Get Artificial Intelligence and Security in Computing Systems: PDF

By Facchinetti Gisella, Franci Francesco, Mastroleo Giovanni, Pagliaro Vittorio (auth.), Jerzy Sołdek, Leszek Drobiazgiewicz (eds.)

ISBN-10: 144199226X

ISBN-13: 9781441992260

ISBN-10: 1461348471

ISBN-13: 9781461348474

Artificial Intelligence and safeguard in Computing Systems is a peer-reviewed convention quantity concentrating on 3 parts of perform and study development in details applied sciences:

-Methods of synthetic Intelligence offers tools and algorithms that are the foundation for functions of man-made intelligence environments.
-Multiagent Systems comprise laboratory study on multiagent clever platforms in addition to upon their purposes in transportation and data platforms.
-Computer safety and Safety provides concepts and algorithms for you to be of serious curiosity to practitioners. ordinarily, they specialise in new cryptographic algorithms (including a symmetric key encryption scheme, hash services, mystery iteration and sharing schemes, and safe facts storage), a proper language for coverage entry keep an eye on description and its implementation, and probability administration equipment (used for non-stop research either in dispensed community and software program improvement projects).

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Additional resources for Artificial Intelligence and Security in Computing Systems: 9th International Conference, ACS’ 2002 Międzyzdroje, Poland October 23–25, 2002 Proceedings

Example text

32 5. SUMMARY The paper presents a problem of vessel traffic optimisation using a method of linear programming with fuzzy coefficients. The case of Szczecin-Swinoujscie fairway has been discussed. The L-R representation of fuzzy numbers has been used for the description of constraint coefficients. The form of fuzzy constraints for linear programming problems is necessary in the case when accurate values of constraint coefficients are not known. By transforming fuzzy constraints into non-fuzzy linear constraints we can conventional methods for solving a linear programming problem .

Key words: vessel traffic, optimization, fuzzy linear programming 1. INTRODUCTION The problem of vessel traffic management in narrow fairways can be formulated as the optimization of passage times of vessels in compliance with the regulations in force . This optimization consists of the determination of optimal times of vessels entering the fairway and maintaining proper speeds at particular fairway sections. In reality certain allowance is made for deviations from fixed values of constraint coefficients and variables.

30 The calculated value of objective function (OF) is used as an assessment criterion: OF= j(E'P~Q,a,a,a (28) The results are presented in Figures la, lb and 2a, 2b. The results of solutions of fuzzy problems are worse than those of determined problems. This is due to the introduction of additional constra ints, narrowing the area of admissible solutions. The results become worse as the level of aspiration E increases in the fulfilment of fuzzy inequalities. 2 ao 6 . 6 . la. Case for OF=j(e,p) , !!

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Artificial Intelligence and Security in Computing Systems: 9th International Conference, ACS’ 2002 Międzyzdroje, Poland October 23–25, 2002 Proceedings by Facchinetti Gisella, Franci Francesco, Mastroleo Giovanni, Pagliaro Vittorio (auth.), Jerzy Sołdek, Leszek Drobiazgiewicz (eds.)


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