Recent advances in harris hawks optimization: A comparative study and applications
The Harris hawk optimizer is a recent population-based metaheuristics algorithm that
simulates the hunting behavior of hawks. This swarm-based optimizer performs the …
simulates the hunting behavior of hawks. This swarm-based optimizer performs the …
Harris hawk optimization: a survey onvariants and applications
BK Tripathy, PK Reddy Maddikunta… - Computational …, 2022 - Wiley Online Library
In this review, we intend to present a complete literature survey on the conception and
variants of the recent successful optimization algorithm, Harris Hawk optimizer (HHO), along …
variants of the recent successful optimization algorithm, Harris Hawk optimizer (HHO), along …
Harris hawks optimization algorithm: variants and applications
This paper introduces a comprehensive survey of a new swarm intelligence optimization
algorithm so-called Harris hawks optimization (HHO) and analyzes its major features. HHO …
algorithm so-called Harris hawks optimization (HHO) and analyzes its major features. HHO …
AI-based approach for optimal placement of EVCS and DG with reliability analysis
It is expected that future transport will rely on electric vehicles (EVs) due to their
sustainability and reduced greenhouse gas emissions. However, the rapid increase in …
sustainability and reduced greenhouse gas emissions. However, the rapid increase in …
An optimization planning framework for allocating multiple distributed energy resources and electric vehicle charging stations in distribution networks
In developing a sustainable and efficient power systems network while reducing carbon
footprint, renewable energy (RE)-based Distribution Generation (DG) units are highly …
footprint, renewable energy (RE)-based Distribution Generation (DG) units are highly …
A novel hybrid optimization-based algorithm for the single and multi-objective achievement with optimal DG allocations in distribution networks
Distribution networks are facing new challenges with the emergence of smart grids, such as
capacity limitations, voltage instability, and many others. These challenges can potentially …
capacity limitations, voltage instability, and many others. These challenges can potentially …
Stochastic optimal planning of distribution system considering integrated photovoltaic-based DG and DSTATCOM under uncertainties of loads and solar irradiance
Optimal planning of integration the Photovoltage Distributed Generation (PV-DG) and
DSTATCOM is a crucial task due to the stochastic variations of PV output power and the load …
DSTATCOM is a crucial task due to the stochastic variations of PV output power and the load …
A review of metaheuristic techniques for optimal integration of electrical units in distribution networks
The optimal integration of electrical units, such as distributed generation units, power
electronic devices, and electric vehicles, is a significant development of smart grids. This …
electronic devices, and electric vehicles, is a significant development of smart grids. This …
Optimal allocation and size of renewable energy sources as distributed generations using shark optimization algorithm in radial distribution systems
The need for energy has significantly increased in the world in recent years. Various
research works were presented to develop Renewable Energy Sources (RESs) as green …
research works were presented to develop Renewable Energy Sources (RESs) as green …
A hybrid Harris hawks-moth-flame optimization algorithm including fractional-order chaos maps and evolutionary population dynamics
This paper proposes a modified version of a contemporary metaheuristic named Harris
Hawks Optimizer (HHO) that mimics the foraging strategies used by Harris hawks. It is first …
Hawks Optimizer (HHO) that mimics the foraging strategies used by Harris hawks. It is first …