With the advancement of wireless communication technology, intelligent transportation system (ITS) has attracted attention vehicle companies and academic researchers. Recently, vehicular ad hoc networks (VANETs) as a leading genuine technology have received serious kind mobile network (MANET) to ensure safety vehicles, drivers, passengers. However, these face many challenges due mobility nodes,...

Abstract Many real-world problems demand optimization, minimization of costs and maximization profits, meta-heuristic algorithms have proficiently proved their ability to achieve optimum results. This study proposes an alternative algorithm Lévy Flight Distribution (LFD) by integrating Opposition-based learning (OBL) operator, termed LFD-OBL, for resolving intrinsic drawbacks the canonical LFD....

Segmentation is an important preprocessing step that directly affects the success in image processing applications. There are many methods and approaches used for segmentation process. Thresholding a frequently approach among these methods. several suggested to thresholding. In this study, six different thresholding were as fitness functions using moth flame algorithm results obtained from comp...

This work addresses an evolutionary algorithmic approach to reduce the surplus pieces in selective assembly increase success rates. A novel equal area amidst unequal bin numbers (EAUB) method is proposed for classifying parts of ball bearing by considering various tolerance ranges parts. The L16 orthogonal array used identifying effectiveness EAUB through varying number bins assembly. Because q...

This book describes applications of machine learning techniques to maximum power point tracking (MPPT), PV-cell design and sizing, hybridmodule modeling. parameter extraction estimation are proposed using moth–flame chaotic optimization or deterministic metaheuristic global algorithms. Neuro-fuzzy inference systems (ANFIS) a particle swarm optimization-artificial neural network model applied PV...

Abstract Nowadays, rapid product iterations result in large quantities of end-of-life products. To meet the fast-growing demand for remanufacturing engineering, companies have quickened standardization and industrialization waste dissembling. Two-sided disassembly lines can effectively disassemble large-sized products on both sides lines, parallel multiple simultaneously with fewer workstations...

The optimal power flow (OPF) is a practical problem in system with complex characteristics such as large number of control parameters and also multi-modal non-convex objective functions inequality nonlinear constraints. Thus, tackling the OPF becoming major priority for engineers researchers. Many metaheuristic algorithms different search strategies have been developed to solve problem. Althoug...