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Particle Swarm Optimization: A Survey of Historical and Recent Developments with Hybridization Perspectives

Saptarshi Sengupta, Sanchita Basak, Richard Peters
2018 Machine Learning and Knowledge Extraction  

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2018 pre-print arXiv:1804.05319v1 fatcat:wnvmathlqzcf7kp2uvfxtrstae

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2019 accepted
arXiv:1804.05319v2 fatcat:in4il2vcnbethdgn47br5jmnny
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  ...  Hybridization attempts with other evolutionary and swarm paradigms in selected applications are covered and an up-to-date review is put forward for the interested reader.  ...  Niknam and Amiri [107] combined a fuzzy adaptive Particle Swarm Optimization, Ant Colony Optimization and the K-Means algorithm for clustering analysis over a number of benchmark datasets and obtained  ... 
doi:10.3390/make1010010 fatcat:ue65xvqyk5hovlzo6gzok524pm
DOAJ Multiple Versions
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Saptarshi Sengupta, Sanchita Basak, Richard Peters. "Particle Swarm Optimization: A Survey of Historical and Recent Developments with Hybridization Perspectives." Machine Learning and Knowledge Extraction 1.1 (2018) 157-191

Analysis of Population Based Metaheuristic Used for Gene Clustering

Arpit Jain, Shikha Agrawal, Jitendra Agrawal, Sanjeev Sharma
2013 International Journal of Computer and Communication Engineering  

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The two most popular population based globalized search algorithms Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) are used for clustering gene expression data but the main drawback of these  ...  So the PSO and GA has been hybridized with several other methods, to overcome the local optima problem. This paper presents a literature survey of both GA and PSO's application in Gene Clustering.  ...  ACKNOWLEDGMENT The authors would like to thank the anonymous reviewers for their detailed, valuable comments and constructive suggestions.  ... 
doi:10.7763/ijcce.2013.v2.164 fatcat:zj4oxbfivfdchfktrjq2dwxtte
Citation

Arpit Jain, Shikha Agrawal, Jitendra Agrawal, Sanjeev Sharma. "Analysis of Population Based Metaheuristic Used for Gene Clustering." International Journal of Computer and Communication Engineering (2013) 174-178

A REVIEW OF ARTIFICIAL FISH SWARM OPTIMIZATION METHODS AND APPLICATIONS

Mehdi Neshat, Ali Adeli, Ghodrat Sepidnam, Mehdi Sargolzaei, Adel Najaran Toosi
2012 International Journal on Smart Sensing and Intelligent Systems  

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the AFSA algorithm, its evolution stages from the start point up to now, improvements and applications in various fields like optimization, control, image processing, data mining, improving neural networks  ...  The Swarm Intelligence is a new and modern method employed in optimization problems.  ...  AHSN-AFSAThe adaptive hybrid sequences niche artificial fish swarm algorithm (AHSN-AFSA) is introduced, and study on how to apply the algorithm to solve the vehicle routing problem.  ... 
doi:10.21307/ijssis-2017-474 fatcat:z3mlrntshjfafndeh7s5ta6yum
DOAJ
Citation

Mehdi Neshat, Ali Adeli, Ghodrat Sepidnam, Mehdi Sargolzaei, Adel Najaran Toosi. "A REVIEW OF ARTIFICIAL FISH SWARM OPTIMIZATION METHODS AND APPLICATIONS." International Journal on Smart Sensing and Intelligent Systems 5.1 (2012) 108-148

2010 Index IEEE Transactions on Evolutionary Computation Vol. 14

2010 IEEE Transactions on Evolutionary Computation  

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., +, TEVC Dec. 2010 959-974 Erratum to "Niching Without Niching Parameters: Particle Swarm Optimization Using a Ring Topology" [Feb 10 150-169].  ...  J., +, TEVC Aug. 2010 618-635 Niching Without Niching Parameters: Particle Swarm Optimization Using a Ring Topology.  ... 
doi:10.1109/tevc.2010.2097050 fatcat:qhxnf2o62bd3xmxsfyd5fb37ym
Citation

"2010 Index IEEE Transactions on Evolutionary Computation Vol. 14." IEEE Transactions on Evolutionary Computation 14.6 (2010) 1005-1012

Applications of Energy Aware Routing Protocols in WSN

G Sumalatha, P Anil
2016 Oriental journal of computer science and technology  

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In past a lot of cluster based algorithm and techniques were used.  ...  In this paper we also find out all type of PSO based algorithm, their application and limitation over present techniques to overcome the problems of low energy and coverage of sensor range.  ...  Efficient Node Partition Clustering protocol using Niching Particle Swarm Optimization (ENPC-NPSO) Niching is an impor tant multimodal optimization technique.  ... 
doi:10.13005/ojcst/9.01.05 fatcat:mk7whgiijzdpvehes4uz246im4
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G Sumalatha, P Anil. "Applications of Energy Aware Routing Protocols in WSN." Oriental journal of computer science and technology 9.1 (2016) 24-29

Particle Swarm Optimization: A Study of Variants and Their Applications

Ashok Kumar, Brajesh Kumar, B. D.
2016 International Journal of Computer Applications  

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In order to improve the performance of PSO algorithm, number of its variants has been made. This paper presents detail overview of the basic concepts of PSO and its variants.  ...  Many variants of PSO have been developed due to improved speed of convergence and quality of solution found by Researchers. The Applications of PSO in Complex Environments is discussed.  ...  The niche concept is also applied in many variants of PSO, such as Adaptive Sequential Niche Particle Swarm Optimization (ASNPSO) [31] , PVPSO (parallel vector-based particle swarm optimizer) [26] .  ... 
doi:10.5120/ijca2016908406 fatcat:op5wya2wa5e2xefeqftfajvdda
Citation

Ashok Kumar, Brajesh Kumar, B. D.. "Particle Swarm Optimization: A Study of Variants and Their Applications." International Journal of Computer Applications 135.5 (2016) 24-30

Seeking Multiple Solutions: An Updated Survey on Niching Methods and Their Applications

Xiaodong Li, Michael G. Epitropakis, Kalyanmoy Deb, Andries Engelbrecht
2017 IEEE Transactions on Evolutionary Computation  

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A list of successful applications of niching methods to real-world problems is provided to demonstrate that niching methods are able to provide solutions that are difficult for conventional optimization  ...  , clustering, feature selection, and learning ensembles) tasks.  ...  ACKNOWLEDGMENT The authors would like to thank anonymous reviewers for their constructive comments which have greatly improved the quality of this paper.  ... 
doi:10.1109/tevc.2016.2638437 fatcat:7ol4ecd35bfjvkn6mujx37uocu
Citation

Xiaodong Li, Michael G. Epitropakis, Kalyanmoy Deb, Andries Engelbrecht. "Seeking Multiple Solutions: An Updated Survey on Niching Methods and Their Applications." IEEE Transactions on Evolutionary Computation 21.4 (2017) 518-538

Self-adaptive differential particle swarm using a ring topology for multimodal optimization

Gonzalo Napoles, Isel Grau, Rafael Bello, Rafael Falcon, Ajith Abraham
2013 2013 13th International Conference on Intellient Systems Design and Applications  

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Recently, it was demonstrated that particle swarm optimization (PSO) using a ring topology for neighborhood definition can give rise to robust and parameterless niching methods.  ...  During the last couple of decades, evolutionary and swarm intelligence algorithms have significantly advanced the state of the art for both discrete and numerical optimization.  ...  PARTICLE SWARM OPTIMIZATION PSO is an effective and robust global search method for solving challenging numerical optimization problems.  ... 
doi:10.1109/isda.2013.6920430 dblp:conf/isda/NapolesGBFA13 fatcat:zt6bpsxaczhltbhczbqizbxjle
Citation

Gonzalo Napoles, Isel Grau, Rafael Bello, Rafael Falcon, Ajith Abraham. "Self-adaptive differential particle swarm using a ring topology for multimodal optimization." 2013 13th International Conference on Intellient Systems Design and Applications (2013) 35-40

The Optimization of Feature Selection Based on Chaos Clustering Strategy and Niche Particle Swarm Optimization

Longzhen Duan, Shuqing Yang, Dongbo Zhang
2020 Mathematical Problems in Engineering  

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In this paper, we propose a novel feature selection of niche particle swarm optimization based on the chaos group, which is used for evaluating the importance of feature selection algorithms.  ...  An iterative algorithm is proposed to optimize the new model. It has been proved that solving the new model is equivalent to solving a NP problem with a flexible and adaptable norm regularization.  ...  Conclusion In this paper, niche particle swarm optimization (NPSO) algorithm is applied to feature selection.  ... 
doi:10.1155/2020/3138659 fatcat:gfhygqmy2fg6xkr56su5p3fzme
DOAJ Szczepanski
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Longzhen Duan, Shuqing Yang, Dongbo Zhang. "The Optimization of Feature Selection Based on Chaos Clustering Strategy and Niche Particle Swarm Optimization." Mathematical Problems in Engineering (2020) 1-8

Particle Swarm Optimisation: A Historical Review Up to the Current Developments

Diogo Freitas, Luiz Guerreiro Lopes, Fernando Morgado-Dias
2020 Entropy  

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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 search space seeking for the global best position that minimises (or maximises) a given problem.  ...  The objective of hybridization is to increase the quality of particles in a swarm and improve the effectiveness and efficiency of the algorithm.  ... 
doi:10.3390/e22030362 pmid:33286136 pmcid:PMC7516836 fatcat:c5b5doi3hvddpj3dsuzzyj5vyq
DOAJ
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Diogo Freitas, Luiz Guerreiro Lopes, Fernando Morgado-Dias. "Particle Swarm Optimisation: A Historical Review Up to the Current Developments." Entropy 22.3 (2020) 362

Investigation On Novel Based Metaheuristic Algorithms For Combinatorial Optimization Problems In Ad Hoc Networks

C. Rajan, N. Shanthi, C. Rasi Priya, K. Geetha
2014 Zenodo  

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In order to efficiently transmit data to destinations, the applicable routing algorithms must be implemented in mobile ad-hoc networks.  ...  The algorithms that are inspired by the principles of natural biological evolution and distributed collective behavior of social colonies have shown excellence in dealing with complex optimization problems  ...  Authors improved the various metrics of MANET using hybrid routing intelligent algorithm which has Ant Colony Optimization (ACO) and Particle Swarm Optimization (PSO) algorithms.  ... 
doi:10.5281/zenodo.1096161 fatcat:jtnbmkm5vbdbvigaigvkx6zb34
Open Access
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C. Rajan, N. Shanthi, C. Rasi Priya, K. Geetha. "Investigation On Novel Based Metaheuristic Algorithms For Combinatorial Optimization Problems In Ad Hoc Networks." Zenodo (2014)

A Comparative Analysis of Optimization Techniques

Kanika Tyagi, Kirti Tyagi
2015 International Journal of Computer Applications  

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Thus various techniques are being used for test case optimization, to select the less indistinguishable test cases while providing the best possible fault coverage.  ...  The goal is to minimize the time spent in the process of testing by reduction in the number of test cases to be used.  ...  Self-Adapting Genetic Algorithm Project scheduling under constrained resources 2002 Drezner, Zvi New Genetic Algorithm Quadratic Assignment Problem 2004 Feltl et al Improved Hybrid Genetic  ... 
doi:10.5120/ijca2015907399 fatcat:75x4dkcve5g5ffykqkl6uewetu
Citation

Kanika Tyagi, Kirti Tyagi. "A Comparative Analysis of Optimization Techniques." International Journal of Computer Applications 131.10 (2015) 6-12

Monkey Behavior Based Algorithms - A Survey

R. Vasundhara Devi, S. Siva Sathya
2017 International Journal of Intelligent Systems and Applications  

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SIA are problemindependent and are efficient in solving real world complex optimization problems to arrive at the optimal solutions.  ...  In this survey, we provide a comprehensive overview of monkey behavior based algorithms and their related literatures and discuss useful research directions to provide better insights for swarm intelligence  ...  CONCLUSION Several swarm intelligence based algorithms such as particle swarm optimization, ant colony optimization, Glowworm swarm optimization etc, are used for finding optimal solutions to various complex  ... 
doi:10.5815/ijisa.2017.12.07 fatcat:me7s6qz4dbhxlmr7ltswxelguu
Open Access
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R. Vasundhara Devi, S. Siva Sathya. "Monkey Behavior Based Algorithms - A Survey." International Journal of Intelligent Systems and Applications 9.12 (2017) 67-86

Dynamic Function Optimization: The Moving Peaks Benchmark [chapter]

Irene Moser, Raymond Chiong
2013 Studies in Computational Intelligence  

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In those cases, it is meaningful to apply optimization algorithms that can accommodate change. In the recent past, many researchers have contributed algorithms suited for dynamic problems.  ...  If the changes in the fitness function of an optimization problem are moderate, a complete restart of the optimization algorithm may not be warranted.  ...  We would like to thank the editors for inviting us to contribute to this volume, and one of the anonymous referees for his/her useful comments.  ... 
doi:10.1007/978-3-642-30665-5_3 fatcat:4cnmxmrotfh67dzd77gicyaiqa
Citation

Irene Moser, Raymond Chiong. "Dynamic Function Optimization: The Moving Peaks Benchmark." Studies in Computational Intelligence (2013) 35-59

A quarter century of particle swarm optimization

Shi Cheng, Hui Lu, Xiujuan Lei, Yuhui Shi
2018 Complex & Intelligent Systems  

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Over the past quarter century, the particle swarm optimization algorithm has attracted many researchers' attention.  ...  Particle swarm optimization (PSO) is a population-based stochastic algorithm modeled on the social behaviors observed in flocking birds.  ...  The fourth introduces multiple swarms or coevolving groups to improve the global search ability: -Cooperative particle swarm optimizer (CPSO) [7] , -Dynamic multi-swarm particle swarm optimizer (DMS-PSO  ... 
doi:10.1007/s40747-018-0071-2 fatcat:rajjkozus5govjy7kgnwix5edm
Open Access
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Shi Cheng, Hui Lu, Xiujuan Lei, Yuhui Shi. "A quarter century of particle swarm optimization." Complex & Intelligent Systems 4.3 (2018)

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