which has shown
to be competitive to other population-based stochastic algorithms. However, ABC is good at …
to be competitive to other population-based stochastic algorithms. However, ABC is good at …
Artificial bee swarm optimization for optimum sizing of a stand-alone PV/WT/FC hybrid system considering LPSP concept
A Maleki, A Askarzadeh - Solar Energy, 2014 - Elsevier
This paper recommends a framework to optimally size a hybrid energy system based on
photovoltaic (PV) panels, wind turbines (WTs) and fuel cell (FC). For this aim, all the …
photovoltaic (PV) panels, wind turbines (WTs) and fuel cell (FC). For this aim, all the …