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 …

In this paper, a wide literature review of soft computing methods in conventional machining
processes of metal matrix composites is carried out. The tool wear, cutting force along with …

In this research, a new optimization algorithm, called the cuckoo search algorithm (CS)
algorithm, is introduced for solving manufacturing optimization problems. This research is …

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 …

In this research, a newly developed moth-flame optimization algorithm (MFO) is presented
for solving optimization problems in manufacturing industry. A well-known milling …

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 …

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 …

This paper presents a new hybrid optimization approach based on immune algorithm and
hill climbing local search algorithm. The purpose of the present research is to develop a new …

Optimization of cutting parameters is valuable in terms of providing high precision and
efficient machining. Optimization of machining parameters for milling is an important step to …

The focus of this research is on a hybrid method combining immune algorithm with a hill
climbing local search algorithm for solving complex real-world optimization problems. The …