Smart machining process using machine learning: A review and perspective on machining industry
Abstract The Fourth Industrial Revolution incorporates the digital revolution into the physical
world, creating a new direction in a number of fields, including artificial intelligence, quantum …
world, creating a new direction in a number of fields, including artificial intelligence, quantum …
Particle swarm optimisation in designing parameters of manufacturing processes: A review (2008–2018)
TV Sibalija - Applied Soft Computing, 2019 - Elsevier
The evolutionary optimisation algorithms appeared as an effective alternative to
conventional statistical methods that have certain limitations in optimising complex …
conventional statistical methods that have certain limitations in optimising complex …
Hybridized machine-learning for prompt prediction of rheology and filtration properties of water-based drilling fluids
Careful design and preparation of drilling fluids with appropriate rheology and filtration
properties, combined with operational monitoring, is essential for successful drilling …
properties, combined with operational monitoring, is essential for successful drilling …
[HTML][HTML] Sustainable friction stir spot welding of 6061-T6 aluminium alloy using improved non-dominated sorting teaching learning algorithm
Abstract Swept Friction Stir Spot Welding is provoked and fascinated for its captive
performance in building space frame structures, ship buildings and panels of automotive …
performance in building space frame structures, ship buildings and panels of automotive …
Enhanced beetle antennae search with zeroing neural network for online solution of constrained optimization
This paper proposes a continuous-time enhanced variant of Beetle Antennae Search (BAS),
a metaheuristic algorithm that mimics the food searching nature of beetles. Beetles register …
a metaheuristic algorithm that mimics the food searching nature of beetles. Beetles register …
The architecture development of Industry 4.0 compliant smart machine tool system (SMTS)
As part of the fourth industrial revolution, the movement to apply various enabling
technologies under the name of Industry 4.0 is being promoted worldwide. Because of the …
technologies under the name of Industry 4.0 is being promoted worldwide. Because of the …
System reliability-redundancy optimization with cold-standby strategy by an enhanced nest cuckoo optimization algorithm
Three main ways can be followed to design for system reliability, namely component
reliability allocation, redundancy allocation (active or standby) and reliability-redundancy …
reliability allocation, redundancy allocation (active or standby) and reliability-redundancy …
Debris flows modeling using geo-environmental factors: developing hybridized deep-learning algorithms
Although the prediction of debris flow-prone areas represents a key step towards reducing
damages, modeling debris flow susceptibility is complicated. In addition, the role of debris …
damages, modeling debris flow susceptibility is complicated. In addition, the role of debris …
Cuckoo optimization algorithm with penalty function for combined heat and power economic dispatch problem
MA Mellal, EJ Williams - Energy, 2015 - Elsevier
The CHPED (combined heat and power economic dispatch) is a complex engineering
optimization problem. The goal is to minimize the system production costs by taking into …
optimization problem. The goal is to minimize the system production costs by taking into …
Response surface methodology integrated with desirability function and genetic algorithm approach for the optimization of CNC machining parameters
In this study, response surface method (RSM), desirability function (DF) and genetic
algorithm (GA) techniques were integrated to estimate optimal machining parameters that …
algorithm (GA) techniques were integrated to estimate optimal machining parameters that …