<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Shelokar, P. S.</style></author><author><style face="normal" font="default" size="100%">Jayaraman, Valadi K.</style></author><author><style face="normal" font="default" size="100%">Kulkarni, B. D.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Multicanonical jump walk annealing assisted by tabu for dynamic optimization of chemical engineering processes</style></title><secondary-title><style face="normal" font="default" size="100%">European Journal of Operational Research</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">dynamic optimization</style></keyword><keyword><style  face="normal" font="default" size="100%">metaheuristics</style></keyword><keyword><style  face="normal" font="default" size="100%">Monte Carlo simulations</style></keyword><keyword><style  face="normal" font="default" size="100%">multicanonical algorithms</style></keyword><keyword><style  face="normal" font="default" size="100%">simulated annealing</style></keyword><keyword><style  face="normal" font="default" size="100%">tabu conditions</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2008</style></year><pub-dates><date><style  face="normal" font="default" size="100%">MAR</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">3</style></number><publisher><style face="normal" font="default" size="100%">ELSEVIER SCIENCE BV</style></publisher><pub-location><style face="normal" font="default" size="100%">PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS</style></pub-location><volume><style face="normal" font="default" size="100%">185</style></volume><pages><style face="normal" font="default" size="100%">1213-1229</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;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.&lt;/p&gt;</style></abstract><issue><style face="normal" font="default" size="100%">3</style></issue><custom3><style face="normal" font="default" size="100%">Foreign</style></custom3><custom4><style face="normal" font="default" size="100%">2.158</style></custom4></record></records></xml>