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2017 | OriginalPaper | Buchkapitel

A Review of Dynamic Parameter Adaptation Methods for the Firefly Algorithm

verfasst von : Carlos Soto, Fevrier Valdez, Oscar Castillo

Erschienen in: Nature-Inspired Design of Hybrid Intelligent Systems

Verlag: Springer International Publishing

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Abstract

The firefly algorithm is a bioinspired metaheuristic-based on the firefly’s behavior. This paper shows previous works on parameters analysis and dynamical parameter adjustment, using different approaches and fuzzy logic.

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Literatur
1.
Zurück zum Zitat Yang, X.-S.: Nature-Inspired Metaheuristic Algorithms. (2008). Yang, X.-S.: Nature-Inspired Metaheuristic Algorithms. (2008).
2.
Zurück zum Zitat Husselmann, A. V, Hawick, K.A.: Cuckoo Search and Firefly Algorithm: Theory and Applications. Presented at the (2014). Husselmann, A. V, Hawick, K.A.: Cuckoo Search and Firefly Algorithm: Theory and Applications. Presented at the (2014).
3.
Zurück zum Zitat Brajevic, I., Tuba, M.: Cuckoo Search and Firefly Algorithm: Theory and Applications. Presented at the (2014). Brajevic, I., Tuba, M.: Cuckoo Search and Firefly Algorithm: Theory and Applications. Presented at the (2014).
4.
Zurück zum Zitat Yousif, A., Nor, S.M., Abdullah, A.H., Bashir, M.B.: Cuckoo Search and Firefly Algorithm: Theory and Applications. Presented at the (2014). Yousif, A., Nor, S.M., Abdullah, A.H., Bashir, M.B.: Cuckoo Search and Firefly Algorithm: Theory and Applications. Presented at the (2014).
5.
Zurück zum Zitat Yang, X.-S. ed: Cuckoo Search and Firefly Algorithm. Springer International Publishing, Cham (2014). Yang, X.-S. ed: Cuckoo Search and Firefly Algorithm. Springer International Publishing, Cham (2014).
6.
Zurück zum Zitat Salomie, I., Chifu, V.R., Pop, C.B.: Cuckoo Search and Firefly Algorithm: Theory and Applications. Presented at the (2014). Salomie, I., Chifu, V.R., Pop, C.B.: Cuckoo Search and Firefly Algorithm: Theory and Applications. Presented at the (2014).
7.
Zurück zum Zitat Yang, X.-S.: Engineering Optimization: An Introduction with Metaheuristic Applications. (2010). Yang, X.-S.: Engineering Optimization: An Introduction with Metaheuristic Applications. (2010).
8.
Zurück zum Zitat Fister, I., Yang, X.-S., Brest, J.: Cuckoo Search and Firefly Algorithm: Theory and Applications. Presented at the (2014). Fister, I., Yang, X.-S., Brest, J.: Cuckoo Search and Firefly Algorithm: Theory and Applications. Presented at the (2014).
9.
Zurück zum Zitat Yang, X.-S., Deb, S., Loomes, M., Karamanoglu, M.: A framework for self-tuning optimization algorithm. Neural Comput. Appl. 23, 2051–2057 (2013). Yang, X.-S., Deb, S., Loomes, M., Karamanoglu, M.: A framework for self-tuning optimization algorithm. Neural Comput. Appl. 23, 2051–2057 (2013).
10.
Zurück zum Zitat Neyoy, H., Castillo, O., Soria, J.: Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics: Theory and Applications. Presented at the (2015). Neyoy, H., Castillo, O., Soria, J.: Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics: Theory and Applications. Presented at the (2015).
11.
Zurück zum Zitat Olivas, F., Valdez, F., Castillo, O.: Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics. Springer International Publishing, Cham (2015). Olivas, F., Valdez, F., Castillo, O.: Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics. Springer International Publishing, Cham (2015).
12.
Zurück zum Zitat Eberhart, R.C.: Fuzzy adaptive particle swarm optimization. In: Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546). pp. 101–106. IEEE (2001). Eberhart, R.C.: Fuzzy adaptive particle swarm optimization. In: Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546). pp. 101–106. IEEE (2001).
13.
Zurück zum Zitat Pérez, J., Valdez, F., Castillo, O.: Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics: Theory and Applications. Presented at the (2015). Pérez, J., Valdez, F., Castillo, O.: Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics: Theory and Applications. Presented at the (2015).
14.
Zurück zum Zitat Castillo, O., Melin, P., Pedrycz, W., Kacprzyk, J. eds: Recent Advances on Hybrid Approaches for Designing Intelligent Systems. Springer International Publishing, Cham (2014). Castillo, O., Melin, P., Pedrycz, W., Kacprzyk, J. eds: Recent Advances on Hybrid Approaches for Designing Intelligent Systems. Springer International Publishing, Cham (2014).
15.
Zurück zum Zitat dos Santos Coelho, L., de Andrade Bernert, D.L., Mariani, V.C.: A chaotic firefly algorithm applied to reliability-redundancy optimization. In: 2011 IEEE Congress of Evolutionary Computation (CEC). pp. 517–521. IEEE (2011). dos Santos Coelho, L., de Andrade Bernert, D.L., Mariani, V.C.: A chaotic firefly algorithm applied to reliability-redundancy optimization. In: 2011 IEEE Congress of Evolutionary Computation (CEC). pp. 517–521. IEEE (2011).
16.
Zurück zum Zitat Yang, X.S.: Firefly algorithm, stochastic test functions and design optimisation. Int. J. Bio-Inspired Comput. 2, 78 (2010). Yang, X.S.: Firefly algorithm, stochastic test functions and design optimisation. Int. J. Bio-Inspired Comput. 2, 78 (2010).
17.
Zurück zum Zitat Wang, G., Guo, L., Duan, H., Liu, L., Wang, H.: A Modified Firefly Algorithm for UCAV Path Planning. Int. J. Hybrid Inf. Technol. 5, 123–144. Wang, G., Guo, L., Duan, H., Liu, L., Wang, H.: A Modified Firefly Algorithm for UCAV Path Planning. Int. J. Hybrid Inf. Technol. 5, 123–144.
18.
Zurück zum Zitat Abshouri, A.A., Meybodi, M.R., Bakhtiary, A.: New Firefly Algorithm based On Multi swarm & Learning Automata in Dynamic Environments. Abshouri, A.A., Meybodi, M.R., Bakhtiary, A.: New Firefly Algorithm based On Multi swarm & Learning Automata in Dynamic Environments.
19.
Zurück zum Zitat Farahani, S.M., Nasiri, B., Meybodi, M.R.: A multiswarm based firefly algorithm in dynamic environments. 3, 68–72 (2011). Farahani, S.M., Nasiri, B., Meybodi, M.R.: A multiswarm based firefly algorithm in dynamic environments. 3, 68–72 (2011).
21.
Zurück zum Zitat Nandy, S., Sarkar, P.P., Das, A.: Analysis of a Nature Inspired Firefly Algorithm based Back-propagation Neural Network Training. CoRR. abs/1206.5, (2012). Nandy, S., Sarkar, P.P., Das, A.: Analysis of a Nature Inspired Firefly Algorithm based Back-propagation Neural Network Training. CoRR. abs/1206.5, (2012).
23.
Zurück zum Zitat Jitpakdee, P., Aimmanee, P., Uyyanonvara, B., Ritthipakdee, A.: Fuzzy-Based Firefly Algotithm for Data Clustering. (2013). Jitpakdee, P., Aimmanee, P., Uyyanonvara, B., Ritthipakdee, A.: Fuzzy-Based Firefly Algotithm for Data Clustering. (2013).
24.
Zurück zum Zitat Kumar, S., Kaur, P., Singh, A.: Fuzzy Model Identification: A Firefly Optimization Approach. Int. J. Comput. Appl. 58, 1–8. Kumar, S., Kaur, P., Singh, A.: Fuzzy Model Identification: A Firefly Optimization Approach. Int. J. Comput. Appl. 58, 1–8.
25.
Zurück zum Zitat Yang, X.-S.: Firefly Algorithm, Levy Flights and Global Optimization. 10 (2010). Yang, X.-S.: Firefly Algorithm, Levy Flights and Global Optimization. 10 (2010).
26.
Zurück zum Zitat Farahani, S.M., Abshouri, A.A., Nasiri, B., Meybodi, M.: Some hybrid models to improve firefly algorithm performance. 8, 97–117 (2012). Farahani, S.M., Abshouri, A.A., Nasiri, B., Meybodi, M.: Some hybrid models to improve firefly algorithm performance. 8, 97–117 (2012).
27.
Zurück zum Zitat Khadwilard, A., Chansombat, S., Thepphakorn, T., Thapatsuwan, P., Chainate, W., Pongcharoen, P.: Application of Firefly Algorithm and Its Parameter Setting for Job Shop Scheduling. J. Ind. Technol. 8, (2012). Khadwilard, A., Chansombat, S., Thepphakorn, T., Thapatsuwan, P., Chainate, W., Pongcharoen, P.: Application of Firefly Algorithm and Its Parameter Setting for Job Shop Scheduling. J. Ind. Technol. 8, (2012).
28.
Zurück zum Zitat Solano-Aragón, C., Castillo, O.: Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics: Theory and Applications. Presented at the (2015). Solano-Aragón, C., Castillo, O.: Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics: Theory and Applications. Presented at the (2015).
29.
Zurück zum Zitat Bidar, M., Rashidy Kanan, H.: Modified firefly algorithm using fuzzy tuned parameters. In: 2013 13th Iranian Conference on Fuzzy Systems (IFSC). pp. 1–4. IEEE (2013). Bidar, M., Rashidy Kanan, H.: Modified firefly algorithm using fuzzy tuned parameters. In: 2013 13th Iranian Conference on Fuzzy Systems (IFSC). pp. 1–4. IEEE (2013).
Metadaten
Titel
A Review of Dynamic Parameter Adaptation Methods for the Firefly Algorithm
verfasst von
Carlos Soto
Fevrier Valdez
Oscar Castillo
Copyright-Jahr
2017
DOI
https://doi.org/10.1007/978-3-319-47054-2_19