Erik Rolland

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OPTICAL NETWORKS MAGAZINE: ISSN 1388-6916 is published bimonthly in 2001 by SPIE—The International Society for Optical Engineering, P.O. Box 10, Bellingham WA 98227-0010 USA and Kluwer Academic Publishers, 101 Philip Drive, Norwell, MA 02061 USA. Articles and reviews published herein reflect the opinion of the author(s); inclusion of articles and(More)
Reverse distribution, or the management of product return flows, induced by various forms of reuse of products and materials, has received growing attention throughout this decade. In this paper we discuss reverse distribution, and propose a mathematical programming model for a version of this problem. Due to the complexity of the proposed model, we(More)
In this paper we propose a hybrid memory adaptive heuristic for solving the Capacitated Minimum Spanning Tree (CMST) problem. We augment the problem formulation with additional non-redundant constraints via use of adaptive memory, to improve upon the performance of an elementary heuristic (the Esau-Williams heuristic). Our methodology is tested against many(More)
1 School of Management, The University of Texas at Dallas, Richardson, Texas. email: hpirkul@utdallas.edu 2 Department of Management, Oklahoma State University, Stillwater Ok, 74078 email: rgupta@okway.okstate.edu 3 Department of Accounting and MIS, The Ohio State University, Columbus, Ohio 43210 email: rolland@cob.ohio-state.edu Abstract. In this paper we(More)
In this paper we propose a new formulation for the bandwidth packing problem (BWP) in telecommunications networks. This problem is one of selecting calls, from a list of requests, to be routed in the telecommunications network. We consider both revenue losses and costs associated with communications delay as parts of the objective. An ecient Lagrangean(More)
Sentiment analysis or opinion mining is the field of computational study of people's opinion expressed in written language or text. Sentiment analysis brings together various research areas such as natural language processing, data mining and text mining, and is fast becoming of major importance to organizations as they integrate online commerce into their(More)
It is the purpose of this paper to investigate effects of adding randomization to a memory-based heuristic. The algorithms we propose are applied to the Capacitated Minimum Spanning Tree problem (CMST), and we study the combined effects of simultaneously applying a memory-based and a randombased heuristic to the CMST. This paper uses the Adaptive Reasoning(More)