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

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.

published proceedings

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

citation count

  • 0

complete list of authors

  • Ashley, Victoria M||Linke, Patrick

publication date

  • January 2005