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Erschienen in: Soft Computing 18/2017

18.03.2016 | Methodologies and Application

Randomly attracted firefly algorithm with neighborhood search and dynamic parameter adjustment mechanism

verfasst von: Hui Wang, Zhihua Cui, Hui Sun, Shahryar Rahnamayan, Xin-She Yang

Erschienen in: Soft Computing | Ausgabe 18/2017

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Abstract

Firefly algorithm (FA) is a new swarm intelligence optimization algorithm, which has shown an effective performance on many optimization problems. However, it may suffer from premature convergence when solving complex optimization problems. In this paper, we propose a new FA variant, called NSRaFA, which employs a random attraction model and three neighborhood search strategies to obtain a trade-off between exploration and exploitation abilities. Moreover, a dynamic parameter adjustment mechanism is used to automatically adjust the control parameters. Experiments are conducted on a set of well-known benchmark functions. Results show that our approach achieves much better solutions than the standard FA and five other recently proposed FA variants.

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Literatur
Zurück zum Zitat Amiri B, Hossain L, Crawford JW, Wigand RT (2013) Community detection in complex networks: multi-objective enhanced firefly algorithm. Knowl Based Syst 46:1–11CrossRef Amiri B, Hossain L, Crawford JW, Wigand RT (2013) Community detection in complex networks: multi-objective enhanced firefly algorithm. Knowl Based Syst 46:1–11CrossRef
Zurück zum Zitat Brest J, Greiner S, Bo\(\check{s}\)kovi\(\acute{c}\) B, Mernik M, \(\check{Z}\)umer V, (2006) Self-adapting control parameters in differential evolution: a comparative study on numerical benchmark problems. IEEE Trans Evolut Comput 10(6):646–657 Brest J, Greiner S, Bo\(\check{s}\)kovi\(\acute{c}\) B, Mernik M, \(\check{Z}\)umer V, (2006) Self-adapting control parameters in differential evolution: a comparative study on numerical benchmark problems. IEEE Trans Evolut Comput 10(6):646–657
Zurück zum Zitat Chandrasekaran K, Simon SP, Padhy NP (2013) Binary real coded firefly algorithm for solving unit commitment problem. Inf Sci 249:67–84CrossRef Chandrasekaran K, Simon SP, Padhy NP (2013) Binary real coded firefly algorithm for solving unit commitment problem. Inf Sci 249:67–84CrossRef
Zurück zum Zitat Chen BJ, Shu HZ, Coatrieux G, Chen G, Sun XM, Coatrieux JL (2015) Color image analysis by quaternion-type moments. J Math Imaging Vis 51(1):124–144MathSciNetCrossRefMATH Chen BJ, Shu HZ, Coatrieux G, Chen G, Sun XM, Coatrieux JL (2015) Color image analysis by quaternion-type moments. J Math Imaging Vis 51(1):124–144MathSciNetCrossRefMATH
Zurück zum Zitat Chhikara RR, Singh L (2015) An improved discrete firefly and t-Test based algorithm for blind image steganalysis. In: The 6th international conference on intelligent systems, modelling and simulation (ISMS), pp 58–63 Chhikara RR, Singh L (2015) An improved discrete firefly and t-Test based algorithm for blind image steganalysis. In: The 6th international conference on intelligent systems, modelling and simulation (ISMS), pp 58–63
Zurück zum Zitat Coelho LS, Mariani VC (2013) Improved firefly algorithm approach applied to chiller loading for energy conservation. Energy Build 59:273–278CrossRef Coelho LS, Mariani VC (2013) Improved firefly algorithm approach applied to chiller loading for energy conservation. Energy Build 59:273–278CrossRef
Zurück zum Zitat Das S, Abraham A, Chakraborty U, Konar A (2009) Differential evolution using a neighborhood-based mutation operator. IEEE Trans Evol Comput 13(3):526–553CrossRef Das S, Abraham A, Chakraborty U, Konar A (2009) Differential evolution using a neighborhood-based mutation operator. IEEE Trans Evol Comput 13(3):526–553CrossRef
Zurück zum Zitat Dorigo M, Maniezzo V, Colorni A (1996) The ant system: optimization by a colony of cooperating agents. IEEE Trans Syst Man Cybern Part B Cybern 26:29–41CrossRef Dorigo M, Maniezzo V, Colorni A (1996) The ant system: optimization by a colony of cooperating agents. IEEE Trans Syst Man Cybern Part B Cybern 26:29–41CrossRef
Zurück zum Zitat Duang H, Luo Q (2015) New progresses in swarm intelligence-based computation. Int J Bio-Inspir Comput 7(1):26–35CrossRef Duang H, Luo Q (2015) New progresses in swarm intelligence-based computation. Int J Bio-Inspir Comput 7(1):26–35CrossRef
Zurück zum Zitat Farahani SM, Abshouri AA, Nasiri B, Meybodi MR (2011) A Gaussian firefly algorithm. Int J Mach Learn Comput 1(5):448–453CrossRef Farahani SM, Abshouri AA, Nasiri B, Meybodi MR (2011) A Gaussian firefly algorithm. Int J Mach Learn Comput 1(5):448–453CrossRef
Zurück zum Zitat Fister Jr I, Yang XS, Fister I, Brest J (2012) Memetic firefly algorithm for combinatorial optimization. In: Bioinspired optimization methods and their applications (BIOMA 2012), pp 1–14 Fister Jr I, Yang XS, Fister I, Brest J (2012) Memetic firefly algorithm for combinatorial optimization. In: Bioinspired optimization methods and their applications (BIOMA 2012), pp 1–14
Zurück zum Zitat Fister I Jr, Fister I, Yang XS, Brest J (2013) A comprehensive review of firefly algorithms. Swarm Evolut Comput 13:34–46CrossRef Fister I Jr, Fister I, Yang XS, Brest J (2013) A comprehensive review of firefly algorithms. Swarm Evolut Comput 13:34–46CrossRef
Zurück zum Zitat Fister I, Yang XS, Brest J, Fister I Jr (2013) Modified firefly algorithm using quaternion representation. Exp Syst Appl 40(18):7220–7230CrossRef Fister I, Yang XS, Brest J, Fister I Jr (2013) Modified firefly algorithm using quaternion representation. Exp Syst Appl 40(18):7220–7230CrossRef
Zurück zum Zitat Fister I Jr, Yang XS, Fister I, Brest J, Fister D (2013) A brief review of nature-inspired algorithms for optimization. Elektrotehniǎki Vestnik 80(3):1–7MATH Fister I Jr, Yang XS, Fister I, Brest J, Fister D (2013) A brief review of nature-inspired algorithms for optimization. Elektrotehniǎki Vestnik 80(3):1–7MATH
Zurück zum Zitat Fister I Jr, Perc M, Kamal SM, Fister I (2015) A review of chaos-based firefly algorithms: perspectives and research challenges. Appl Math Comput 252:155–165MathSciNetMATH Fister I Jr, Perc M, Kamal SM, Fister I (2015) A review of chaos-based firefly algorithms: perspectives and research challenges. Appl Math Comput 252:155–165MathSciNetMATH
Zurück zum Zitat Fister I Jr, Yang XS, Brest J, Fister D, Fister I (2015) Analysis of randomisation methods in swarm intelligence. Int J Bio-Inspir Comput 7(1):36–49CrossRef Fister I Jr, Yang XS, Brest J, Fister D, Fister I (2015) Analysis of randomisation methods in swarm intelligence. Int J Bio-Inspir Comput 7(1):36–49CrossRef
Zurück zum Zitat Florence AP, Shanthi V (2014) A load balancing model using firefly algorithm in cloud computing. J Comput Sci 10(7):1156–1165CrossRef Florence AP, Shanthi V (2014) A load balancing model using firefly algorithm in cloud computing. J Comput Sci 10(7):1156–1165CrossRef
Zurück zum Zitat Fu ZJ, Sun XM, Liu Q, Zhou L, Shu JG (2015) Achieving efficient cloud search services: multi-keyword ranked search over encrypted cloud data supporting parallel computing. IEICE Trans Commun E98–B(1):190–200CrossRef Fu ZJ, Sun XM, Liu Q, Zhou L, Shu JG (2015) Achieving efficient cloud search services: multi-keyword ranked search over encrypted cloud data supporting parallel computing. IEICE Trans Commun E98–B(1):190–200CrossRef
Zurück zum Zitat Gandomi AH, Yang XS, Alavi AH (2013) Mixed variable structural optimization using firefly algorithm. Comput Struct 89(23–24):2325–2336 Gandomi AH, Yang XS, Alavi AH (2013) Mixed variable structural optimization using firefly algorithm. Comput Struct 89(23–24):2325–2336
Zurück zum Zitat Gandomi AH, Yang XS, Talatahari S, Alavi AR (2013) Firefly algorithm with chaos. Commun Nonlinear Sci Numer Simul 18(1):89–98MathSciNetCrossRefMATH Gandomi AH, Yang XS, Talatahari S, Alavi AR (2013) Firefly algorithm with chaos. Commun Nonlinear Sci Numer Simul 18(1):89–98MathSciNetCrossRefMATH
Zurück zum Zitat García S, Fern\(\acute{a}\)ndez A, Luengo J, Herrera F (2010) Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: experimental an alysis of power. Inf Sci 180(20):2044–2064 García S, Fern\(\acute{a}\)ndez A, Luengo J, Herrera F (2010) Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: experimental an alysis of power. Inf Sci 180(20):2044–2064
Zurück zum Zitat Gopinadh V, Singh A (2015) Swarm intelligence approaches for cover scheduling problem in wireless sensor networks. Int J Bio-Inspir Comput 7(1):50–61CrossRef Gopinadh V, Singh A (2015) Swarm intelligence approaches for cover scheduling problem in wireless sensor networks. Int J Bio-Inspir Comput 7(1):50–61CrossRef
Zurück zum Zitat Gu B, Sheng VS, Tay KY, Romano W, Li S (2015) Incremental support vector learning for ordinal regression. IEEE Trans Neural Netw Learn Syst 26(7):1403–1416MathSciNetCrossRef Gu B, Sheng VS, Tay KY, Romano W, Li S (2015) Incremental support vector learning for ordinal regression. IEEE Trans Neural Netw Learn Syst 26(7):1403–1416MathSciNetCrossRef
Zurück zum Zitat Gu B, Sheng VS, Wang ZJ, Ho D, Osman S, Li S (2015) Incremental learning for \(\nu \)-support vector regression. Neural Netw 67:140–150CrossRef Gu B, Sheng VS, Wang ZJ, Ho D, Osman S, Li S (2015) Incremental learning for \(\nu \)-support vector regression. Neural Netw 67:140–150CrossRef
Zurück zum Zitat Hassanzadeh T, Vojodi H, Moghadam AME (2011) An image segmentation approach based on maximum variance intra-cluster method and firefly algorithm. In: The 7th international conference on natural computation (ICNC), pp 1817–1821 Hassanzadeh T, Vojodi H, Moghadam AME (2011) An image segmentation approach based on maximum variance intra-cluster method and firefly algorithm. In: The 7th international conference on natural computation (ICNC), pp 1817–1821
Zurück zum Zitat Horng MH (2012) Vector quantization using the firefly algorithm for image compression. Exp Syst Appl 39(1):1078–1091CrossRef Horng MH (2012) Vector quantization using the firefly algorithm for image compression. Exp Syst Appl 39(1):1078–1091CrossRef
Zurück zum Zitat Kazem A, Sharifi E, Hussain F, Saberi M, Hussain OK (2013) Support vector regression with chaos-based firefly algorithm for stock market price forecasting. Appl Soft Comput 13(2):947–958CrossRef Kazem A, Sharifi E, Hussain F, Saberi M, Hussain OK (2013) Support vector regression with chaos-based firefly algorithm for stock market price forecasting. Appl Soft Comput 13(2):947–958CrossRef
Zurück zum Zitat Kennedy J, Eberhart RC (1995) Particle swarm optimization. In: Proceedings of IEEE international conference on neural networks, pp 1942–1948 Kennedy J, Eberhart RC (1995) Particle swarm optimization. In: Proceedings of IEEE international conference on neural networks, pp 1942–1948
Zurück zum Zitat Kougianos E, Mohanty SP (2015) A nature-inspired firefly algorithm based approach for nanoscale leakage optimal RTL structure. Integr VLSI J 51:46–60CrossRef Kougianos E, Mohanty SP (2015) A nature-inspired firefly algorithm based approach for nanoscale leakage optimal RTL structure. Integr VLSI J 51:46–60CrossRef
Zurück zum Zitat Li J, Li XL, Yang B, Sun XM (2015) Segmentation-based image copy-move forgery detection scheme. IEEE Trans Inf Forensics Secur 10(3):507–518CrossRef Li J, Li XL, Yang B, Sun XM (2015) Segmentation-based image copy-move forgery detection scheme. IEEE Trans Inf Forensics Secur 10(3):507–518CrossRef
Zurück zum Zitat Liang RH, Wang JC, Chen YT, Tseng WT (2015) An enhanced firefly algorithm to multi-objective optimal active/reactive power dispatch with uncertainties consideration. Int J Electr Power Energy Syst 64:1088–1097CrossRef Liang RH, Wang JC, Chen YT, Tseng WT (2015) An enhanced firefly algorithm to multi-objective optimal active/reactive power dispatch with uncertainties consideration. Int J Electr Power Energy Syst 64:1088–1097CrossRef
Zurück zum Zitat Long NC, Meesad P, Unger H (2015) A highly accurate firefly based algorithm for heart disease prediction. Exp Syst Appl 42(21):8221–8231CrossRef Long NC, Meesad P, Unger H (2015) A highly accurate firefly based algorithm for heart disease prediction. Exp Syst Appl 42(21):8221–8231CrossRef
Zurück zum Zitat Ma TH, Zhou JJ, Tang ML, Tian Y, Al-dhelaan A, Al-rodhann M, Lee S (2015) Social network and tag sources based augmenting collaborative recommender system. IEICE Trans Inf Syst E98–D(4):902–910CrossRef Ma TH, Zhou JJ, Tang ML, Tian Y, Al-dhelaan A, Al-rodhann M, Lee S (2015) Social network and tag sources based augmenting collaborative recommender system. IEICE Trans Inf Syst E98–D(4):902–910CrossRef
Zurück zum Zitat Mahapatra S, Panda S, Swain SC (2014) A hybrid firefly algorithm and pattern search technique for SSSC based power oscillation damping controller design. Ain Shams Eng J 5:1177–1188CrossRef Mahapatra S, Panda S, Swain SC (2014) A hybrid firefly algorithm and pattern search technique for SSSC based power oscillation damping controller design. Ain Shams Eng J 5:1177–1188CrossRef
Zurück zum Zitat Marichelvam MK, Prabaharan T, Yang XS (2014) A discrete firefly algorithm for the multi-objective hybrid flowshop scheduling problems. IEEE Trans Evol Comput 18(2):301–305CrossRef Marichelvam MK, Prabaharan T, Yang XS (2014) A discrete firefly algorithm for the multi-objective hybrid flowshop scheduling problems. IEEE Trans Evol Comput 18(2):301–305CrossRef
Zurück zum Zitat Miguel LFF, Lopez RH, Miguel LFF (2013) Multimodal size, shape, and topology optimisation of truss structures using the firefly algorithm. Adv Eng Softw 56:23–37CrossRef Miguel LFF, Lopez RH, Miguel LFF (2013) Multimodal size, shape, and topology optimisation of truss structures using the firefly algorithm. Adv Eng Softw 56:23–37CrossRef
Zurück zum Zitat Poursalehi N, Zolfaghari A, Minuchehr A (2013) Multi-objective loading pattern enhancement of PWR based on the discrete firefly algorithm. Ann Nucl Energy 57:151–163CrossRef Poursalehi N, Zolfaghari A, Minuchehr A (2013) Multi-objective loading pattern enhancement of PWR based on the discrete firefly algorithm. Ann Nucl Energy 57:151–163CrossRef
Zurück zum Zitat Rahmani A, MirHassani SA (2014) A hybrid firefly-genetic algorithm for the capacitated facility location problem. Inf Sci 283:70–78MathSciNetCrossRefMATH Rahmani A, MirHassani SA (2014) A hybrid firefly-genetic algorithm for the capacitated facility location problem. Inf Sci 283:70–78MathSciNetCrossRefMATH
Zurück zum Zitat Ren YJ, Shen J, Wang J, Han J, Lee S (2015) Mutual verifiable provable data auditing in public cloud storage. J Int Technol 16(2):317–323 Ren YJ, Shen J, Wang J, Han J, Lee S (2015) Mutual verifiable provable data auditing in public cloud storage. J Int Technol 16(2):317–323
Zurück zum Zitat Sahu RK, Panda S, Padhan S (2015) A hybrid firefly algorithm and pattern search technique for automatic generation control of multi area power systems. Int J Electr Power Energy Syst 64:9–23CrossRef Sahu RK, Panda S, Padhan S (2015) A hybrid firefly algorithm and pattern search technique for automatic generation control of multi area power systems. Int J Electr Power Energy Syst 64:9–23CrossRef
Zurück zum Zitat Saraç E, Özel SA (2013) Web page classification using firefly optimization. In: IEEE international symposiumon innovations in intelligent systems and applications (INISTA), pp 1–5 Saraç E, Özel SA (2013) Web page classification using firefly optimization. In: IEEE international symposiumon innovations in intelligent systems and applications (INISTA), pp 1–5
Zurück zum Zitat Sayadi MK, Hafezalkotob A, Naini S (2013) Firefly-inspired algorithm for discrete optimization problems: an application to manufacturing cell formation. J Manuf Syst 32(1):78–84CrossRef Sayadi MK, Hafezalkotob A, Naini S (2013) Firefly-inspired algorithm for discrete optimization problems: an application to manufacturing cell formation. J Manuf Syst 32(1):78–84CrossRef
Zurück zum Zitat Senthilnath J, Omkar SN, Mani V (2011) Clustering using firefly algorithm: performance study. Swarm Evolut Comput 1(3):164–171CrossRef Senthilnath J, Omkar SN, Mani V (2011) Clustering using firefly algorithm: performance study. Swarm Evolut Comput 1(3):164–171CrossRef
Zurück zum Zitat Shen J, Tan HW, Wang J, Wang JW, Lee S (2015) A novel routing protocol providing good transmission reliability in underwater sensor networks. J Int Technol 16(1):171–178 Shen J, Tan HW, Wang J, Wang JW, Lee S (2015) A novel routing protocol providing good transmission reliability in underwater sensor networks. J Int Technol 16(1):171–178
Zurück zum Zitat Shomalnasab F, Sadeghzadeh M, Esmaeilpour M (2014) An optimal similarity measure for collaborative filtering using firefly algorithm. J Adv Comput Res 5(3):101–111 Shomalnasab F, Sadeghzadeh M, Esmaeilpour M (2014) An optimal similarity measure for collaborative filtering using firefly algorithm. J Adv Comput Res 5(3):101–111
Zurück zum Zitat Srivatsava PR, Mallikarjun B, Yang XS (2013) Optimal test sequence generation using firefly algorithm. Swarm Evolut Comput 8:44–53CrossRef Srivatsava PR, Mallikarjun B, Yang XS (2013) Optimal test sequence generation using firefly algorithm. Swarm Evolut Comput 8:44–53CrossRef
Zurück zum Zitat Wang H, Wu ZJ, Rahnamayan S, Li CH, Zeng SY, Jiang DZ (2011) Particle swarm optimization with simple and efficient neighbourhood search strategies. Int J Innov Comput Appl 3(2):7–104 Wang H, Wu ZJ, Rahnamayan S, Li CH, Zeng SY, Jiang DZ (2011) Particle swarm optimization with simple and efficient neighbourhood search strategies. Int J Innov Comput Appl 3(2):7–104
Zurück zum Zitat Wang H, Rahnamayan S, Sun H, Omran MGH (2013) Gaussian bare-bones differential evolution. IEEE Trans Cybern 43(2):634–647CrossRef Wang H, Rahnamayan S, Sun H, Omran MGH (2013) Gaussian bare-bones differential evolution. IEEE Trans Cybern 43(2):634–647CrossRef
Zurück zum Zitat Wang H, Sun H, Li CH, Rahnamayan S, Pan JS (2013) Diversity enhanced particle swarm optimization with neighborhood search. Inf Sci 223:119–135MathSciNetCrossRef Wang H, Sun H, Li CH, Rahnamayan S, Pan JS (2013) Diversity enhanced particle swarm optimization with neighborhood search. Inf Sci 223:119–135MathSciNetCrossRef
Zurück zum Zitat Wang B, Li DX, Jiang JP, Liao YH (2014) A modified firefly algorithm based on light intensity difference. J Comb Optim 31(3):1045–1060MathSciNetCrossRefMATH Wang B, Li DX, Jiang JP, Liao YH (2014) A modified firefly algorithm based on light intensity difference. J Comb Optim 31(3):1045–1060MathSciNetCrossRefMATH
Zurück zum Zitat Wang H, Wang WJ, Sun H, Rahnamayan S (2016) Firefly algorithm with random attraction. Int J Bio-Inspir Comput 8(1):33–41CrossRef Wang H, Wang WJ, Sun H, Rahnamayan S (2016) Firefly algorithm with random attraction. Int J Bio-Inspir Comput 8(1):33–41CrossRef
Zurück zum Zitat Wen XZ, Shao L, Xue Y, Fang W (2015) A rapid learning algorithm for vehicle classification. Inf Sci 295:395–406 Wen XZ, Shao L, Xue Y, Fang W (2015) A rapid learning algorithm for vehicle classification. Inf Sci 295:395–406
Zurück zum Zitat Xia ZH, Wang XH, Sun XM, Liu QS, Xiong NX (2014) Steganalysis of LSB matching using differences between nonadjacent pixels. Multimed Tools Appl. doi:10.1007/s11042-014-2381-8 Xia ZH, Wang XH, Sun XM, Liu QS, Xiong NX (2014) Steganalysis of LSB matching using differences between nonadjacent pixels. Multimed Tools Appl. doi:10.​1007/​s11042-014-2381-8
Zurück zum Zitat Xia ZH, Wang XH, Sun XM, Wang BW (2014) Steganalysis of least significant bit matching using multi-order differences. Secur Commun Netw 7(8):1283–1291CrossRef Xia ZH, Wang XH, Sun XM, Wang BW (2014) Steganalysis of least significant bit matching using multi-order differences. Secur Commun Netw 7(8):1283–1291CrossRef
Zurück zum Zitat Xie SD, Wang YX (2014) Construction of tree network with limited delivery latency in homogeneous wireless sensor networks. Wirel Pers Commun 78(1):231–246CrossRef Xie SD, Wang YX (2014) Construction of tree network with limited delivery latency in homogeneous wireless sensor networks. Wirel Pers Commun 78(1):231–246CrossRef
Zurück zum Zitat Xu M, Liu GZ (2013) A multipopulation firefly algorithm for correlated data routing in underwater wireless sensor networks. Int J Distrib Sens Netw. doi:10.1155/2013/865154 Xu M, Liu GZ (2013) A multipopulation firefly algorithm for correlated data routing in underwater wireless sensor networks. Int J Distrib Sens Netw. doi:10.​1155/​2013/​865154
Zurück zum Zitat Yang XS, Deb S (2009) Cuckoo search via Lvy flights. In: World congress on nature and biologically inspired computing (NaBIC 2009), pp 210–214 Yang XS, Deb S (2009) Cuckoo search via Lvy flights. In: World congress on nature and biologically inspired computing (NaBIC 2009), pp 210–214
Zurück zum Zitat Yang XS (2010) A new metaheuristic bat-inspired algorithm. In: Nature inspired cooperative strategies for optimization (NICSO 2010), Springer, Berlin, pp 65–74 Yang XS (2010) A new metaheuristic bat-inspired algorithm. In: Nature inspired cooperative strategies for optimization (NICSO 2010), Springer, Berlin, pp 65–74
Zurück zum Zitat Yang XS (2008) Nature-inspired metaheuristic algorithms. Luniver Press, London Yang XS (2008) Nature-inspired metaheuristic algorithms. Luniver Press, London
Zurück zum Zitat Yang XS (2010) Engineering optimization: an introduction with metaheuristic applications. Wiley, New YorkCrossRef Yang XS (2010) Engineering optimization: an introduction with metaheuristic applications. Wiley, New YorkCrossRef
Zurück zum Zitat Yang XS, Hosseini SSS, Gandomi AH (2012) Firefly algorithm for solving non-convex economic dispatch problems with valve loading effect. Appl Soft Comput 12(3):1180–1186CrossRef Yang XS, Hosseini SSS, Gandomi AH (2012) Firefly algorithm for solving non-convex economic dispatch problems with valve loading effect. Appl Soft Comput 12(3):1180–1186CrossRef
Zurück zum Zitat Yu SH, Zhu SL, Ma Y, Mao DM (2015) A variable step size firefly algorithm for numerical optimization. Appl Math Comput 263:214–220MathSciNet Yu SH, Zhu SL, Ma Y, Mao DM (2015) A variable step size firefly algorithm for numerical optimization. Appl Math Comput 263:214–220MathSciNet
Zurück zum Zitat Zheng YH, Jeon B, Xu DH, Wu QMJ, Zhang H (2015) Image segmentation by generalized hierarchical fuzzy C-means algorithm. J Intell Fuzzy Syst 28(2):961–973 Zheng YH, Jeon B, Xu DH, Wu QMJ, Zhang H (2015) Image segmentation by generalized hierarchical fuzzy C-means algorithm. J Intell Fuzzy Syst 28(2):961–973
Metadaten
Titel
Randomly attracted firefly algorithm with neighborhood search and dynamic parameter adjustment mechanism
verfasst von
Hui Wang
Zhihua Cui
Hui Sun
Shahryar Rahnamayan
Xin-She Yang
Publikationsdatum
18.03.2016
Verlag
Springer Berlin Heidelberg
Erschienen in
Soft Computing / Ausgabe 18/2017
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-016-2116-z

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