Multicanonical jump walk annealing assisted by tabu for dynamic optimization of chemical engineering processes

TitleMulticanonical jump walk annealing assisted by tabu for dynamic optimization of chemical engineering processes
Publication TypeJournal Article
Year of Publication2008
AuthorsShelokar, PS, Jayaraman, VK, Kulkarni, BD
JournalEuropean Journal of Operational Research
Volume185
Issue3
Pagination1213-1229
Date PublishedMAR
ISSN0377-2217
Keywordsdynamic optimization, metaheuristics, Monte Carlo simulations, multicanonical algorithms, simulated annealing, tabu conditions
Abstract

A hybrid methodology, viz., multicanonical jump walk annealing assisted by tabu list (MJWAT) is proposed for solving dynamic optimization problems in chemically reacting systems. This method combines the power of multicanonical sampling with the beneficial features of simulated annealing. Incorporating tabu list further enhances the efficiency of the method. The superior performance of the MJWAT is highlighted with the help of five benchmark case studies. (C) 2006 Elsevier B.V. All rights reserved.

DOI10.1016/j.ejor.2006.06.049
Type of Journal (Indian or Foreign)Foreign
Impact Factor (IF)2.158
Divison category: 
Chemical Engineering & Process Development