Chaotic marine predators algorithm for global optimization of real-world engineering problems

S Kumar, BS Yildiz, P Mehta, N Panagant… - Knowledge-Based …, 2023 - Elsevier
A novel metaheuristic called Chaotic Marine Predators Algorithm (CMPA) is proposed and
investigated for the optimization of engineering problems. CMPA integrates the exploration …

Energy efficiency of machining operations: A review

M Moradnazhad, HO Unver - Proceedings of the Institution of …, 2017 - journals.sagepub.com
Manufacturing processes are among the most energy intensive on earth. As negative
ecological and economic impacts increase, reducing energy consumption is becoming …

Development of process performance simulator (PPS) and parametric optimization for sustainable machining considering carbon emission, cost and energy aspects

AM Khan, L Liang, M Mia, MK Gupta, Z Wei… - … and Sustainable Energy …, 2021 - Elsevier
The manufacturing industries consume one-third of global energy. Intensive use of electrical
energy in industries provides the researchers and experts strong reasons to develop and …

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 …

A comparative study of population-based optimization algorithms for turning operations

AR Yildiz - Information Sciences, 2012 - Elsevier
In manufacturing industry, turning operations are used to remove unwanted sections of a
part to obtain the final product. In this paper a comparison of state-of-the-art optimization …