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A novel approach to CNC machining center processing parameters optimization considering energy-saving and low-cost
NC machining is currently a machining method widely used in mechanical manufacturing
systems. Reasonable selection of process parameters can significantly reduce the …
systems. Reasonable selection of process parameters can significantly reduce the …
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 …
Development of process performance simulator (PPS) and parametric optimization for sustainable machining considering carbon emission, cost and energy aspects
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 …
energy in industries provides the researchers and experts strong reasons to develop and …
A new hybrid Harris hawks-Nelder-Mead optimization algorithm for solving design and manufacturing problems
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 …
Mead local search algorithm with the Harris hawks optimization algorithm is proposed for …
Multi-objective optimization of vehicle crashworthiness using a new particle swarm based approach
Vehicle crashworthiness is an important issue to ensure passengers safety and reduce
vehicle costs in the early design stage of vehicle design. The aim of the crashworthiness …
vehicle costs in the early design stage of vehicle design. The aim of the crashworthiness …
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 …
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 …
Tool deflection error of three-axis computer numerical control milling machines, monitoring and minimizing by a virtual machining system
Virtual manufacturing systems carry out the simulation of manufacturing processes in digital
environment in order to increase accuracy as well as productivity in part production. There …
environment in order to increase accuracy as well as productivity in part production. There …
A new hybrid artificial bee colony algorithm for robust optimal design and manufacturing
AR Yildiz - Applied Soft Computing, 2013 - Elsevier
The purpose of this paper is to develop a novel hybrid optimization method (HRABC) based
on artificial bee colony algorithm and Taguchi method. The proposed approach is applied to …
on artificial bee colony algorithm and Taguchi method. The proposed approach is applied to …