By Stewart Long, Roy Dowsing, Patrick Craven (auth.), Dr Ann Macintosh BSc, CEng, Mr Richard Ellis BSc, MSc, Dr Frans Coenen PhD (eds.)
The papers during this quantity are the referred purposes papers offered at ES 2002, the Twenty-second SGES overseas convention on wisdom established platforms and utilized synthetic Intelligence, to be held in Cambridge in the course of December 2002. the appliance flow is the most important annual exhibit in Europe of actual functions utilizing AI know-how. Papers provided during this quantity describe the applying of AI to handle real-world difficulties, together with trade, production and defence and each significant AI process; and spotlight serious parts of good fortune (and failure) and current the advantages and classes of price to different builders. this can be the 10th quantity within the purposes and thoughts in clever structures sequence. The sequence serves as a key reference as to how AI expertise has enabled organizations to resolve complicated difficulties and achieve major company merits. The Technical circulate papers are released as a significant other quantity below the name learn and improvement in clever structures XIX.
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Additional resources for Applications and Innovations in Intelligent Systems X: Proceedings of ES2002, the Twenty-second SGAI International Conference on Knowledge Based Systems and Applied Artificial Intelligence
Mowlaei 2, Y. Ghahremani 2 2 1 Atomic Energy Organization of Iran (AEOl), Tehran, Iran. Dept. of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran. 3 Iran Telecommunication research Center (ITRC), Tehran, Iran. 4 Dept. of Computer Engineering, Iran University of Science and Technology, Tehran, Iran. ir Abstract Computing the bandwidth-delay-constrained least-cost multicast routing tree is an NP-complete problem. In this paper, we propose a novel QoS-based multicru;t routing algorithm based on the genetic algorithms (GA).
A... _u, .. Jowr·e1 . , ......................... -~ ...... -.. -- ;;r"'S6 7001 • • • a = - ... )(u r ' l = . • .. 0 0 • •• (. a • a ~: _fI'ttItI P. r:: =~ ~. ; - -- = Figure 6: Viewing Post-Planning Deployment Plans • • • 0 •• • ~Oo "'--00 I 0 I . 0 ......... R •. -~ • • • •• . """"'-Y ... ,. ' ...... "'" r~~:= e-... , ... ' • • • • ... n. -. ~;~~ I C"'~ •• ____ 0 . . , . _ ' •. -... - .... "' ,~:o i"" ~OO e .... d hy ~ 30 5 Conclusions The three market drivers - globalisation, deregulation and technological innovation have highlighted the need to move from reactive to proactive resource management.
Given this background to the problem and the need for effective, fully automated, map generalisation tools within related industries, the next section presents the combinatorial complexity ofthe problem. 3 Problem size and complexity This section presents the combinatorial complexity of the problem and, specifically, emphasises the need for a heuristic search approach. The map generalisation solution presented here is a combinatorial problem the size of which depends upon the number of objects represented and the position of each object within an (x, y) coordinate space.