A comprehensive review of control strategies and optimization methods for individual and community microgrids

N Salehi, H Martínez-García, G Velasco-Quesada… - IEEE …, 2022 - ieeexplore.ieee.org
Community Microgrid offers effective energy harvesting from distributed energy resources
and efficient energy consumption by employing an energy management system (EMS) …

[HTML][HTML] A review on microgrid optimization with meta-heuristic techniques: Scopes, trends and recommendation

A Akter, EI Zafir, NH Dana, R Joysoyal, SK Sarker… - Energy Strategy …, 2024 - Elsevier
Microgrids (MGs) use renewable sources to meet the growing demand for energy with
increasing consumer needs and technological advancement. They operate independently …

RUN beyond the metaphor: An efficient optimization algorithm based on Runge Kutta method

I Ahmadianfar, AA Heidari, AH Gandomi, X Chu… - Expert Systems with …, 2021 - Elsevier
The optimization field suffers from the metaphor-based “pseudo-novel” or “fancy” optimizers.
Most of these cliché methods mimic animals' searching trends and possess a small …

Hunger games search: Visions, conception, implementation, deep analysis, perspectives, and towards performance shifts

Y Yang, H Chen, AA Heidari, AH Gandomi - Expert Systems with …, 2021 - Elsevier
A recent set of overused population-based methods have been published in recent years.
Despite their popularity, most of them have uncertain, immature performance, partially done …

The colony predation algorithm

J Tu, H Chen, M Wang, AH Gandomi - Journal of Bionic Engineering, 2021 - Springer
This paper proposes a new stochastic optimizer called the Colony Predation Algorithm
(CPA) based on the corporate predation of animals in nature. CPA utilizes a mathematical …

Orthogonal learning covariance matrix for defects of grey wolf optimizer: Insights, balance, diversity, and feature selection

J Hu, H Chen, AA Heidari, M Wang, X Zhang… - Knowledge-Based …, 2021 - Elsevier
This research's genesis is in two aspects: first, a guaranteed solution for mitigating the grey
wolf optimizer's (GWO) defect and deficiencies. Second, we provide new open-minding …

Resource allocation in 5G IoV architecture based on SDN and fog-cloud computing

B Cao, Z Sun, J Zhang, Y Gu - IEEE transactions on intelligent …, 2021 - ieeexplore.ieee.org
In the traditional cloud-based Internet of Vehicles (IoV) architecture, it is difficult to guarantee
the low latency requirements of the current intelligent transportation system (ITS). As a …

Double adaptive weights for stabilization of moth flame optimizer: Balance analysis, engineering cases, and medical diagnosis

W Shan, Z Qiao, AA Heidari, H Chen… - Knowledge-Based …, 2021 - Elsevier
Moth flame optimization (MFO) is a swarm-based algorithm with mediocre performance and
marginal originality proposed in recent years. It tried to simulate the fantasy navigation mode …

Evolutionary biogeography-based whale optimization methods with communication structure: Towards measuring the balance

J Tu, H Chen, J Liu, AA Heidari, X Zhang… - Knowledge-Based …, 2021 - Elsevier
Abstract Whale Optimization Algorithm (WOA) is a popular swarm-based algorithm with
some spotted defects in its generated patterns during the searching phases. In this study, an …

Ant colony optimization with horizontal and vertical crossover search: Fundamental visions for multi-threshold image segmentation

D Zhao, L Liu, F Yu, AA Heidari, M Wang… - Expert Systems with …, 2021 - Elsevier
The ant colony optimization (ACO) is the most exceptionally fundamental swarm-based
solver for realizing discrete problems. In order to make it also suitable for solving continuous …