Part of the book series:Advances in Intelligent Systems and Computing ((AISC,volume 387))
1060Accesses
Abstract
In this paper, a mixture signal, which is composed of a periodical signal and an increasing level Direct Current (DC) signal, is used in this paper to amplify the diversity brought to the artificial agents in Evolved Bat Algorithm (EBA). In order to test the accuracy on finding the near best solutions, three test functions with known global optimum are used in the experiments. The experimental results indicate that our method improves the searching accuracy of EBA about 47.74 percent in average.
This is a preview of subscription content,log in via an institution to check access.
Access this chapter
Subscribe and save
- Get 10 units per month
- Download Article/Chapter or eBook
- 1 Unit = 1 Article or 1 Chapter
- Cancel anytime
Buy Now
- Chapter
- JPY 3498
- Price includes VAT (Japan)
- eBook
- JPY 17159
- Price includes VAT (Japan)
- Softcover Book
- JPY 21449
- Price includes VAT (Japan)
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Tsai, P.-W., Pan, J.-S., Liao, B.-Y., Tsai, M.-J., Vaci, I.: Bat Algorithm Inspired Algorithm for Solving Numerical Optimization Problems. Applied Mechanics and Materials148–149, 134–137 (2012)
Yang, X.-S.: A new metaheuristic bat-inspired algorithm. In: González, J.R., Pelta, D.A., Cruz, C., Terrazas, G., Krasnogor, N. (eds.) NICSO 2010. SCI, vol. 284, pp. 65–74. Springer, Heidelberg (2010)
Tsai, P.-W., Chen, C.-W.: A Novel Criterion for Nonlinear Time-Delay Systems Using LMI Fuzzy Lyapunov Method. Applied Soft Computing25, 461–472 (2014)
Hasançebi, O., Teke, T., Pekcan, O.: A bat-inspired algorithm for structural optimization. Computers and Structures128, 77–90 (2013)
Niknam, T., Azizipanah-Abarghooee, R., Zare, M., Bahmani-Firouzi, B.: Reserve Constrained Dynamic Environmental/Economic Dispatch: A New Multiobjective Self-Adaptive Learning Bat Algorithm. IEEE Systems Journal7(4), 763–776 (2013)
Tsai, P.-W., Pan, J.-S., Liao, B.-Y., Chu, S.-C.: Ehanced Artificial Bee Colony Optimization. International Journal of Innovative Computing Information and Control5(12(B)), 5081–5092 (2009)
Tsai, P.-W., Khan, M.K., Pan, J.-S., Liao, B.-Y.: Interactive Artificial Bee Colony Supported Passive Continuous Authentication System. IEEE Systems JournalPP, 1–11 (2012)
Chu, S.-C., Tsai, P.-W.: Computational Intelligence Based on the Behavior of Cats. International Journal of Innovative Computing, Information and Control3(1), 163–173 (2007)
Chu, S.-C., Tsai, P.-w., Pan, J.-S.: Cat swarm optimization. In: Yang, Q., Webb, G. (eds.) PRICAI 2006. LNCS (LNAI), vol. 4099, pp. 854–858. Springer, Heidelberg (2006)
Tsai, P.-W., Pan, J.-S., Chen, S.-M., Liao, B.-Y.: Enhanced Parallel Cat Swarm Optimization Based on the Taguchi Method. Expert Systems with Applications39(7), 6309–6319 (2012)
Temel, S., Unaldi, N., Kaynak, O.: On Deployment of Wireless Sensors on 3-D Terrains to Maximize Sensing Coverage by Utilizing Cat Swarm Optimization with Wavelet Transform. IEEE Transactions on Systems, Man, and Cybernetics: Systems44(1), 111–120 (2014)
Kong, L., Pan, J.-S., Tsai, P.-W., Vaclav, S., Ho, J.-H.: A Balanced Power Consumption Algorithm Based on Enhanced Parallel Cat Swarm Optimization for Wireless Sensor Network. International Journal of Distributed Sensor Networks2015, 1–10 (2015)
Pappula, L., Ghosh, D.: Linear antenna array synthesis using cat swarm optimization. International Journal of Electronics and Communications (AEÜ)68, 540–549 (2014)
Yang, F., Ding, M., Zhang, X., Hou, W., Zhong, C.: Non-rigid multi-modal medical image registration by combining L-BFGS-B with cat swarm optimization. Information Sciences (in press) (2015)
Author information
Authors and Affiliations
College of Information Science and Engineering, Fujian University of Technology, Fuzhou City, 350118, Fujian, China
Pei-Wei Tsai, Shunmiao Zhang, Yuan Liu, Yao He & Jeng-Shyang Pan
Innovative Information Industry Research Center, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, 518055, China
Jeng-Shyang Pan
- Pei-Wei Tsai
You can also search for this author inPubMed Google Scholar
- Shunmiao Zhang
You can also search for this author inPubMed Google Scholar
- Yuan Liu
You can also search for this author inPubMed Google Scholar
- Yao He
You can also search for this author inPubMed Google Scholar
- Jeng-Shyang Pan
You can also search for this author inPubMed Google Scholar
Corresponding author
Correspondence toJeng-Shyang Pan.
Editor information
Editors and Affiliations
Faculty of Engineering, University of Miyazaki, Miyazaki, Japan
Thi Thi Zin
School of Computer Science and Tech..., Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China
Jerry Chun-Wei Lin
College of Information Science and Engg, Fujian University of Technology, Fuzhou, China
Jeng-Shyang Pan
Faculty of Engineering, University of Miyazaki, Miyazaki, Japan
Pyke Tin
Faculty of Engineering, University of Miyazaki, Miyazaki, Japan
Mitsuhiro Yokota
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Tsai, PW., Zhang, S., Liu, Y., He, Y., Pan, JS. (2016). Evolved Bat Algorithm with Increase-Wave Strategy. In: Zin, T., Lin, JW., Pan, JS., Tin, P., Yokota, M. (eds) Genetic and Evolutionary Computing. Advances in Intelligent Systems and Computing, vol 387. Springer, Cham. https://doi.org/10.1007/978-3-319-23204-1_3
Download citation
Published:
Publisher Name:Springer, Cham
Print ISBN:978-3-319-23203-4
Online ISBN:978-3-319-23204-1
eBook Packages:EngineeringEngineering (R0)
Share this paper
Anyone you share the following link with will be able to read this content:
Sorry, a shareable link is not currently available for this article.
Provided by the Springer Nature SharedIt content-sharing initiative