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M. Krishnamoorthy
Information about the author M. Krishnamoorthy will soon be added to the site.
Found
13 papers
in total
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Hub arc location problems: Part I – introduction and results
2005
Hub networks play an important role in many transportation and telecommunications...
Hub arc location problems: part II – formulations and optimal algorithms
2005
A companion paper introduces new hub arc location models and analyzes optimal...
Staff scheduling and rostering: A review of applications, methods and models
2004
This paper presents a review of staff scheduling and rostering, an area that has...
An annotated bibliography of personnel scheduling and rostering
2004
Computational methods for rostering and personnel scheduling have been a subject of...
Displacement problem and dynamically scheduling aircraft landings
2004
In this paper we define a generic decision problem – the displacement problem....
An integrated optimization model for train crew management
2001
Train crew management involves the development of a duty timetable for each of the...
Scheduling aircraft landings – the static case
2000
In this paper, we consider the problem of scheduling aircraft (plane) landings at an...
An exact solution approach based on shortest-paths for p-hub median problems
1998
The problem of locating hub facilities arises in the design of transportation and...
Traditional heuristic versus Hopfield neural network approaches to a car sequencing problem
1996
This paper considers the problem of optimally sequencing different car models along an...
Staff rostering at a large international airport
1997
The human resource planning and scheduling system described in this paper assists in...
Staff rostering at a large international airport
1996
The human resource planning and scheduling system described in this paper was designed...
Neural versus traditional approaches to the location of interacting hub facilities
1996
This paper considers the optimal location of interacting hub facilities. Using the...
A hybrid neural approach to combinatorial optimization
1996
Both the Hopfield neural network and Kohonen’s principles of self-organization...
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