A systematic review of the whale optimization algorithm: theoretical foundation, improvements, and hybridizations

MH Nadimi-Shahraki, H Zamani… - … Methods in Engineering, 2023 - Springer
Despite the simplicity of the whale optimization algorithm (WOA) and its success in solving
some optimization problems, it faces many issues. Thus, WOA has attracted scholars' …

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 …

Coronavirus herd immunity optimizer with greedy crossover for feature selection in medical diagnosis

M Alweshah, S Alkhalaileh, MA Al-Betar… - Knowledge-Based …, 2022 - Elsevier
The importance of medical data and the crucial nature of the decisions that are based on
such data, as well as the large increase in its volume, has encouraged researchers to …

[图书][B] Cognitive science: an introduction to the study of mind

J Friedenberg, G Silverman, MJ Spivey - 2021 - books.google.com
Cognitive Science provides a comprehensive and up-to-date introduction to the study of the
mind. The authors examine the mind from the perspective of different fields, including …

A bio-inspired method for mathematical optimization inspired by arachnida salticidade

H Peraza-Vazquez, A Peña-Delgado, P Ranjan… - Mathematics, 2021 - mdpi.com
This paper proposes a new meta-heuristic called Jumping Spider Optimization Algorithm
(JSOA), inspired by Arachnida Salticidae hunting habits. The proposed algorithm mimics the …

Machine learning approach for short-term load forecasting using deep neural network

MA Alotaibi - Energies, 2022 - mdpi.com
Power system demand forecasting is a crucial task in the power system engineering field.
This is due to the fact that most system planning and operation activities basically rely on …

An improved golden jackal optimization algorithm using opposition-based learning for global optimization and engineering problems

S Mohapatra, P Mohapatra - International Journal of Computational …, 2023 - Springer
Abstract Golden Jackal Optimization (GJO) is a recently developed nature-inspired algorithm
that is motivated by the collaborative hunting behaviours of the golden jackals in nature …

Teaching–learning-based optimization algorithm applied in electronic engineering: A survey

KY Gómez Díaz, SE De León Aldaco… - Electronics, 2022 - mdpi.com
This paper presents a survey of the articles published in the period 2013–2021 related to the
application of the teaching–learning-based optimization (TLBO), which reproduces the …

Reinforcement learning-based modified cuckoo search algorithm for economic dispatch problems

W Luo, X Yu - Knowledge-Based Systems, 2022 - Elsevier
One of the crucial tasks of social development is carbon neutrality, which is mainly due to the
emission of greenhouse gases. However, thermal power, which produces plenty of harmful …

Ladybug Beetle Optimization algorithm: application for real-world problems

S Safiri, A Nikoofard - The Journal of Supercomputing, 2023 - Springer
In this paper, a novel optimization algorithm is proposed, called the Ladybug Beetle
Optimization (LBO) algorithm, which is inspired by the behavior of ladybugs in nature when …