Natural fiber composites are a group of materials that have gained increasing attention in recent years due to their potential replace traditional various applications. However composite made up layers fibers and resin can separate from each other during drilling, leading delamination. This paper proposes multi-objective optimization approach for drilling natural composites, considering three k...

There exist some issues in current intrusion detection algorithms such as unbalanced detection performance on different types of attacks, and redundant or useless features that will lead to the complexity of detection model and degradation of detection accuracy. This paper presents an ensemble approach to intrusion detection based on improved multi-objective genetic algorithm. The algorithm gen...

The use of a suitable modeling technique for the optimized design magnetic gear is essential to simulate its electromagnetic behavior and predict satisfactory performance. This paper presents optimization an axial flux (AFMG) using two-dimensional (2D) equivalent circuit model (MEC) Multi-objective Genetic Algorithm (MOGA). proposed MEC configured as meshed reluctance network (RN) with permanen...

Twin rotor MIMO system (TRMS) are widely used in the aerospace application. TRMS consist of two rotors one is for the horizontal moment and other for the vertical moment. These two rotors are attached on a beam for the counter balance, which ensures the safety of the helicopter. For controlling the TRMS mechanical parts and electrical circuitry are used together. In this paper multi-objective g...

ABSTRACT: This study has demonstrated a design tool for turbulent flow detection in Flock 1 data using Multi-Objective Evolutionary Algorithm which based on Pareto optimal solutions. The Flock 1 data along the Suez Canal, Egypt and Farasan Islands, Saudi Arabia are involved in this study. The study also shows that Multi-Objective Evolutionary Algorithm provides an accurate pattern of turbulent ...

Neoteric phenomena such as climate change, scarce water availability and excessive fertilizer usage necessitate an augmentation of resource utilisation efficiencies in the agricultural sector. There is a need to reorient agroecosystems curb stress on environmental resources while meeting rising socio-economic objectives under changing hydro-climatic conditions. Considering this, optimal land al...

Abstract Edge computing extends traditional cloud services to the edge of network, closer users, and is suitable for network with low latency requirements. With rise computing, its security issues have also received increasing attention. In this paper, a novel two-phase cycle algorithm proposed effective cyber intrusion detection in based on multi-objective genetic (MOGA) modified back-propagat...

This paper focuses on multi-objective designing of multi-machine Thyristor Controlled Series Compensator (TCSC) using Strength Pareto Evolutionary Algorithm (SPEA). The TCSC parameters designing problem is converted to an optimization problem with the multi-objective function including the desired damping factor and the desired damping ratio of the power system modes, which is solved by a SPEA ...

Accurate photovoltaic (PV) power forecasting is crucial to achieving massive PV integration in several areas, which needed successfully reduce or eliminate carbon dioxide from energy sources. This paper deals with short-term multi-step forecasts used model-based predictive control for home management systems. By employing radial basis function (RBFs) artificial neural networks (ANN), designed u...