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  • Discriminant Function  (1)
  • GRASP  (1)
  • Springer  (2)
  • American Institute of Physics
  • 1
    Electronic Resource
    Electronic Resource
    Springer
    Journal of productivity analysis 6 (1995), S. 171-186 
    ISSN: 1573-0441
    Keywords: Data Envelopment Analysis (DEA) ; Frontier Estimation ; Goal Programming (GP) ; Discriminant Function
    Source: Springer Online Journal Archives 1860-2000
    Topics: Economics
    Notes: Abstract This paper describes a new frontier estimation procedure which relies on results obtained from Data Envelopment Analysis (DEA). The paper reviews some of the earlier works in this area and points out potential difficulties with them. It further suggests ways to validate such developments. A procedure is constructed on the basis of a Goal Programming (GP)-Discriminant Function model developed in stages during the 1980s. A numerical example is used to illustrate the proposed procedure. Then, an extensive simulation in which the GP-based procedure is compared to three regression-based techniques is presented. The simulation results clearly indicate the superiority of the proposed technique over the regression alternatives.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Journal of combinatorial optimization 1 (1997), S. 211-228 
    ISSN: 1573-2886
    Keywords: GRASP ; airline scheduling ; real-time control ; irregular operations
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Abstract This paper presents a greedy randomized adaptive search procedure (GRASP) to reconstruct aircraft routings in response to groundings and delays experienced over the course of the day. Whenever the schedule is disrupted, the immediate objective of the airlines is to minimize the cost of reassigning aircraft to flights taking into account available resources and other system constraints. Associated costs are measured by flight delays and cancellations. In the procedure, the neighbors of an incumbent solution are generated and evaluated, and the most desirable are placed on a restricted candidate list. One is selected randomly and becomes the incumbent. The heuristic is polynomial with respect to the number of flights and aircraft. This is reflected in our computational experience with data provided by Continental Airlines. Empirical results demonstrate the ability of the GRASP to quickly explore a wide range of scenarios and, in most cases, to produce an optimal or near-optimal solution.
    Type of Medium: Electronic Resource
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