A review of the recent development in machining parameter optimization

M Soori, M Asmael - Jordan Journal of Mechanical and Industrial …, 2022 - hal.science
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 …

Application of soft computing techniques in machining performance prediction and optimization: a literature review

M Chandrasekaran, M Muralidhar, CM Krishna… - … International Journal of …, 2010 - Springer
Machining is one of the most important and widely used manufacturing processes. Due to
complexity and uncertainty of the machining processes, of late, soft computing techniques …

A novel hybrid arithmetic optimization algorithm for solving constrained optimization problems

BS Yıldız, S Kumar, N Panagant, P Mehta… - Knowledge-Based …, 2023 - Elsevier
The present study aims to optimize the engineering design and manufacturing problems
with a novel hybrid optimizer named: AOA-NM (Arithmetic optimization-Nelder mead). To …

Cuckoo search algorithm for the selection of optimal machining parameters in milling operations

AR Yildiz - The International Journal of Advanced Manufacturing …, 2013 - Springer
In this research, a new optimization algorithm, called the cuckoo search algorithm (CS)
algorithm, is introduced for solving manufacturing optimization problems. This research is …

A new hybrid Harris hawks-Nelder-Mead optimization algorithm for solving design and manufacturing problems

AR Yıldız, BS Yıldız, SM Sait, S Bureerat… - Materials Testing, 2019 - degruyter.com
In this paper, a novel hybrid optimization algorithm (H-HHONM) which combines the Nelder-
Mead local search algorithm with the Harris hawks optimization algorithm is proposed for …

A novel chaotic Henry gas solubility optimization algorithm for solving real-world engineering problems

BS Yıldız, N Pholdee, N Panagant, S Bureerat… - Engineering with …, 2021 - Springer
The paper proposes a novel metaheuristic based on integrating chaotic maps into a Henry
gas solubility optimization algorithm (HGSO). The new algorithm is named chaotic Henry …

Hybrid Taguchi-differential evolution algorithm for optimization of multi-pass turning operations

AR Yildiz - Applied Soft Computing, 2013 - Elsevier
Hybridizing of the optimization algorithms provides a scope to improve the searching
abilities of the resulting method. The purpose of this paper is to develop a novel hybrid …

Moth-flame optimization algorithm to determine optimal machining parameters in manufacturing processes

BS Yıldız, AR Yıldız - Materials Testing, 2017 - degruyter.com
In this research, a newly developed moth-flame optimization algorithm (MFO) is presented
for solving optimization problems in manufacturing industry. A well-known milling …

A new hybrid differential evolution algorithm for the selection of optimal machining parameters in milling operations

AR Yildiz - Applied Soft Computing, 2013 - Elsevier
This paper presents a novel hybrid optimization approach based on differential evolution
algorithm and receptor editing property of immune system. The purpose of the present …

The Harris hawks, grasshopper and multi-verse optimization algorithms for the selection of optimal machining parameters in manufacturing operations

AR Yıldız, BS Yıldız, SM Sait, X Li - Materials Testing, 2019 - degruyter.com
In this research, the Harris hawks optimization algorithm (HHO), the grasshopper
optimization algorithm (GOA) and the multi-verse optimization algorithm (MVO) have been …