Human-inspired optimization algorithms: Theoretical foundations, algorithms, open-research issues and application for multi-level thresholding

R Rai, A Das, S Ray, KG Dhal - Archives of Computational Methods in …, 2022‏ - Springer
Humans take immense pride in their ability to be unpredictably intelligent and despite huge
advances in science over the past century; our understanding about human brain is still far …

Socio-inspired multi-cohort intelligence and teaching-learning-based optimization for hydraulic fracturing parameters design in tight formations

T Muther, FI Syed, AK Dahaghi… - Journal of Energy …, 2022‏ - asmedigitalcollection.asme.org
Hydraulic fracturing is one of the revolutionary technologies widely applied to develop tight
hydrocarbon reservoirs. Moreover, hydraulic fracture design optimization is an essential step …

Novel coupled genetic algorithm–machine learning approach for predicting surface roughness in fused deposition modeling of polylactic acid specimens

A Mishra, VS Jatti - Journal of Materials Engineering and Performance, 2024‏ - Springer
This research paper presents a novel approach to predicting the surface roughness of
polylactic acid (PLA) specimens manufactured using the additive manufacturing process …

LAB: a leader–advocate–believer-based optimization algorithm

R Reddy, AJ Kulkarni, G Krishnasamy, AS Shastri… - Soft Computing, 2023‏ - Springer
This manuscript introduces a new socio-inspired metaheuristic technique referred to as
leader–advocate–believer-based optimization algorithm (LAB) for engineering and global …

Modeling of the cutting front profile in abrasive water jet machining based on the energy balance approach

M Du, Y Guo, H Wang, H Dong, W Liang, H Wu… - Precision …, 2023‏ - Elsevier
High-speed abrasive water jet machining (AWJM) is a universal tool for manufacturing
engineering materials. However, the application of AWJM is greatly limited due to the jet lag …

Multi-objective optimization of greening scheduling problems of part feeding for mixed model assembly lines based on the robotic mobile fulfillment system

B Zhou, Z Zhu - Neural Computing and Applications, 2021‏ - Springer
Since greening scheduling problems are drawing increasing attention from researchers and
modern manufacturing enterprises, and the energy consumption is a substantial problem …

An energy-efficient optimization of the hard turning using rotary tool

TT Nguyen - Neural Computing and Applications, 2021‏ - Springer
The turning operation using a self-propelled rotary tool (SPRT) is efficient manufacturing for
hard machining. However, optimization-based energy saving of the rotary turning has not …

Optimization of process parameters for turning of titanium alloy (Grade II) in MQL environment using multi-CI algorithm

A Shastri, A Nargundkar, AJ Kulkarni… - SN Applied Sciences, 2021‏ - Springer
The advancement of materials science during the last few decades has led to the
development of many hard-to-machine materials, such as titanium, stainless steel, high …

[HTML][HTML] Parametric investigation of the effects of electrical discharge machining on plain D2 steel

A Hassan, RT Mushtaq, A Mashood Khan, S Anwar - Metals, 2023‏ - mdpi.com
Electrical discharge machining (EDM) has emerged as a pivotal non-conventional
production technique due to its unique capability to machine without the cutting tool's …

[HTML][HTML] Optimization of advanced manufacturing processes using socio inspired cohort intelligence algorithm

IR Kale, MA Pachpande, SP Naikwadi… - International Journal for …, 2022‏ - ijsmdo.org
The demand of Advanced Machining Processes (AMP) is continuously increasing owing to
the technological advancement. The problems based on AMP are complex in nature as it …