Handbook of Bioinspired Algorithms and Applications (Chapman by Stephan Olariu, Albert Y. Zomaya

By Stephan Olariu, Albert Y. Zomaya

The mystique of biologically encouraged (or bioinspired) paradigms is their skill to explain and clear up complicated relationships from intrinsically extremely simple preliminary stipulations and with very little wisdom of the quest area. Edited by way of favorite, well-respected researchers, the guide of Bioinspired Algorithms and purposes finds the connections among bioinspired recommendations and the advance of strategies to difficulties that come up in diversified challenge domains.A repository of the idea and basics in addition to a handbook for useful implementation, this authoritative guide offers vast insurance in one resource in addition to quite a few references to the to be had literature for extra in-depth info. The book's sections serve to stability insurance of conception and useful purposes. the 1st part explains the basics of innovations, reminiscent of evolutionary algorithms, swarm intelligence, mobile automata, and others. special examples and case experiences within the moment part illustrate the right way to follow the idea in truly constructing suggestions to a specific challenge in response to a bioinspired technique.Emphasizing the significance of realizing and harnessing the strong services of bioinspired concepts for fixing computationally intractable optimizations and decision-making functions, the guide of Bioinspired Algorithms and purposes is an absolute must-read for somebody who's fascinated by advancing the following new release of computing.

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Extra info for Handbook of Bioinspired Algorithms and Applications (Chapman & Hall CRC Computer & Information Science Series), 1st Edition

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1 Introduction Artificial Neural Networks have been one of the most active areas of research in computer science over the last 50 years with periods of intense activity interrupted by episodes of hiatus [1]. The premise for the evolution of the theory of artificial Neural Networks stems from the basic neurological structure of living organisms. A cell is the most important constituent of these life forms. These cells are connected by “synapses,” that are the links that carry messages between cells.

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An online GA-based output-feedback direct adaptive fuzzy-neural controller for uncertain nonlinear systems. IEEE Transactions on Systems, Man and Cybernetics, Part B, 34, 2004, 334–345. -P. Stable neural controller design for unknown nonlinear systems using backstepping. IEEE Transactions on Neural Networks, 11, 2000, 1347–1360. , and Lee, G. Developing evolutionary neural controllers for teams of mobile robots playing a complex game. In Proceedings of the IEEE International Conference on Information Reuse and Integration, October 27–29, 2003, pp.

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