Crested Porcupine Optimizer: A new nature-inspired metaheuristic

M Abdel-Basset, R Mohamed… - Knowledge-Based Systems, 2024 - Elsevier
In this paper, a novel nature-inspired meta-heuristic known as Crested Porcupine Optimizer
(CPO) and inspired by various defensive behaviors of crested porcupine (CP) is proposed …

Chimp optimization algorithm

M Khishe, MR Mosavi - Expert systems with applications, 2020 - Elsevier
This paper proposes a novel metaheuristic algorithm called Chimp Optimization Algorithm
(ChOA) inspired by the individual intelligence and sexual motivation of chimps in their group …

[HTML][HTML] An investigation on hybrid particle swarm optimization algorithms for parameter optimization of PV cells

A Singh, A Sharma, S Rajput, A Bose, X Hu - Electronics, 2022 - mdpi.com
The demands for renewable energy generation are progressively expanding because of
environmental safety concerns. Renewable energy is power generated from sources that …

Particle swarm optimization variants for solving geotechnical problems: review and comparative analysis

AR Kashani, R Chiong, S Mirjalili… - Archives of Computational …, 2021 - Springer
Optimization techniques have drawn much attention for solving geotechnical engineering
problems in recent years. Particle swarm optimization (PSO) is one of the most widely used …

A novel metaheuristic MPPT technique based on enhanced autonomous group Particle Swarm Optimization Algorithm to track the GMPP under partial shading …

A Refaat, AE Khalifa, MM Elsakka, Y Elhenawy… - Energy Conversion and …, 2023 - Elsevier
In order to maximize the benefit of solar panels, it is crucial to enhance the operating
efficiency of PV systems. Usually, the PV arrays are exposed to harsh outdoor operating …

Evolutionary population dynamics and grey wolf optimizer

S Saremi, SZ Mirjalili, SM Mirjalili - Neural Computing and Applications, 2015 - Springer
Evolutionary population dynamics (EPD) deal with the removal of poor individuals in nature.
It has been proven that this operator is able to improve the median fitness of the whole …

PSOSCALF: A new hybrid PSO based on Sine Cosine Algorithm and Levy flight for solving optimization problems

SN Chegini, A Bagheri, F Najafi - Applied Soft Computing, 2018 - Elsevier
The development of the meta-heuristic algorithms for solving the optimization problems and
constrained engineering problems is one of the topics of interest to researchers in recent …

Manta ray foraging optimization based on mechanics game and progressive learning for multiple optimization problems

D Zhu, S Wang, C Zhou, S Yan - Applied Soft Computing, 2023 - Elsevier
Metaheuristic algorithms are currently being studied in depth by many scholars, and it is an
important task to improve the learning and adaptive capabilities of the algorithms so that …

A weighted chimp optimization algorithm

M Khishe, M Nezhadshahbodaghi, MR Mosavi… - IEEE …, 2021 - ieeexplore.ieee.org
These days, a sizable number of meta-heuristic algorithms are utilized to address many
problems with numerous variables and huge complexity. One of the most popular swarm …

A multi-strategy whale optimization algorithm and its application

W Yang, K **a, S Fan, L Wang, T Li, J Zhang… - … Applications of Artificial …, 2022 - Elsevier
Abstract Whale Optimization Algorithm (WOA) is a key tool for solving complex engineering
optimization problems, aiming at adjusting important parameters to satisfy constraints and …