This paper proposes a novel approach called the Harris’s Hawk Multi-Objective Optimizer (HHMO), which is used for solving reference point multi-objective problems. This algorithm is based on the grey wolf multi-objective optimization algorithm and motivated by the cooperative hunting behaviors of the Harris’s Hawk. These hawks are known as the wolf pack of the sky. The hunting party consists of...

This study demonstrates how to use grid-connected hybrid PV and biogas energy with a SMES-PHES storage system in nation frequent grid outages. The primary goal of this work is enhance the HRES’s capacity favorably influence economic viability, reliability, environmental impact. net present cost (NPC), greenhouse gas (GHG) emissions, likelihood power outage are among variables that examined. A m...

Grey Wolf Optimizer (GWO) is a nature-inspired swarm intelligence algorithm that mimics the hunting behavior of grey wolves. GWO, in its basic form, real coded needs modifications to deal with binary optimization problems. In this paper, previous work on binarization GWO are reviewed, and classified respect their encoding scheme, updating strategy, transfer function. Then, we propose novel (nam...

The computation of image segmentation has become more complicated with the increasing number of thresholds, and the option and application of the thresholds in image thresholding fields have become an NP problem at the same time. The paper puts forward the modified discrete grey wolf optimizer algorithm (MDGWO), which improves on the optimal solution updating mechanism of the search agent by th...

This paper addresses a problem of a continuous path planning of a redundant manipulator where an end-effector needs to follow a desired path. Based on a geometrical analysis, feasible postures of a self-motion are mapped into an interval so that there will be an angle domain boundary and a redundancy resolution to track the desired path lies within this boundary. To choose a best solution among...

Consider an increasingly growing field of research, Brain-Computer Interface (BCI) is to form a direct channel communication between computer and the brain. However, extracting features random time-varying EEG signals their classification major challenge that faces current BCI. This paper proposes modified grey wolf optimizer (MGWO) can select optimal channels be used in (BCIs), way identifies ...