Download Computational Logistics: Second International Conference, by Heiner Ackermann, Hendrik Ewe, Herbert Kopfer, Karl-Heinz PDF

By Heiner Ackermann, Hendrik Ewe, Herbert Kopfer, Karl-Heinz Küfer (auth.), Jürgen W. Böse, Hao Hu, Carlos Jahn, Xiaoning Shi, Robert Stahlbock, Stefan Voß (eds.)

This publication constitutes the refereed complaints of the second one foreign convention on Computational Logistics, ICCL 2011, held in Hamburg, Germany, in September 2011.
The 26 revised complete papers provided have been rigorously reviewed and chosen from various submissions. The papers are equipped in topical sections on delivery prone, logistics structures and creation, and maritime delivery and box terminals.

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The set of transport contracts which are covered by b is denoted by τ (b), i. , τ (b) ⊆ T . Likewise, τ (X) denotes the set of transport contracts that are covered by solution X, i. , τ (X) ⊆ T . The rating operators are defined as follows: P (b, X) = ∞ pb |τ (b)\τ (X)| if | τ (b) \ τ (X) |= 0 , else. (6) 22 T. Buer and H. Kopfer ⎧ ⎪ ⎨∞ f2 (X ∪ {b}) − f2 (X) Q(b, X) = ⎪ ⎩− | τ (b ) | if f2 (X ∪ {b}) − f2 (X) = 0 , else. (7) b ∈X∪{b} The rating operator P (b, X), defined in (6), divides the price pb of bundle bid b by the number of transport contracts that are not yet covered by the current solution X.

1 as a quality measure for an approximation set. 2 and compared to the results computed by three other heuristics for the 2WDP-SC described in [1] and [2]. 1 The Hypervolume-Indicator as a Quality Measure for Approximation Sets The comparison of heuristics for single objective optimization problems is often done by comparing the objective function values of the best found solutions. In multi objective optimization, the heuristics compute an approximation set. Even for a single run on a single instance we have to compare sets of solutions which 24 T.

Combinatorial auctions. INFORMS J. Comput. 15(3), 284–309 (2003) 29. : Combinatorial bid generation problem for transportation service procurement. de Abstract. Combinatorial reverse auctions can be used by shippers in order to procure transportation services from carriers. After carriers have submitted their bids, a shipper has to decide about the allocation of transport services to carriers, i. , a shipper has to solve the winner determination problem of the auction. This paper focuses on a bicriteria winner determination problem in which a shipper has to select a subset of the set of bids and simultaneously decide about the desired trade-off between total transportation costs and the quality of the entire transportation services.

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