A review of optimization techniques in metal cutting processes
In today's rapidly changing scenario in manufacturing industries, applications of optimization
techniques in metal cutting processes is essential for a manufacturing unit to respond …
techniques in metal cutting processes is essential for a manufacturing unit to respond …
Application of machine vision for tool condition monitoring and tool performance optimization–a review
Rapid tool wear is a major concern of the machining operation, affecting the tooling cost and
dimensional tolerance of the components. In line with Industry 4.0, rapid tool failure can be …
dimensional tolerance of the components. In line with Industry 4.0, rapid tool failure can be …
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 …
algorithm, is introduced for solving manufacturing optimization problems. This research is …
A novel chaotic Henry gas solubility optimization algorithm for solving real-world engineering problems
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 …
gas solubility optimization algorithm (HGSO). The new algorithm is named chaotic Henry …
Moth-flame optimization algorithm to determine optimal machining parameters in manufacturing processes
In this research, a newly developed moth-flame optimization algorithm (MFO) is presented
for solving optimization problems in manufacturing industry. A well-known milling …
for solving optimization problems in manufacturing industry. A well-known milling …
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 …
abilities of the resulting method. The purpose of this paper is to develop a novel hybrid …
The Harris hawks, grasshopper and multi-verse optimization algorithms for the selection of optimal machining parameters in manufacturing operations
In this research, the Harris hawks optimization algorithm (HHO), the grasshopper
optimization algorithm (GOA) and the multi-verse optimization algorithm (MVO) have been …
optimization algorithm (GOA) and the multi-verse optimization algorithm (MVO) have been …
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 …
algorithm and receptor editing property of immune system. The purpose of the present …
A novel particle swarm optimization approach for product design and manufacturing
AR Yıldız - The International Journal of Advanced Manufacturing …, 2009 - Springer
This paper presents a novel optimization approach that is a new hybrid optimization
approach based on the particle swarm optimization algorithm and receptor editing property …
approach based on the particle swarm optimization algorithm and receptor editing property …
A novel hybrid whale–Nelder–Mead algorithm for optimization of design and manufacturing problems
AR Yildiz - The International Journal of Advanced Manufacturing …, 2019 - Springer
This paper introduces a new hybrid optimization algorithm (HWOANM) based on the Nelder–
Mead local search algorithm (NM) and whale optimization algorithm (WOA). The aim of …
Mead local search algorithm (NM) and whale optimization algorithm (WOA). The aim of …