Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/43983
Type of publication: Straipsnis konferencijos medžiagoje Clarivate Analytics Web of Science ar/ir Scopus / Article in Clarivate Analytics Web of Science or Scopus DB conference proceedings (P1a)
Field of Science: Informatika / Informatics (N009)
Author(s): Fraga, E.S;Mackutė, Aušra;Žilinskas, Antanas
Title: Empirical study of multimodality of objective function in optimal process design
Is part of: Modelling and simulation of business systems: international conference, May 13-14, 2003, Vilnius, Lithuania. Kaunas : Technologija, 2003
Extent: p. 18-21
Date: 2003
Keywords: Optimal process design;Multimodal objective function;Optimization methods
ISBN: 9955094206
Abstract: Optimization problems in optimal process design are considered. A model problem is a typical problem of process design in chemical engineering. The chemical process as well as the economic criteria are modeled by the software package Jacaranda [1]. Several well known local search algorithms have been tested. The unsatisfactory results are commented. Recommendations for model and optimization method development are presented
Internet: https://hdl.handle.net/20.500.12259/43983
Affiliation(s): Informatikos fakultetas
Vytauto Didžiojo universitetas
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

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