Good path planning technology of mobile robot can not only save a lot of time, but also
reduce the wear and capital investment of mobile robot. Several methodologies have been …

The butterfly optimization algorithm (BOA) is a recent successful metaheuristic swarm-based
optimization algorithm. The BOA has attracted scholars' attention due to its extraordinary …

In this paper, binary variants of the Butterfly Optimization Algorithm (BOA) are proposed and
used to select the optimal feature subset for classification purposes in a wrapper-mode. BOA …

The design and development of a computer-based system for breast cancer detection are
largely reliant on feature selection techniques. These techniques are used to reduce the …

Abstract Internet of Things (IoT) is the efficient wireless communication in the modern era,
energy efficiency is the primary issue that focuses mainly on the Cognitive network. Most of …

Vibration-based damage detection methods have become widely used because of their
advantages over traditional methods. This paper presents a new approach to identify the …

Optimizing the high computational real-world problems is a challenging task that has taken a
great deal of efforts in the last decade. The meta-heuristic algorithms have brought countless …

Abstract The Moth Flame Optimization (MFO) algorithm shows decent performance results
compared to other meta-heuristic algorithms for tackling non-linear constrained global …

In order to solve the problem that the butterfly optimization algorithm (BOA) is prone to low
accuracy and slow convergence, the trend of study is to hybridize two or more algorithms to …

Energy efficiency is considered as the most potential issue in Wireless Sensor Networks
(WSNs), since they incorporate limited sized batteries that could not be recharged or …