Bat algorithm (BA) is a bio-inspired algorithm developed by Xin-She Yang in 2010 and BA
has been found to be very efficient. As a result, the literature has expanded significantly in …

Nature-Inspired Optimization Algorithms, Second Edition provides an introduction to all
major nature-inspired algorithms for optimization. The book's unified approach, balancing …

In this paper, the chaotic bat algorithm (CBA) is applied to solve the optimal reactive power
dispatch (ORPD) problem taking into account small-scale, medium-scale and large-scale …

The development of technologies for the additive manufacturing, in particular of metallic
materials, is offering the possibility of producing parts with complex geometries. This opens …

This paper presents a maximum power point tracking (MPPT) method for photovoltaic
system under partial shading conditions using bat algorithm (BA). The bat algorithm is a …

In this paper, we focuses on the theoretical analysis on the convergence of the beetle
antennae search (BAS) algorithm. For the first time, we prove that the BAS algorithm is …

The area of metaheuristic optimization algorithms has been attracting researchers for many
years. These algorithms have built in capability to explore a large region of the solution …

Nature-Inspired Optimization Algorithms, a comprehensive work on the most popular
optimization algorithms based on nature, starts with an overview of optimization going from …

One-class support vector machine (OCSVM) is an efficient data-driven mineral prospectivity
mapping model. Since the parameters of OCSVM directly affect the performance of the …

Data mining has evolved from methods of simple statistical analysis to complex pattern
recognition in the past decades. During the progression, the data mining algorithms are …