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J. Liu, Y. Y. Tang and Y. Cao, "An evolutionary autonomous agents approach to image feature extraction," IEEE Trans. Evolut. Comput. 1 (1997) 141--158.

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An Indexed Bibliography of Genetic Algorithms in the.. - Jarmo T. Alander (2000)   (Correct)

....Power Appl. 676, 694] IEE Proceedings: Generation, Transmission and Distribution, 660] IEEE Control Systems, 1006, 788] IEEE Eng. Med. Biol. 1060] IEEE Expert, 24, 794] IEEE Signal Processing Magazine, 41, 44] IEEE Trans. Consum. Electron. USA) 85] IEEE Trans. Evol. Comput, [72] IEEE Trans. Evol. Comput. USA) 678] IEEE Trans. Image Process. USA) 1202] IEEE Trans. Magn. USA) 935, 944] IEEE Trans. Neural Netw. USA) 431] IEEE Trans. Syst. Man Cybern. USA) 1122] Journal articles 13 IEEE Trans. Syst. Man Cybern. A, Syst. Humans (USA) 270] IEEE ....

....Boading, Liu, 322] Bodnovich, Tom A. 95] Bowen, Xu, 236] Burdick, Joel W. 649] Buyun, Wang, 286] Cai, H. 277] Cai, Miaofeng, 284] Cai, R. 406] Cai, S. 406] Cai, Wen sheng, 416] Cai, Wen Sheng, 460, 461, 464] Cai, X. 15, 26, 185, 46, 59] Cao, Heng, 282] Cao, Y. C. [72] Cao, Y. J. 613] Cha, Dong Hyuk, 749] Cha, J. Z. 275] Cha, Sang Yeob, 837, 843] Chacraborty, U. K. 507] Chae, Hong Kook, 729, 788] Chae, Soo Ik, 735] Chai, Jinxiang, 386] Chakrabarti, P. P. 529] Chakraborti, C. 581] Chakraborti, N. 603] Chakraborti, Nirupam, 606] ....

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Jiming Liu, Y. Y. Tang, and Y. C. Cao. Evolutionary autonomous agents approach to image feature extraction. IEEE Trans. Evol. Comput, 1(2):141-158, 1997. yEI M005531/98 ga97aJiminLiu.


Distributed Problem Solving Without Communication - An.. - Liu, Jin, Han (2002)   (1 citation)  Self-citation (Liu)   (Correct)

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J. Liu, Y. Y. Tang and Y. Cao, "An evolutionary autonomous agents approach to image feature extraction," IEEE Trans. Evolut. Comput. 1 (1997) 141--158.


From ALife Agents to a Kingdom of N Queens - Jing, Liu, Al. (1999)   (1 citation)  Self-citation (Liu)   (Correct)

....whose behaviors are both easy to define and implement. ALife based evolutionary computation is concerned with applying the computational models of evolutionary processes to either achieving intelligent agent behaviors or solving real life computation intensive engineering problems [7 9]. Using ALife techniques as an approach to solving N queen problems is a newly explored area of ALife research. At the same time, it also represents a new direction for CSPs studies. The remainder of this paper is organized as follows: Section II states the key ideas behind our ALife based agent ....

Jiming Liu, et al., An evolutionary autonomous agents approach to image feature extraction. IEEE Transactions on Evolutionary Computation, Vol.1, No.2, (1997) pp.141-158.


Adaptive Image Segmentation with Distributed Behavior-Based Agents - Liu, Tang (1999)   (1 citation)  Self-citation (Liu Tang)   (Correct)

....other experiments in which different classes of agents were defined to extract both the borders and the homogeneous regions of complex images. In particular, we have examined the use of the agent based approach in applications, such as document image analysis [3] and dynamic feature tracking [4]. Generally speaking, from our empirical validations, the following characteristics of agents can readily be noted: 1. The dynamical behaviors of the agents are simple and well defined. 2. At each time step, the agents sense, and react to, only a small number of neighbors. 3. The different breeds ....

Jiming Liu, Y. Y. Tang, and Y. C. Cao. An evolutionary autonomous agents approach to image feature extraction. IEEE Transactions on Evolutionary Computation, 1(2):141--158, 1997.

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