A Review of Evolutionary Multiobjective Optimization Applications in the Area of Production Research   [EMO] [MO]

by

Dimopoulos, C.

Literature search on Evolutionary ComputationBBase ©1999-2013, Rasmus K. Ursem
     Home · Search · Adv. search · Authors · Login · Add entries   Webmaster
Note to authors: Please submit your bibliography and contact information - online papers are more frequently cited.

Info: Proceedings of the 2004 IEEE Congress on Evolutionary Computation (Conference proceedings), 2004, p. 1487-1494
Keywords:Multiobjective evolutionary algorithms
Abstract:
Evolutionary computation methods [EC] [ECM] have been used extensively in the past for the solution of manufacturing optimization problems. [MO] This paper examines the impact of the fast-growing evolutionary multiobjective optimization field [EMO] [MO] in this area of research. A considerable number of significant applications are reported for a wide range of relevant optimization problems. The review of these applications leads to a number of conclusions and establishes directions for future research
Notes:
CEC 2004 - A joint meeting of the IEEE, the EPS, and the IEE.
Internet search:Search Google
Search Google Scholar
Search Citeseer using Google
Search Google for PDF
Search Google Scholar for PDF
Search Citeseer for PDF using Google

Review item:

Mark as doublet (will be reviewed)

Print entry




BibTex:
@InProceedings{Dimopoulos:2004:ARoEMOAitAoPR,
  title     = {A Review of Evolutionary Multiobjective Optimization Applications in the Area of Production Research},
  author    = {Christos Dimopoulos},
  pages     = {1487--1494},
  booktitle = {Proceedings of the 2004 IEEE Congress on Evolutionary Computation},
  year      = {2004},
  publisher = {IEEE Press},
  month     = {20-23 June},
  address   = {Portland, Oregon},
  ISBN      = {0-7803-8515-2},
  keywords  = {Multiobjective evolutionary algorithms},
  abstract  = {
Evolutionary computation methods have been used extensively in the past for
the solution of manufacturing optimization problems. This paper examines the
impact of the fast-growing evolutionary multiobjective optimization field in
this area of research. A considerable number of significant applications are
reported for a wide range of relevant optimization problems. The review of
these applications leads to a number of conclusions and establishes directions
for future research
},
  notes     = {CEC 2004 - A joint meeting of the IEEE, the EPS, and the IEE.},
}