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| 1 | Pigeon-inspired optimization:a new swarm intelligence optimizer for air robot path planning显示文摘Purpose–The purpose of this paper is to present a novel swarm intelligence optimizer—pigeoninspired optimization(PIO)—and describe how this algorithm was applied to solve air robot path planning problems.Design/methodology/approach–The formulation of threat resources and objective function in air robot path planning is given.The mathematical model and detailed implementation process of PIO is presented.Comparative experiments with standard differential evolution(DE)algorithm are also conducted.Findings–The feasibility,effectiveness and robustness of the proposed PIO algorithm are shown by a series of comparative experiments with standard DE algorithm.The computational results also show that the proposed PIO algorithm can effectively improve the convergence speed,and the superiority of global search is also verified in various cases.Originality/value–In this paper,the authors first presented a PIO algorithm.In this newly presented algorithm,map and compass operator model is presented based on magnetic field and sun,while landmark operator model is designed based on landmarks.The authors also applied this newly proposed PIO algorithm for solving air robot path planning problems. | Haibin Duan Peixin Qiao | 2014 | International Journal of Intelligent Computing and Cybernetics2014，7，1： | 17 |
| 2 | “Neural” computation of decisions in optimization problems显示文摘 | J. J. Hopfield D. W. Tank | 1985 | Biological Cybernetics1985，，3： | 4 |
| 3 | A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters显示文摘 | J. C. Dunn | 1973 | Cybernetics and Systems1973，，3： | 3 |
| 4 | Self-organized formation of topologically correct feature maps显示文摘 | Teuvo Kohonen | 1982 | Biological Cybernetics1982，，1： | 3 |
| 5 | The structure of images显示文摘 | Jan J. Koenderink | 1984 | Biological Cybernetics1984，，5： | 3 |
| 6 | Evaluating causal relations in neural systems: Granger causality, directed transfer function and statistical assessment of significance显示文摘 | Maciej Kamiński Mingzhou Ding Wilson A. Truccolo Steven L. Bressler | 2001 | Biological Cybernetics2001，，2： | 3 |
| 7 | Discrete-time based sliding-mode control of robot manipulators显示文摘Purpose-The purpose of this paper is to develop sliding mode control with linear and nonlinear manifolds in discrete-time domain for robot manipulators.Design/methodology/approach–First,a discrete linear sliding mode controller is designed to an n-link robot based on Gao’s reaching law.In the second step,a discrete terminal sliding mode controller is developed to design a finite time and high precision controller.The stability analysis of both controllers is presented in the presence of model uncertainties and external disturbances.Finally,sampling time effects on the continuous-time system outputs and sliding surfaces are discussed.Findings–Computer simulations on a three-link SCARA robot show that the proposed controllers are robust against model uncertainties and external disturbance.It was also shown that the sampling time has important effects on the closed loop system stability and convergence.Practical implications-The proposed controllers are low cost and easily implemented in practice in comparison with continuous-time ones.Originality/value-The novelty associated with this paper is the development of an approach to finite time and robust control of n-link robot manipulators in discrete-time domain.Also,obtaining an upper bound for the sampling time is another contribution of this work. | Sajjad Shoja Majidabad Heydar Toosian Shandiz | 2012 | International Journal of Intelligent Computing and Cybernetics2012，5，3： | 2 |
| 8 | Abraham kandel compression and expansion of fuzzy rule bases by using crisp fuzzy neural networks 显示文摘 | ZHANG Yan-qing | 1998 | Cybernetics and Systems1998，29，1： | 2 |
| 9 | Chattering-free sliding mode control with unidirectional auxiliary surfaces for miniature helicopters显示文摘Purpose-This article proposes a chattering-free sliding mode control scheme with unidirectional auxiliary surfaces(UAS-SMC)for small miniature autonomous helicopters(Trex 250).Design/methodology/approach-The proposed UAS-SMC scheme consists of a nested sequence of rotor dynamics,angular rate,Euler angle,velocity and position loops.Findings-It is demonstrated that the UAS-SMC strategy can eliminate the chattering phenomenon exhibiting in the convenient SMC method and achieve a better approaching speed.Originality/value-The proposed control strategy is implemented on the helicopter and flight tests clearly demonstrate that a much better performance could be achieved,compared with convenient SMC schemes. | Jian Fu Wen-hua Chen Qing-xian Wu | 2012 | International Journal of Intelligent Computing and Cybernetics2012，5，3： | 2 |
| 10 | A genetic algorithm for the design of a fuzzy controller for active queue management 显示文摘 | Fatta D G Hoffmann F Re Lo G | 2003 | IEEE Trans on System Man and Cybernetic2003，33，3： | 2 |
| 11 | Solving constraint satisfactionand optimization problems by a neural-fuzzy approach 显示文摘 | Salvatore Cavalieri Marco Russo | 1999 | IEEE Transaction on Systems Man and Cybernetics -Part B1999，29，6： | 2 |
| 12 | Receding horizon control for cooperative search of multi-UAVs based on differential evolution显示文摘Purpose–The purpose of this paper is to present a hybrid method of intelligent optimization algorithm and Receding Horizon Control.The method is applied to solve the problem of cooperative search of multi-unmanned aerial vehicles(multi-UAVs).Design/methodology/approach–The intelligent optimization of Differential Evolution(DE)makes the complex problem of multi-UAVs cooperative search a regular function optimization problem.To meet the real-time requirement,the idea of Receding Horizon Control is applied.An Extended Search Map based on hormone information is used to describe the uncertain environment information.Findings–Simulation results indicate effectiveness of the hybrid method in solving the problem of cooperative search for multi-UAVs.Originality/value–The paper presents an interesting hybrid method of DE and Receding Horizon Control for the problem of cooperative multi-UAVs. | Zhenyu Zhao Guangshan Lu | 2012 | International Journal of Intelligent Computing and Cybernetics2012，5，1： | 2 |
| 13 | Face Recognition using Mixture-Distance and Raw Images 显示文摘 | Steve Lawrence Peter Yianilos Ingemar Cox | 1997 | IEEE International Conference on Computational Cybernetics and Simulation1997，3，： | 2 |
| 14 | Semantic constraints for membership function optimization 显示文摘 | De Oliverira JV | 1999 | IEEE Transactions on Systems Man and Cybernetics(Part A) :Systems and Humans1999，29，1： | 2 |
| 15 | A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters显示文摘 | J. C. Dunn | 1973 | Cybernetics and Systems1973，，3： | 2 |
| 16 | Ant System: Optimization by A Colony of Cooperating Agents 显示文摘 | Dorigo M Maniezzo V Colorni A | 1996 | IEEE Transactions on Systems Man and Cybernetics Part B1996，26，1： | 2 |
| 17 | A general multi level evaluation process for hybrid MADM with uncertainty显示文摘 | BO Jian SEN P | 1994 | IEEE Transaction on systems man and cybernetics1994，24，： | 2 |
| 18 | Decision trees and decision making显示文摘 | Quinlan J R | 1990 | IEEE Transactions on Systems Man and Cybernetics1990，20，2： | 2 |
| 19 | Performance evaluation of fuzzy classifier systems for multidimensional pattern classification problems 显示文摘 | ISHIBUCHI H NAKASHIMA T MURATA T | 1999 | IEEE Transaction on Systems Man and Cybernetics (Part B)1999，29，5： | 2 |
| 20 | NEW METHODS FOR SUBJECTIVE MENTAL WORKLOAD ASSESSMENT AND FUZZY RISK ANALYSIS显示文摘 | Shyi-Ming Chen | 1996 | Cybernetics and Systems1996，，5： | 2 |
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