On the development and implementation of knowledge-driven optimisation schemes: an application in non-isothermal reactor network synthesis Academic Article

abstract

• Knowledge driven optimisation has been developed in an attempt to overcome difficulties in applying existing reactor network synthesis methods to complex systems. Knowledge derived from kinetic relationships is applied to superstructure optimisation in the form of a customised rule-based Tabu Search where rules are used to guide optimisation decisions. Nonisothermal behaviour is represented using temperature profiles along the length of a reactor. Results show the method outperforms a standard Tabu Search both in solution quality and speed of convergence. 2005 Elsevier B.V. All rights reserved.

authors

• Linke, Patrick

published proceedings

• EUROPEAN SYMPOSIUM ON COMPUTER-AIDED PROCESS ENGINEERING-15, 20A AND 20B

author list (cited authors)

• Ashley, V. M., & Linke, P.

citation count

• 2

complete list of authors

• Ashley, VM||Linke, P

publication date

• December 2005

publisher

• Elsevier  Publisher

published in

• Computer Aided Chemical Engineering  Journal

keywords

• Data Mining
• Knowledge Driven Optimisation

Digital Object Identifier (DOI)

• 10.1016/s1570-7946(05)80151-8

start page

• 175

end page

• 180

volume

• 20a-20b

issue

• C

URL

• http://dx.doi.org/10.1016/s1570-7946(05)80151-8