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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 …
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
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 …
predominant route of action to achieve worldwide carbon neutrality. However, clean energy …
Major advances in particle swarm optimization: theory, analysis, and application
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 …
still to discover about and learn from. Swarm Intelligence (SI), a major branch of artificial …
Evolutionary machine learning: A survey
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 …
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
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 …
effectively dealing with various optimization problems. A detailed overview of the original …
Ensemble classification and regression-recent developments, applications and future directions
Ensemble methods use multiple models to get better performance. Ensemble methods have
been used in multiple research fields such as computational intelligence, statistics and …
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
Meta heuristics is an optimization approach that works as an intelligent technique to solve
optimization problems. Evolutionary algorithms, human-based algorithms, physics-based …
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
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 …
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 …
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
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 …
affect wireless sensor networks (WSNs). High-quality clustering is one of the most important …