|Hideyuki Takagi||Last modified date：2021.05.21|
Professor / Modeling and Optimization / Department of Human Science / Faculty of Design
Takagi Hideyuki, Explosion Operation of Fireworks Algorithm, IGI Global, 10.4018/978-1-7998-1659-1, Jun Yu, Hideyuki Takagi, "Explosion Operation of Fireworks Algorithm," Chapter 3 of Handbook of Research on Fireworks Algorithms and Swarm Intelligence, (ed.) Ying Tan, IGI Global (2020).
DOI: 10.4018/978-1-7998-1659-1, 2020.05, [URL], This chapter briefly reviews the basic explosion mechanism used in the fireworks algorithm (FWA) and comprehensively investigates relevant research on explosion operations. Since the explosion mechanism is one of the most core operations directly affecting the performance of FWA, the authors focus on analyzing the FWA explosion operation and highlighting two novel explosion strategies: a multi-layer explosion strategy and a scouting explosion strategy. The multi-layer explosion strategy allows an individual firework to perform multiple explosions instead of the single explosion used in the original FWA, where each round of explosion can be regarded as a layer; the scouting explosion strategy controls an individual firework to generate spark individuals one by one instead of generating all spark individuals within the explosion amplitude at once. The authors then introduce several other effective strategies to further improve the performance of FWA by full using the information generated by the explosion operation. Finally, the authors list some open topics for discussion..
|2.||Takagi Hideyuki, Emergent Trends in Robotics and Intelligent Systems
, Springer, Hideyuki Takagi, "Interactive evolutionary computation for analyzing human characteristics" pp.189-196
in "Emergent Trends in Robotics and Intelligent Systems -- Where is the Role of Intelligent Technologies in the Next Generation of Robots?", edited by P. Sincak, M. Vircikova, and R. Jaksa, Advances in Intelligent Systems and Computing #316, Springer (2014).
DOI: 10.1007/978-3-319-10783-7, 2015.01, [URL].
|3.||Ch.9 "Interactive Evolutionary Computation," and Section 14.1 "Fuzzy Systems" in "Handbook of Evolutionary Technology: Computation and Applications, Vol.1: Fundamentals" edited by Committee on Evolutionary Technology: Computation and Applications, Inst. of Electrical Engineers of Japan, Kindai Kagaku sha Co., Ltd., Tokyo Japan. (January, 2010)..|
|4.||Hideyuki Takagi, New IEC Research and Frameworks, Springer-Verlag, Berlin Heidelberg , pp.65-78, in Aspects of Soft Computing, Intelligent Robotics and Control edited by János Fodor and Janusz Kacprzyk, 2009.08.|
|5.||Evolutionary Computation-based Design Methods for Environments with Humans.|
|6.||Interactive Evolutionary Computation.|
|7.||Hideyuki Takagi, Auditory and Visual-based Signal Processing with Interactive Evolutionary Computation, World Scientific, Singapore, in "Machine Intelligence Quo Vadis?", edited by P. Sincak, J. Vascak, and K. Hirota, pp.443-453, (SPRING, 2004)., 2004.05.|
|8.||Hideyuki Takagi, Humanized Computational Intelligence with Interactive Evolutionary Computation, Wiley, Ch.15, pp.207-218
in Computational Intelligence: The Experts Speak, edited by D. B. Fogel and C.J. Robinson,, 2003.05.
|9.||(Eds.) Japan Society for Fuzzy Theory and Systems, Fuzzy and Soft Computing Handbook Kyoritu Publisher, Ch.19.3: H. Takagi,"Interactive Evolutionary Computation," Ch.24.1: T. Hashiyama and H. Takagi, "Fuzzy rule acquisition using Neural Networks," and Ch.24.2: T. Hashiyama and H. Takagi, "Fuzzy rule acquisition using Genetic Algorithms." (Sept. 10, 2000) (in Japanese)..|
|10.||Hideyuki Takagi, Tatsuo Unemi, and Takao Terano, "Interactive Evolutionary Computation," (Eds.) H. Kitano, Genetic Algorithms 4, Ch.11, Sangyo Publisher, (Aug. 30, 2000) (in Japanese)..|
|11.||Miho Ohsaki and Hideyuki Takagi, "Human Interface of Interactive Evolutionary Computation and Its Evaluation," (Eds.) H. Kitano, Genetic Algorithms 4, Ch.13, Sangyo Publisher (Aug. 30, 2000) (in Japanese)..|
|12.||Hideyuki Takagi, "Fusion technology of NN/FS/GA," Ch.11.8 in Brain Science Handbook, pp.948-951, (Asakura Publisher) (in Japanese) (April 10, 2000)..|
|13.||Yoshihiro Taguchi, Hideki Mitui and Hideyuki Takagi, "Keywords in Complexity," Kyoritsu Publisher (Feb. 1, 2000) (in Japanese)..|
|14.||translated by Hideyuki Takagi: Chuck Karr, "Adaptive Control with Fuzzy Logic and Genetic Algorithms," Ch.18 in Soft Computing, Kaibundo Publisher, pp.399-424 (February, 1998) (in Japanese)..|
|15.||Hideyuki Takagi, Introduction to fuzzy systems, neural networks, and genetic algorithms
in Intelligent Systems: Fuzzy Logic, Neural Networks, and Genetic Algorithms,, Kluwer Academic Publishers (Norwell, Massachusetts, USA), Ch.1, pp.1-33
(eds) D. Ruan,, 1997.09.
|16.||Hideyuki Takagi and Michael A. Lee, Integration of fuzzy systems and neural networks, and fuzzy systems and genetic algorithms, World Scientific (Singapore), Ch.2, pp.11-38
in "Hybrid Intelligent Engineering Systems" edited by L C. Jain and R.K. Jain, 1997.05.
|17.||Hideyuki Takagi, Fuzzy Logic Applications in Image Processing Equipment: Intelligent VR Futures, CRC Press, Inc. BocaRaton, FL, USA, Chapter 111, section 111.6, pp.1426-1437
in "the Industrial Electronics Handbook", edited by D. Irvin,, 1997.04.
|18.||Michael A. Lee and Hideyuki Takagi, Hybrid Genetic-Fuzzy Systems for Intelligent Systems Design, Physica-Verlag, Heidelberg, a Springer-Verlag Company, in "Genetic Algorithms and Soft Computing", edited by F. Herrera and J.L. Verdegay, 1996.09.|
|19.||translated by Hideyuki Takagi: D. Nauck and R. Kruse, "Neuro-Fuzzy Systems Research and Applications outside of Japan," Ch.8 in Fuzzy - Neural Networks, Asakura Publisher (April, 1996) (in Japanese)..|
|20.||Hideyuki Takagi, Survey of Fuzzy Logic Applications in Image Processing Equipment, IEEE Press, J. Yen, R. Langari, and L. Zadeh, Industrial Applications of Fuzzy Control and Intelligent Systems, Ch.4, pp.69-92,, 1995.01.|
|21.||Hideyuki Takagi, Applications of Neural Networks and Fuzzy Logic to Consumer Products, IEEE Press, J. Yen, R. Langari, and L. Zadeh, in Industrial Applications of Fuzzy Control and Intelligent Systems, Ch.5, pp.93-106, 1995.01.|
|22.||Michael A. Lee and Hideyuki Takagi, A framework for studying the effects of dynamic crossover, mutation, and population sizing in genetic algorithms, Springer-Verlag (Berlin, Germany), "Advances in Fuzzy Logic, Neural Networks and Genetic Algorithms". Selected Papers from IEEE/Nagoya-University World Wisepersons Workshop. edited by T. Furuhashi, pp.111-126 (1995)., 1995.01.|
|23.||Hideyuki Takagi, Application of neural networks and fuzzy logic to consumer products, IEEE Technical Activities Board, Fuzzy Logic Technology and Applications, edited by Robert J. Marks II,, 1994.01.|
|24.||Hideyuki Takagi, "Fusion technology of neural networks and fuzzy logic: applications to consumer products," ed. by S. Amari, New trend of neural networks, Science-sya, pp.207-220 (Oct., 1993) (in Japanese)..|
|25.||Hideyuki Takagi and Isao Hayashi, NN-driven Fuzzy Reasoning, IEEE Press, Int'l Journal of Approximate Reasoning (Special Issue of IIZUKA'88), Vol.5, No.3, pp.191-213 (1991) in Fuzzy Models for Pattern Recognition, ed. by J. C. Bezdek and S. K. Pal,, 1992.01.|
|26.||Isao Hayashi and Hideyuki Takagi, "Neural networks-driven fuzzy reasoning," ed. by K. Hirota, Practical fuzzy application technologies, Mimatsu Data System (1990) (in Japanese)..|