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An efficient immune-based symbiotic particle swarm optimization learning algorithm for TSK-type neuro-fuzzy networks design

Cheng-Jian Lin
2008 Fuzzy sets and systems (Print)  
Chun [9] employed an immune algorithm (IA) as the search method for the shape optimization of an electromagnetic device.  ...  In order to avoid trapping in a local optimal solution and to ensure the search capability of a near global optimal solution, mutation plays an important role in IPSO.  ...  In order to avoid trapping in a local optimal solution and to ensure the search capability of a near global optimal solution, mutation plays an important role in IPSO.  ... 
doi:10.1016/j.fss.2008.01.020 fatcat:qtfbnfcr7jek7fj6ef62p67wem

Improved Artificial Immune System Algorithm With Local Search

Ramin Javadzadeh., Zahra Afsahi, MohammadReza Meybodi
2011 Zenodo  
That use of the small size of a local search around the memory antibodies is used for improving the algorithm efficiently.  ...  In this paper, improved Artificial Immune System Algorithm is introduced for the first time to overcome its problems of artificial immune system.  ...  The idea of this method to improve its accuracy is using local search in memory cells space. Local search around the best antibodies will be achieved in the small scale.  ... 
doi:10.5281/zenodo.1063229 fatcat:oes4ud5sorhpdcmq7bvwlwb3je

Artificial Immune System Based Local Search for Solving Multi-Objective Design Problems

Adel M. El-Refaey
2017 American Journal of Neural Networks and Applications  
In this paper, an artificial intelligent approach based on the clonal selection principle of Artificial Immune System (AIS) and local search (LS) is propose to solve Multiobjective engineering design problems  ...  The proposed approach uses Local search, dominance principle and feasibility to identify solutions that deserve to be cloned.  ...  However, change in p τ affects the force indirectly, such as an increase in p τ results in an increase in the back iron thickness to avoid saturation.  ... 
doi:10.11648/j.ajnna.20170303.11 fatcat:yxvqji5ypndq5jzkbze7xhxm4i

Enhancing Artificial Bee Colony Algorithm with Self-Adaptive Searching Strategy and Artificial Immune Network Operators for Global Optimization

Tinggui Chen, Renbin Xiao
2014 The Scientific World Journal  
As a result, we proposed an enhanced ABC algorithm called EABC by introducing self-adaptive searching strategy and artificial immune network operators to improve the exploitation and exploration.  ...  For example, ABC can easily get trapped in the local optimum when handing in functions that have a narrow curving valley, a high eccentric ellipse, or complex multimodal functions.  ...  In these two literature works, authors also developed an improved solution search equation which was based on that the bee searched only for the best solution of the previous iteration to improve the exploitation  ... 
doi:10.1155/2014/438260 pmid:24772023 pmcid:PMC3948480 fatcat:njs7icrkznbkdi6jnobp2ulg6m

Investigating a Hybrid Metaheuristic for Job Shop Rescheduling

Salwani Abdullah, Uwe Aickelin, Edmund Burke, Aniza Mohamed Din, Rong Qu
2007 Social Science Research Network  
We further investigate whether simulated annealing and the great deluge algorithm can improve the results when hybridised with our artificial immune system (Phase II).  ...  The building blocks are created based upon underpinning ideas from artificial immune systems and evolved using a genetic algorithm (Phase I).  ...  In Section 3.2, we hybridise the newly developed artificial immune system with local search to see whether there is improvement to the results.  ... 
doi:10.2139/ssrn.2831302 fatcat:x6zhtwytsnejvboimsndavvige

Chaotic Immune Symbiotic Organisms Search Algorithm for Solving Optimisation Problem

Mohamad Khairuzzaman Mohamad Zamani, Ismail Musirin, Saiful Izwan Suliman, Sharifah Azma Syed Mustaffa
2018 International Journal of Engineering & Technology  
To mitigate the problem, this paper presents the development of Chaotic Immune Symbiotic Organisms Search algorithm which was inspired by the element of diversification as well as the increased capability  ...  A comparative study was also conducted with respect to several other existing optimisation algorithms resulted in the superiority of the proposed algorithm in providing high-quality solutions.  ...  Acknowledgement The authors would like to acknowledge the Institute of Research Management and Innovation (IRMI), UiTM Shah Alam, Selangor, Malaysia for the financial support of this research.  ... 
doi:10.14419/ijet.v7i3.15.17505 fatcat:ytsapg242jhmrhbfgqrn5rs5cu

An Intelligent Artificial System : Artificial Immune based Hybrid Genetic Algorithm for the Vehicle Routing Problem

Li-Fu Hsu, Chiun-Chieh Hsu, Tsai-Duan Lin
2014 Applied Mathematics & Information Sciences  
It captures many features of the vertebrate immune system and proposed an intelligent artificial system which hybrid genetic and immune algorithm to solve the vehicle routing problem with limited capacity  ...  In this paper, we describe an artificial immune system that is distributed, robust, dynamic, diverse and adaptive.  ...  At the same time, the antigen part will also be driven to better position via crossover operator along with the local search algorithm.  ... 
doi:10.12785/amis/080332 fatcat:mfgeyrrf2ze75ibwructu2nqha

A New Clonal Selection Immune Algorithm with Perturbation Guiding Search and Non-uniform Hypermutation

Xinchao Zhao, Guoli Liu, Huqiu Liu, Guoshuai Zhao, Shaozhang Niu
2010 International Journal of Computational Intelligence Systems  
A new clonal selection immune algorithm with perturbation guiding search and non-uniform hypermutation (nCSIA) is proposed based on the idea of perturbed particle swarm algorithm and non-uniform mutation  ...  In order to keep the balance of exploration/exploitation better, perturbation guiding search strategy is presented, which is actually an elitist learning mechanism and is borrowed from the perturbed particle  ...  Acknowledgements This paper is supported by the National Natural Science Foundation of China (No. 61070207) and the Fundamental Research Funds for the Central Universities (BUPT2009RC0701) of China  ... 
doi:10.1080/18756891.2010.9727749 fatcat:rnpx2z7rvzh4zl6wqqkw4rvze4

A New Clonal Selection Immune Algorithm with Perturbation Guiding Search and Nonuniform Hypermutation

Xinchao Zhao, Guoshuai Zhao, Shaozhang Niu, Guoli Liu
2010 International Journal of Computational Intelligence Systems  
A new clonal selection immune algorithm with perturbation guiding search and non-uniform hypermutation (nCSIA) is proposed based on the idea of perturbed particle swarm algorithm and non-uniform mutation  ...  In order to keep the balance of exploration/exploitation better, perturbation guiding search strategy is presented, which is actually an elitist learning mechanism and is borrowed from the perturbed particle  ...  Acknowledgements This paper is supported by the National Natural Science Foundation of China (No. 61070207) and the Fundamental Research Funds for the Central Universities (BUPT2009RC0701) of China  ... 
doi:10.2991/ijcis.2010.3.s1.1 fatcat:jvl7lqsjazgfdizh76p4qmi66a

Solving Competitive Facilities Location Problem with the Clonal Selection Algorithm

Pang Xiu-li, Feng Yu-qiang
2006 2006 International Conference on Management Science and Engineering  
This paper proposes an improved clonal selection algorithm, which is an important theory in artificial immune systems (AIS), and we apply it to the CFL task.  ...  A Special string is used as the shape-space in immune cell pattern.  ...  The work in the future may focus on two respects: (1) We can fuse the local search into our algorithm, so as to effectively combine the ability of local search and the one of global search. (2) Fuzzy logic  ... 
doi:10.1109/icmse.2006.313875 fatcat:fxxlal7lxndetm6vdlzsrzrjv4

Coke Ratio Prediction Based on Immune Particle Swarm Neural Networks

Yang Kai, Jin Yonglong, He Zhijun
2015 Open Cybernetics and Systemics Journal  
The clonal selection mechanism and vaccination strategy of immune system are introduced into particle swarm optimization algorithm in this paper, in order to enhance the ability of global exploration of  ...  The global Cauchy mutation operator and local Gauss mutation operator are used to improve the ability of searching global optimization and the accuracy of local optimization.  ...  ACKNOWLEDGEMENTS This work was financially supported by scientific research fund of Liaoning provincial education department (L2014118) and the Anshan science and technology park.  ... 
doi:10.2174/1874110x01509011576 fatcat:2s3tpip2fndp5a7cqe7ycoujrq

An Improved Fruit Fly Optimization Algorithm for QoS Aware Cloud Service Composition

Bharath Savarala, Pradeep Chella
2017 International Journal of Intelligent Engineering and Systems  
An improved fruit fly optimization algorithm based on discrete immune optimization is proposed for quality of service (QoS) aware cloud service composition.  ...  A mathematical model is derived to enhance local search capabilities and also improves the fitness value of composite service sequence.  ...  The FOA employs local search strategy to enhance the convergence speed with good fitness value.  ... 
doi:10.22266/ijies2017.1031.12 fatcat:wenerbhu7vdfnehwzz6xoz7qlq

Application of Global Optimization Methods for Feature Selection and Machine Learning

Shaohua Wu, Yong Hu, Wei Wang, Xinyong Feng, Wanneng Shu
2013 Mathematical Problems in Engineering  
The proposed algorithm has more exploration and exploitation abilities due to the clonal selection theory, and each antibody in the search space specifies a subset of the possible features.  ...  This paper proposed a novel immune clonal genetic algorithm based on immune clonal algorithm designed to solve the feature selection problem.  ...  Acknowledgments This research work was supported by the Hubei Key Laboratory of Intelligent Wireless Communications (Grant no.  ... 
doi:10.1155/2013/241517 fatcat:2u7h5qnmqrbzjdkp6ewgmewfne

A Hybrid Clonal Selection Algorithm for the Vehicle Routing Problem with Stochastic Demands [chapter]

Yannis Marinakis, Magdalene Marinaki, Athanasios Migdalas
2014 Lecture Notes in Computer Science  
Iterated Local Search (ILS) algorithm.  ...  The Clonal Selection Algorithm is the most known algorithm inspired from the Artificial Immune Systems and used effectively in optimization problems.  ...  Iterated Local Search The purpose of the Iterated Local Search (ILS) algorithm is to improve previously produced local optima [19, 24, 27] .  ... 
doi:10.1007/978-3-319-09584-4_24 fatcat:2uvcxtzijzdx5jmgeenw35ta6i

Hybrid Model Based On Artificial Immune System And Cellular Automata

Ramin Javadzadeh, Zahra Afsahi, MohammadReza Meybodi
2011 Zenodo  
In this hybrid model, the cellular automaton within each cell deploys the artificial immune system algorithm under optimization context in order to increase its fitness by using its neighbor-s efforts.  ...  The hybrid model CA-AIS is introduced to fix the standard artificial immune system-s weaknesses.  ...  This produces the best rates for artificial immune systems operators to be selected locally.  ... 
doi:10.5281/zenodo.1082881 fatcat:26o7xdg5ujbulceg5lm7hrtxii
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