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A Survey on Particle Swarm Optimization Algorithms for Multimodal Function Optimization

Yu Liu, Xiaoxi Ling, Zhewen Shi, Mingwei LV, Jing Fang, Liang Zhang
2011 Journal of Software  
Several techniques in solving multimodal function optimization problems were introduced, such as clearing, deterministic crowding, sharing, species conserving and so on.  ...  A comprehensive review of the existing works done in the field of multimodal function optimization was given and a critical analysis of the existing methods was also provided.  ...  Most of existing multimodal particle swarm optimization algorithms are based on species conservation and fitness sharing.  ... 
doi:10.4304/jsw.6.12.2449-2455 fatcat:vu3gqkp2hbaoznjp2u5kadn5mu

2010 Index IEEE Transactions on Evolutionary Computation Vol. 14

2010 IEEE Transactions on Evolutionary Computation  
., +, TEVC Oct. 2010 782-800 Multimodal Optimization by Means of a Topological Species Conservation Algorithm.  ...  ., +, TEVC Dec. 2010 865-884 Multimodal Optimization by Means of a Topological Species Conservation Algorithm.  ... 
doi:10.1109/tevc.2010.2097050 fatcat:qhxnf2o62bd3xmxsfyd5fb37ym

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  
This paper aims at enhancing the performance of these types of PSO-based algorithms by introducing two procedures: (1) a differential operator for improving the search ability and (2) a heuristic clearing  ...  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.  ...  As an illustration, the speciation-based PSO (SPSO) in [13] was motivated by the behavior of species-conserving approaches.  ... 
doi:10.1109/isda.2013.6920430 dblp:conf/isda/NapolesGBFA13 fatcat:zt6bpsxaczhltbhczbqizbxjle

Evolutionary Multimodal Optimization: A Short Survey [article]

Ka-Chun Wong
2015 arXiv   pre-print
In this chapter, we describe and review the state-of-the-arts evolutionary algorithms for multimodal optimization in terms of methodology, benchmarking, and application.  ...  In particular, the evolutionary algorithms for multimodal optimization usually not only locate multiple optima in a single run, but also preserve their population diversity throughout a run, resulting  ...  Species Conserving Species conserving genetic algorithm (SCGA) [17] is a technique for evolving parallel subpopulations for multimodal optimization.  ... 
arXiv:1508.00457v1 fatcat:z3bisznvfzh77plpn5bp64pdt4

Disburdening the species conservation evolutionary algorithm of arguing with radii

Catalin Liviu Stoean, Mike Preuss, Ruxandra Stoean, Dumitru Dumitrescu
2007 Proceedings of the 9th annual conference on Genetic and evolutionary computation - GECCO '07  
The present paper investigates the hybridization of two wellknown multimodal optimization methods, i.e. species conservation and multinational algorithms.  ...  one generation to another, but detects multimodality by means of the hill-valley mechanism employed by multinational algorithms.  ...  THE TOPOLOGICAL SPECIES CONSER-VATION ALGORITHM The novel proposed algorithm inherits the notion of a seed (dominating individual) of a subpopulation and the idea of seeds conservation.  ... 
doi:10.1145/1276958.1277220 dblp:conf/gecco/StoeanPSD07 fatcat:xt3pqv54dzd4nhieb6h6btcm4e

Whale swarm algorithm with the mechanism of identifying and escaping from extreme point for multimodal function optimization [article]

Bing Zeng, Xinyu Li, Liang Gao, Yuyan Zhang, Haozhen Dong
2018 arXiv   pre-print
Therefore, increasing niching metaheuristic algorithms, which devote to finding multiple optima in a single run, are developed to solve these multimodal optimization problems.  ...  Based on Whale Swarm Algorithm (WSA) we proposed previously, this paper presents a new multimodal optimizer named WSA with Iterative Counter (WSA-IC) to address these two difficulties.  ...  Acknowledgements This research was supported by the National Natural Science Foundation of China (NSFC) (51435009, 51421062 and 61232008) and the National Key Technology Support Program (2015BAF01B04).  ... 
arXiv:1804.02851v1 fatcat:xmcybzvbozarbn7tobxf7zvkkq

Developing Niching Algorithms in Particle Swarm Optimization [chapter]

Xiaodong Li
2011 Adaptation, Learning, and Optimization  
This chapter aims to provide a survey of some recent efforts in developing stateof-the-art PSO niching algorithms.  ...  This chapter will also describe a recently proposed lbest ring topology based niching PSO.  ...  Numerical Examples To evaluate the niching ability of the above lbest PSO with a ring topology, we used 3 multimodal optimization test functions of different characteristics.  ... 
doi:10.1007/978-3-642-17390-5_3 fatcat:k23hdrwidbagrain3pasage2f4

Truss topology optimization using an improved species-conserving genetic algorithm

Jian-Ping Li
2014 Engineering optimization (Print)  
The aim of this paper is to apply and improve the species conserving genetic algorithm (SCGA) to search in a single run multiple solutions of truss topology optimization problems.  ...  A species is defined as a group of individuals with similar characteristics and is dominated by its species seed. The solutions of an optimization problem will be selected from the found species.  ...  The species conserving genetic algorithm (SCGA) (Li et al. 2002) was developed to search multiple solutions of multimodal optimization problems on a single run.  ... 
doi:10.1080/0305215x.2013.875165 fatcat:hrlvih6ntfflhm6qm2kklmndtu

Comparing lbest PSO niching algorithms using different position update rules

Xiaodong Li, Kalyanmoy Deb
2010 IEEE Congress on Evolutionary Computation  
This paper compares several schemes of PSO update rules, and examines the effects of incorporating these schemes into a lbest PSO niching algorithm using a ring topology.  ...  Niching is an important technique for multimodal optimization in Evolutionary Computation. Most existing niching algorithms are evaluated using only 1 or 2 dimensional multimodal functions.  ...  For example the sharing parameter σ share in fitness sharing [2] , the species distance σ s in species conserving GA (SCGA) [13] , the distance measure σ clear in clearing [12] , and the species radius  ... 
doi:10.1109/cec.2010.5586317 dblp:conf/cec/LiD10 fatcat:imaayeoo3nfkvetgyichhyqd74

Genetic Algorithms for multimodal optimization: a review [article]

Noe Casas
2015 arXiv   pre-print
In this article we provide a comprehensive review of the different evolutionary algorithm techniques used to address multimodal optimization problems, classifying them according to the nature of their  ...  On the one hand there are algorithms that address the issue of the early convergence to a local optimum by differentiating the individuals of the population into groups and limiting their interaction,  ...  Multi-objective evolutionary algorithms Multi-Objective Optimization problems are characterized by the need to find proper trade-offs among different criteria, each of them quantified by means of an objective  ... 
arXiv:1508.05342v1 fatcat:2kcpmbzwtrbebaugqonzhmpjme

Construction of Swimmer's Underwater Posture Training Model Based on Multimodal Neural Network Model

Wei Wen, Tingyu Yang, Yanhao Fu, Siwen Liu, Gengxin Sun
2022 Computational Intelligence and Neuroscience  
Aiming at the defect that the accuracy and speed of the underwater posture monitoring of swimmers cannot be guaranteed in a complex environment, an evolutionary neural network optimized by a multimodal  ...  adaptive genetic algorithm is constructed to perform multimodal information fusion to ensure the effectiveness of the system in the face of complex information.  ...  Acknowledgments is work was supported by funding for basic scientific research of Chinese University (grant no. 2018GJ020).  ... 
doi:10.1155/2022/1134558 pmid:35449735 pmcid:PMC9017539 fatcat:pj3u56xdxvcq5nfjksfqbpsk7e

Niching Without Niching Parameters: Particle Swarm Optimization Using a Ring Topology

Xiaodong Li
2010 IEEE Transactions on Evolutionary Computation  
A PSO algorithm using the ring topology can operate as a niching algorithm by using individual particles' local memories to form a stable network retaining the best positions found so far, while these  ...  This paper describes a simple yet effective niching algorithm, a particle swarm optimization (PSO) algorithm using a ring neighborhood topology, which does not require any niching parameters.  ...  Nest for his careful proofreading of the paper.  ... 
doi:10.1109/tevc.2009.2026270 fatcat:ad6hthebkvfmrgpuqt4eqq6kea

Adaptively Choosing Neighbourhood Bests Using Species in a Particle Swarm Optimizer for Multimodal Function Optimization [chapter]

Xiaodong Li
2004 Lecture Notes in Computer Science  
This paper proposes an improved particle swarm optimizer using the notion of species to determine its neighbourhood best values, for solving multimodal optimization problems.  ...  Each species is grouped around a dominating particle called the species seed.  ...  Li, et al. introduced a species conserving genetic algorithm (SCGA) for multimodal optimization [9] .  ... 
doi:10.1007/978-3-540-24854-5_10 fatcat:tuktvagxv5ajlhacwwnuuzcyki

Multimodal Estimation of Distribution Algorithms

Qiang Yang, Wei-Neng Chen, Yun Li, C. L. Philip Chen, Xiang-Min Xu, Jun Zhang
2017 IEEE Transactions on Cybernetics  
Index Terms-Estimation of distribution algorithm (EDA), multimodal optimization, multiple global optima, niching.  ...  Taking the advantage of estimation of distribution algorithms (EDAs) in preserving high diversity, this paper proposes a multimodal EDA.  ...  Combining these two methods with a seed preservation strategy, topological species conservation [32] , [33] was put forward to reduce extinction of species that have a diminishing number of individuals  ... 
doi:10.1109/tcyb.2016.2523000 pmid:28113686 fatcat:hoojbmahordr5gesp2hig7fmoa

A gravitational search algorithm for multimodal optimization

Sajjad Yazdani, Hossein Nezamabadi-pour, Shima Kamyab
2014 Swarm and Evolutionary Computation  
Therefore, in this study, a new technique, namely Niche GSA (NGSA) is introduced for multimodal optimization.  ...  Gravitational search algorithm (GSA) has been recently presented as a new heuristic search algorithm with good results in real-valued and binary encoded optimization problems which is categorized in swarm  ...  The proposed method in [23] combines the ideas of SCGA of establishing and conserving a dominating seed for every species with a topological subpopulations separation as in the multimodal genetic algorithm  ... 
doi:10.1016/j.swevo.2013.08.001 fatcat:xkddbo6d2nfmne5ifderky3xpy
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