By Yuting Liu, Zhi-Ming Ma (auth.), Bo Chen (eds.)
While the components of knowledge administration and administration technological know-how are choked with algorithmic demanding situations, the proliferation of information has referred to as for the layout of e?cient and e?ective algorithms and knowledge constructions for his or her administration and processing. The overseas convention on Algorithmic points in details and Management(AAIM) is meant for originalalgorithmicresearchon rapid purposes and/or basic difficulties pertinent to info mana- ment and administration technological know-how to be extensively construed. The convention goals at bringing jointly researchers in machine technological know-how, operations study, utilized arithmetic, economics, and similar disciplines. This quantity comprises papers provided at AAIM 2010: the sixth foreign convention on Algorithmic points in info and administration, which was once held in the course of July 19-21, 2010, in Weihai, China. We got a complete of fifty s- missions.Eachsubmissionwasreviewedbythreemembersof the ProgramC- mittee or their deputies at the caliber, originality, soundness, and signi?cance of its contribution. The committee made up our minds to simply accept 31 papers. this system additionally incorporated invited keynote talks. The luck of the convention resulted from the enter of many of us. we wish ?rst of all to thank the entire contributors of this system Committee for his or her professional review of the submissions. The neighborhood organizers within the tuition of computing device technology and expertise, Shandong collage, did a unprecedented task, for which we're very thankful. We thank the nationwide usual technology origin of China, Montana nation collage (USA), college of Warwick (UK), and Shandong college (China) for his or her sponsorship.
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Extra info for Algorithmic Aspects in Information and Management: 6th International Conference, AAIM 2010, Weihai, China, July 19-21, 2010. Proceedings
25–34, 2010. M. Arkin, N. Guttmann-Beck, and R. Hassin • We present a K − 1 simple approximation algorithm, this algorithm is suitable for small values of K. • We also present a 6-approximation algorithm which is suitable for all values of K. – For k = 2 we present a 10-approximation algorithm, suitable for all values of K. – We present a 21-approximation algorithm suitable for all values of (K, k). – We consider a generalization of the problem where each node v ∈ V has its capacity kv , we present an (2 + α)-approximation algorithm for α which bounds the ratio between the maximal and minimal node capacities.
Dl , H(i, j) = l=i k=i+1 If i > j, we deﬁne d(i, j) = 0, h(i, j) = 0 and H(i, j) = 0. By this deﬁnition, we can calculate d(i, j), h(i, j) and H(i, j) in O(T 2 ) time for all i and j with 1 ≤ i ≤ j ≤ T. In practical situation, the more frequently an item is ordered or dispatched, the more favorable its relevant cost is. Considering this situation, we assume that for each n ∈ S1 ∪ S2 , Knt , Ant , cnt and ht are non-increasing functions on t, and rnt is a non-decreasing function on t. In other words, for 1 ≤ t ≤ T − 1, we have Knt ≥ Kn,t+1 , Ant ≥ An,t+1 , cnt ≥ cn,t+1 , ht ≥ ht+1 and rnt ≤ rn,t+1 .
Acta Mathematicae Applicatae Sinica 26(1), 33–40 (2010) 7. : The Steiner Tree Problem, Amsterdam (1992) 8. : Reducibility among combinatorial problems. W. ) Complexity of Computer Computations, pp. 85–103. Plenum Press, New York (1972) 9. : The fractional prize collecting Steiner tree problem on trees. , Zwick, U. ) ESA 2003. LNCS, vol. 2832, pp. 691–702. Springer, Heidelberg (2003) 10. : Strong lower bounds for the prize collecting Steiner tree problem in graphs. Discrete Applied Mathematics 141, 277–294 (1979) 11.