Swarm intelligence ≈ Swarm intelligence
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A novel swarm intelligence optimization approach: sparrow search algorithm Open
In this paper, a novel swarm optimization approach, namely sparrow search algorithm (SSA), is proposed inspired by the group wisdom, foraging and anti-predation behaviours of sparrows. Experiments on 19 benchmark functions are conducted to…
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Particle Swarm Optimization Algorithm and Its Applications: A Systematic Review Open
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 of Artificial Intelligence, is built on the intelligent c…
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Particle Swarm Optimization: A Comprehensive Survey Open
Particle swarm optimization (PSO) is one of the most well-regarded swarm-based algorithms in the literature. Although the original PSO has shown good optimization performance, it still severely suffers from premature convergence. As a resu…
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Artificial gorilla troops optimizer: A new nature‐inspired metaheuristic algorithm for global optimization problems Open
Metaheuristics play a critical role in solving optimization problems, and most of them have been inspired by the collective intelligence of natural organisms in nature. This paper proposes a new metaheuristic algorithm inspired by gorilla …
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A Review on Representative Swarm Intelligence Algorithms for Solving Optimization Problems: Applications and Trends Open
Swarm intelligence algorithms are a subset of the artificial intelligence (AI) field, which is increasing popularity in resolving different optimization problems and has been widely utilized in various applications. In the past decades, nu…
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Artificial Neural Networks Based Optimization Techniques: A Review Open
In the last few years, intensive research has been done to enhance artificial intelligence (AI) using optimization techniques. In this paper, we present an extensive review of artificial neural networks (ANNs) based optimization algorithm …
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Optimized flocking of autonomous drones in confined environments Open
A flocking model that uses an evolutionary optimization framework is validated with a self-organized swarm of 30 drones.
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A review on swarm intelligence and evolutionary algorithms for solving flexible job shop scheduling problems Open
10.1109/JAS.2019.1911540
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Particle Swarm Optimization: A Survey of Historical and Recent Developments with Hybridization Perspectives Open
Particle Swarm Optimization (PSO) is a metaheuristic global optimization paradigm that has gained prominence in the last two decades due to its ease of application in unsupervised, complex multidimensional problems that cannot be solved us…
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Swarm Robotic Behaviors and Current Applications Open
In swarm robotics multiple robots collectively solve problems by forming advantageous structures and behaviors similar to the ones observed in natural systems, such as swarms of bees, birds, or fish. However, the step to industrial applica…
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Swarm Intelligence Algorithms for Feature Selection: A Review Open
The increasingly rapid creation, sharing and exchange of information nowadays put researchers and data scientists ahead of a challenging task of data analysis and extracting relevant information out of data. To be able to learn from data, …
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Population size in Particle Swarm Optimization Open
Particle Swarm Optimization (PSO) is among the most universally applied population-based metaheuristic optimization algorithms. PSO has been successfully used in various scientific fields, ranging from humanities, engineering, chemistry, m…
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A Level-Based Learning Swarm Optimizer for Large-Scale Optimization Open
In pedagogy, teachers usually separate mixed-level students into different levels, treat them differently and teach them in accordance with their cognitive and learning abilities. Inspired from this idea, we consider particles in the swarm…
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UAV Swarm Intelligence: Recent Advances and Future Trends Open
The dynamic uncertain environment and complex tasks determine that the unmanned aerial vehicle (UAV) system is bound to develop towards clustering, autonomy, and intelligence. In this article, we present a comprehensive survey of UAV swarm…
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Bio-inspired computing: Algorithms review, deep analysis, and the scope of applications Open
Bio-inspired computing represents the umbrella of different studies of computer science, mathematics, and biology in the last years. Bio-inspired computing optimization algorithms is an emerging approach which is based on the principles an…
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The blockchain: a new framework for robotic swarm systems Open
Swarms of robots will revolutionize many industrial applications, from targeted material delivery to precision farming. However, several of the heterogeneous characteristics that make them ideal for certain future applications --- robot au…
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Grasshopper Optimization Algorithm: Theory, Variants, and Applications Open
Grasshopper Optimization Algorithm (GOA) is a recent swarm intelligence algorithm inspired by the foraging and swarming behavior of grasshoppers in nature. The GOA algorithm has been successfully applied to solve various optimization probl…
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Particle Swarm Optimisation: A Historical Review Up to the Current Developments Open
The Particle Swarm Optimisation (PSO) algorithm was inspired by the social and biological behaviour of bird flocks searching for food sources. In this nature-based algorithm, individuals are referred to as particles and fly through the sea…
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A review of energy-efficient scheduling in intelligent production systems Open
Recently, many manufacturing enterprises pay closer attention to energy efficiency due to increasing energy cost and environmental awareness. Energy-efficient scheduling of production systems is an effective way to improve energy efficienc…
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Crow Search Algorithm: Theory, Recent Advances, and Applications Open
In this article, a comprehensive overview of the Crow Search Algorithm (CSA) is introduced with detailed discussions, which is intended to keep researchers interested in swarm intelligence algorithms and optimization problems. CSA is a new…
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Binary Dragonfly Algorithm for Feature Selection Open
Wrapper feature selection methods aim to reduce the number of features from the original feature set to and improve the classification accuracy simultaneously. In this paper, a wrapper-feature selection algorithm based on the binary dragon…
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Sea Lion Optimization Algorithm Open
This paper suggests a new nature inspired metaheuristic optimization algorithm which is called Sea Lion Optimization (SLnO) algorithm. The SLnO algorithm imitates the hunting behavior of sea lions in nature. Moreover, it is inspired by sea…
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SEIR Modeling of the Italian Epidemic of SARS-CoV-2 Using Computational Swarm Intelligence Open
We applied a generalized SEIR epidemiological model to the recent SARS-CoV-2 outbreak in the world, with a focus on Italy and its Lombardy, Piedmont, and Veneto regions. We focused on the application of a stochastic approach in fitting the…
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Red-billed blue magpie optimizer: a novel metaheuristic algorithm for 2D/3D UAV path planning and engineering design problems Open
Numerical optimization, Unmanned Aerial Vehicle (UAV) path planning, and engineering design problems are fundamental to the development of artificial intelligence. Traditional methods show limitations in dealing with these complex nonlinea…
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Promising MPPT Methods Combining Metaheuristic, Fuzzy-Logic and ANN Techniques for Grid-Connected Photovoltaic Open
This paper addresses the improvement of tracking of the maximum power point upon the variations of the environmental conditions and hence improving photovoltaic efficiency. Rather than the traditional methods of maximum power point trackin…
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Reconnaissance Mission Conducted by UAV Swarms Based on Distributed PSO Path Planning Algorithms Open
Reconnaissance mission has a wide application in both civil and military fields, which provides intelligence and basis for the following decision-making to accomplish certain goals. Due to numerous advantages of UAV swarms such as strong f…
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A Comprehensive Survey of the Harmony Search Algorithm in Clustering Applications Open
The Harmony Search Algorithm (HSA) is a swarm intelligence optimization algorithm which has been successfully applied to a broad range of clustering applications, including data clustering, text clustering, fuzzy clustering, image processi…
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AdPSO: Adaptive PSO-Based Task Scheduling Approach for Cloud Computing Open
Cloud computing has emerged as the most favorable computing platform for researchers and industry. The load balanced task scheduling has emerged as an important and challenging research problem in the Cloud computing. Swarm intelligence-ba…
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Dragonfly Algorithm and Its Applications in Applied Science Survey Open
One of the most recently developed heuristic optimization algorithms is dragonfly by Mirjalili. Dragonfly algorithm has shown its ability to optimizing different real-world problems. It has three variants. In this work, an overview of the …
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A Survey of Using Swarm Intelligence Algorithms in IoT Open
With the continuing advancements in technologies (such as machine to machine, wireless telecommunications, artificial intelligence, and big data analysis), the Internet of Things (IoT) aims to connect everything for information sharing and…