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Meta-heuristic optimization algorithms for solving real-world mechanical engineering design problems: a comprehensive survey, applications, comparative analysis …
L Abualigah, MA Elaziz, AM Khasawneh… - Neural Computing and …, 2022 - Springer
Real-world engineering design problems are widespread in various research disciplines in
both industry and industry. Many optimization algorithms have been employed to address …
both industry and industry. Many optimization algorithms have been employed to address …
A systematic review of optimal planning and deployment of distributed generation and energy storage systems in power networks
D Zhang, GM Shafiullah, CK Das, KW Wong - Journal of Energy Storage, 2022 - Elsevier
Climate change is encouraging a growing interest worldwide to increase renewable
distributed generation (DG) integration into the power grid. DG is free from greenhouse gas …
distributed generation (DG) integration into the power grid. DG is free from greenhouse gas …
Random following ant colony optimization: Continuous and binary variants for global optimization and feature selection
X Zhou, W Gui, AA Heidari, Z Cai, G Liang… - Applied Soft Computing, 2023 - Elsevier
Continuous ant colony optimization was a population-based heuristic search algorithm
inspired by the pathfinding behavior of ant colonies with a simple structure and few control …
inspired by the pathfinding behavior of ant colonies with a simple structure and few control …
[HTML][HTML] Transit search: An optimization algorithm based on exoplanet exploration
M Mirrashid, H Naderpour - Results in Control and Optimization, 2022 - Elsevier
In this article, a novel astrophysics-inspired meta-heuristic optimization algorithm, namely
Transit Search (TS) is proposed based on a famous exoplanet exploration method. More …
Transit Search (TS) is proposed based on a famous exoplanet exploration method. More …
A novel reconstruction method for temperature distribution measurement based on ultrasonic tomography
B Zhu, Q Zhong, Y Chen, S Liao, Z Li… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The precise temperature distribution measurement is crucial in many industrial fields, where
ultrasonic tomography (UT) has broad application prospects and significance. In order to …
ultrasonic tomography (UT) has broad application prospects and significance. In order to …
Optimal placement of distributed generation and distributed automation in the distribution grid based on operation, reliability, and economic objective of distribution …
S Pirouzi, M Zadehbagheri, S Behzadpoor - Electrical Engineering, 2024 - Springer
This paper presents the formulation of the simultaneous planning of distributed generations
(DGs) and automatic distribution according to the goals of reliability, operation, and …
(DGs) and automatic distribution according to the goals of reliability, operation, and …
Distribution network reconfiguration with distributed generation based on parallel slime mould algorithm
This paper proposes a solution for the distribution network reconfiguration (DNR) problem
with distributed generation (DG) based on the parallel slime mould algorithm (PSMA). Firstly …
with distributed generation (DG) based on the parallel slime mould algorithm (PSMA). Firstly …
Opposition-based learning equilibrium optimizer with Levy flight and evolutionary population dynamics for high-dimensional global optimization problems
The equilibrium optimizer (EO) is a recently proposed physics-based metaheuristic
algorithm inspired by the dynamic mass balance on a control volume. However, EO may …
algorithm inspired by the dynamic mass balance on a control volume. However, EO may …
A self-adaptive quantum equilibrium optimizer with artificial bee colony for feature selection
Feature selection (FS) is a popular data pre-processing technique in machine learning to
extract the optimal features to maintain or increase the classification accuracy of the dataset …
extract the optimal features to maintain or increase the classification accuracy of the dataset …
[HTML][HTML] An improved metaheuristic method for simultaneous network reconfiguration and distributed generation allocation
A new chaotic search group algorithm (CSGA) is proposed in this study for simultaneous
network reconfiguration and allocation of distributed generation (SNR-DG) problem with the …
network reconfiguration and allocation of distributed generation (SNR-DG) problem with the …