An Application Service Provider Approach For Hybrid Evolutionary Algorithm-based Real-world Flexible Job Shop Scheduling Problem

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{Tanev:2002:gecco,
  author =       "Ivan T. Tanev and Takashi Uozumi and 
                 Yoshiharu Morotome",
  title =        "An Application Service Provider Approach For Hybrid
                 Evolutionary Algorithm-based Real-world Flexible Job
                 Shop Scheduling Problem",
  booktitle =    "GECCO 2002: Proceedings of the Genetic and
                 Evolutionary Computation Conference",
  editor =       "W. B. Langdon and E. Cant{\'u}-Paz and K. Mathias and 
                 R. Roy and D. Davis and R. Poli and K. Balakrishnan and 
                 V. Honavar and G. Rudolph and J. Wegener and 
                 L. Bull and M. A. Potter and A. C. Schultz and J. F. Miller and 
                 E. Burke and N. Jonoska",
  year =         "2002",
  pages =        "1219--1226",
  address =      "New York",
  publisher_address = "San Francisco, CA 94104, USA",
  month =        "9-13 " # jul,
  publisher =    "Morgan Kaufmann Publishers",
  keywords =     "genetic algorithms, genetic programming, real world
                 applications, application service, evolutionary
                 algorithm, job shop scheduling, provider",
  ISBN =         "1-55860-878-8",
  URL =          "http://www.cs.bham.ac.uk/~wbl/biblio/gecco2002/RWA307.pdf",
  URL =          "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gecco2002/gecco-2002-20.pdf",
  abstract =     "scheduling of customers' orders in factories of
                 plastic injection machines (FPIM) as a case of
                 real-world flexible job shop scheduling problem (FJSS).
                 The objective of discussed work is to provide FPIM with
                 high business speed which implies (a) providing a
                 customers with convenient way for remote online access
                 to the factory's database and (b) developing an
                 efficient scheduling routine for planning the
                 assignment of the submitted customers' orders to FPIM
                 machines. Remote online access to FPIM database,
                 approached via delivering the software as a Web-service
                 in accordance with the application service provider
                 (ASP) paradigm is proposed. As an approach addressing
                 the issue of efficient scheduling routine a hybrid
                 evolutionary algorithm (HEA) combining
                 priority-dispatching rules (PDRs) with GA, is
                 developed. An implementation of HEA as a database
                 stored procedure is discussed. Performance evaluation
                 results are presented. The results obtained for
                 evolving a schedule of 400 customers' orders on
                 experimental model of FPIM indicate that the business
                 delays in order of half an hour can be achieved.",
  notes =        "GECCO-2002. A joint meeting of the eleventh
                 International Conference on Genetic Algorithms
                 (ICGA-2002) and the seventh Annual Genetic Programming
                 Conference (GP-2002)",
}

Genetic Programming entries for Ivan T Tanev Takashi Uozumi Yoshiharu Morotome

Citations