Michael Schwind
Goethe University Frankfurt
68 Papers
472 Citations
Michael Schwind is an academic researcher from Goethe University Frankfurt. The author has contributed to research in topics: Combinatorial auction & Vehicle routing problem. The author has an hindex of 14, co-authored 68 publications. Previous affiliations of Michael Schwind include Kaiserslautern University of Technology & University of Mannheim.
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Papers
An Adaptive Variable Neighborhood Search Algorithm for a Vehicle Routing Problem Arising in Small Package Shipping
TL;DR: An effective Variable Neighborhood Search algorithm based on the use of cyclic-exchange neighborhoods that incorporates an adaptive mechanism to bias the random shaking step is developed and successfully used to solve MDVRPPC.
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Scale-free networks
TL;DR: An example will be used in this article to illustrate the potential value of the discovery of scale-free networks for applications in information systems related research, and their usefulness for realistic network modeling.
100
A combinatorial intra-enterprise exchange for logistics services
TL;DR: It is demonstrated that by using the ComEx mechanism, the total cost of transportation of the logistics company can be reduced by up to 14% since the iterative auction mechanism is very complex and therefore resource-intensive.
55
Location Routing for Small Package Shippers with Subcontracting Options
TL;DR: In this article, a hybrid heuristic solution method based on simulated annealing for the location phase and variable neighborhood search for the routing is presented, which integrates the choice between self-operating and subcontracting a depot.
35
SLIM--A Lightweight Environment for Synchronous Collaborative Modeling
Christian Thum,Michael Schwind,Martin Schader +2 more
- 01 Oct 2009
TL;DR: This paper presents a prototypical implementation of a collaborative editor for synchronous lightweight modeling (SLIM) and applies innovative techniques, which only rely on functionality natively supported by modern web browsers, technical issues impeding clients to be integrated into the collaborative environment are avoided and ad hoc collaboration is facilitated.
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