By Giuseppe Castagna (auth.), Mario Coppo, Elena Lodi, G. Michele Pinna (eds.)
This publication constitutes the refereed court cases of the ninth overseas convention on Theoretical machine technological know-how, ICTCS 2005, held on the Certosa di Pontignano, Siena, Italy, in October 2005.
The 29 revised complete papers provided including an invited paper and abstracts of two invited talks have been conscientiously reviewed and chosen from eighty three submissions. The papers handle all present concerns in theoretical machine technology and concentration specially on research and layout of algorithms, computability, computational complexity, cryptography, formal languages and automata, foundations of programming languages and application research, typical computing paradigms (quantum computing, bioinformatics), software specification and verification, time period rewriting, concept of logical layout and format, kind conception, protection, and symbolic and algebraic computation.
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Extra resources for Theoretical Computer Science: 9th Italian Conference, ICTCS 2005, Siena, Italy, October 12-14, 2005. Proceedings
Reynolds. Types, abstractions and parametric polymorphism. A. Mason, editor, Information Processing ’83, pages 513–523. North-Holland, 1983. D. Sangiorgi and D. Walker. The π-calculus. Cambridge University Press, 2002. N. Yoshida and M. Hennessy. Assigning types to processes. In Proc. of the 15th IEEE Symposium on Logic in Computer Science, pages 334–348, 2000. Nobuko Yoshida. Channel dependent types for higher-order mobile processes. In POPL ’04: Proceedings of the 31st ACM SIGPLAN-SIGACT symposium on Principles of programming languages, pages 147–160.
The VRPB involves both a set of customers to whom products are to be delivered and a set of vendors whose products need to be transported back to the depot, and the critical assumption is that all deliveries must be made on each route before any pickups can be made. In this paper, we consider a new extension of the classical VRP motivated by a real-world routing situation, called the Pickup and Delivery for Moving Objects (PDMO) problem: Given manufacture products initially located on numbers of convey belts in arbitrary positions, the robot arm must grasp and deliver the products to the ﬁxed position (depot).
Ii) (Pickup) R can start from O at time sj , move onto the path of bij , and then grasp bij . Namely, bij arrives at the point where R is waiting for bij to come. (iii) (Delivery) R can move back to O at time gj , and gj ≤ sj+1 (except for the last one). We simply call a turn of pickup and delivery of an object, collect the object. A scheduling is valid if the three conditions (i), (ii), and (iii) are satisﬁed. We assume that the robot arm can stop only at the origin and makes no detour to move to any position, because a general scheduling can be transformed easily to such a scheduling without decreasing the number of objects to be collected.