Purpose The purpose of this study is to provide the reader with a full study of the bat
algorithm, including its limitations, the fields that the algorithm has been applied, versatile …

The bat algorithm (BA) has been shown to be effective to solve a wider range of optimization
problems. However, there is not much theoretical analysis concerning its convergence and …

The shape optimization design of developable surface is a critical and intractable technique
in CAD/CAM and used in many manufacturing planning operations. In this paper, we study …

Reliability-based design optimization (RBDO) problems are important in engineering
applications, but it is challenging to solve such problems. In this study, a new resolution …

The bat algorithm (BA) is a population-based algorithm and it typically has good
convergence for solving many optimization problems. This chapter first introduces the …

When using the Cobb-Douglas (CD) production function to measure the contribution rate of
agricultural technological progress (ATP), it is necessary to estimate the output elasticity …

Bat algorithm (BA) is a powerful nature-inspired swarm algorithm which finds applicability to
a diverse range of problem domains. Though it is efficient, it suffers from two handicaps …

Aging of metal oxide surge arresters is mainly affected by the high electric stress near the
high voltage electrode. It has been observed that the distribution of voltage and electric field …

Clustering as an unsupervised learning method is a process of dividing a data object or
observation object into a subset, that is to classify the data through observation learning …

Abstract The Dandelion Algorithm (DA) is a recently proposed intelligent optimization
algorithm inspired by dandelion sowing. For enhancing its exploitation ability and speeding …