Particle swarm optimization algorithm and its applications: a systematic review

AG Gad - Archives of computational methods in engineering, 2022 - Springer
Throughout the centuries, nature has been a source of inspiration, with much still to learn
from and discover about. Among many others, Swarm Intelligence (SI), a substantial branch …

[HTML][HTML] Artificial intelligence powered large-scale renewable integrations in multi-energy systems for carbon neutrality transition: Challenges and future perspectives

Z Liu, Y Sun, C **ng, J Liu, Y He, Y Zhou, G Zhang - Energy and AI, 2022 - Elsevier
The vigorous expansion of renewable energy as a substitute for fossil energy is the
predominant route of action to achieve worldwide carbon neutrality. However, clean energy …

Major advances in particle swarm optimization: theory, analysis, and application

EH Houssein, AG Gad, K Hussain… - Swarm and Evolutionary …, 2021 - Elsevier
Over the ages, nature has constantly been a rich source of inspiration for science, with much
still to discover about and learn from. Swarm Intelligence (SI), a major branch of artificial …

Evolutionary machine learning: A survey

A Telikani, A Tahmassebi, W Banzhaf… - ACM Computing …, 2021 - dl.acm.org
Evolutionary Computation (EC) approaches are inspired by nature and solve optimization
problems in a stochastic manner. They can offer a reliable and effective approach to address …

A survey of algorithms, applications and trends for particle swarm optimization

J Fang, W Liu, L Chen, S Lauria, A Miron, X Liu - 2023 - bura.brunel.ac.uk
Particle swarm optimization (PSO) is a popular heuristic method, which is capable of
effectively dealing with various optimization problems. A detailed overview of the original …

Ensemble classification and regression-recent developments, applications and future directions

Y Ren, L Zhang, PN Suganthan - IEEE Computational …, 2016 - ieeexplore.ieee.org
Ensemble methods use multiple models to get better performance. Ensemble methods have
been used in multiple research fields such as computational intelligence, statistics and …

[HTML][HTML] Emperor penguin optimizer: A comprehensive review based on state-of-the-art meta-heuristic algorithms

OW Khalid, NAM Isa, HAM Sakim - Alexandria Engineering Journal, 2023 - Elsevier
Meta heuristics is an optimization approach that works as an intelligent technique to solve
optimization problems. Evolutionary algorithms, human-based algorithms, physics-based …

Putting the “person” in the center: Review and synthesis of person-centered approaches and methods in organizational science

SE Woo, AT Jebb, L Tay… - Organizational Research …, 2018 - journals.sagepub.com
This article provides a review and synthesis of person-centered analytic (ie, clustering)
methods in organizational psychology with the aim of (a) placing them into an organizing …

Strategies based on various aspects of clustering in wireless sensor networks using classical, optimization and machine learning techniques: Review, taxonomy …

J Amutha, S Sharma, SK Sharma - Computer Science Review, 2021 - Elsevier
Abstract Wireless Sensor Networks (WSNs) have attracted various academic researchers,
engineers, science, and technology communities. This attraction is due to their broad …

HQCA-WSN: High-quality clustering algorithm and optimal cluster head selection using fuzzy logic in wireless sensor networks

AA Baradaran, K Navi - Fuzzy Sets and Systems, 2020 - Elsevier
Reducing the consumption of energy and the network lifetime are the main challenges that
affect wireless sensor networks (WSNs). High-quality clustering is one of the most important …