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Swarm intelligence based algorithms: a critical analysis [PDF]
Evolutionary Intelligence, 2013 Many optimization algorithms have been developed by drawing inspiration from swarm intelligence (SI). These SI-based algorithms can have some advantages over traditional algorithms. In this paper, we carry out a critical analysis of these SI-based algorithms by analyzing their ways to mimic evolutionary operators.
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Paillier Homomorphic Encryption Based Location Privacy Protection Scheme for Crowdsensing Task Distribution [PDF]
Jisuanji kexue yu tansuo, 2022 In order to solve the problem that applicants, publishers and authorized agencies can know the location privacy of each other in the process of task publication of swarm intelligence, based on the homomorphism of Paillier public key cryptosystem, an ...
TIAN Jing, DU Yunming, LI Shuai, LIU Yi
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Swarm Intelligence Application to UAV Aided IoT Data Acquisition Deployment Optimization
IEEE Access, 2020 It is feasible and safe to use unmanned aerial vehicle (UAV) as the data collection platform of the Internet of things (IoT). In order to save the energy loss of the platform and make the UAV perform the collection work effectively, it is necessary to ...
Elin Chen +5 more
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A Quantum-Based Beetle Swarm Optimization Algorithm for Numerical Optimization
Applied Sciences, 2023 The beetle antennae search (BAS) algorithm is an outstanding representative of swarm intelligence algorithms. However, the BAS algorithm still suffers from the deficiency of not being able to handle high-dimensional variables.
Lin Yu, Jieqi Ren, Jie Zhang
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Sensors, 2019 Wireless sensor networks, as an emerging paradigm of networking and computing, have applications in diverse fields such as medicine, military, environmental control, climate forecasting, surveillance, etc.
Ivana Strumberger +3 more
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An improved spider optimization algorithm coordinated by pheromones
Scientific Reports, 2022 Swarm intelligence algorithm is an important evolutionary computation method that optimizes the objective function by imitating the behaviors of various organisms in nature.
Siling Feng +3 more
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A Hybrid Artificial Grasshopper Optimization (HAGOA) Meta-Heuristic Approach: A Hybrid Optimizer For Discover the Global Optimum in Given Search Space [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2019 Meta-heuristic algorithms are used to get optimal solutions in different engineering branches. Here four types of meta-heuristics algorithms are used such as evolutionary algorithms, swarm-based algorithms, physics based algorithms and human based ...
Brahm Prakash Dahiya +2 more
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MATEC Web of Conferences, 2018 The intelligent recommendation ability of social networks is improved, a hybrid recommendation algorithm is proposed based on swarm intelligence for users' potential features in social networks.
Lu Xing-Hua +3 more
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Swarm Intelligence Algorithms in Bioinformatics [PDF]
, 2008 Research in bioinformatics necessitates the use of advanced computing tools for processing huge amounts of ambiguous and uncertain biological data. Swarm Intelligence (SI) has recently emerged as a family of nature inspired algorithms, especially known for their ability to produce low cost, fast and reasonably accurate solutions to complex search ...
Swagatam Das, Ajith Abraham, Amit Konar
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A Survey of Using Swarm Intelligence Algorithms in IoT [PDF]
Sensors, 2020 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 intelligent decision-making. Swarm intelligence (SI) provides the possibility of SI behavior through collaboration
Weifeng Sun 0002 +4 more
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