Multi-objective optimization of an industrial styrene reactor using Harmony Search Algorithm

نویسندگان

  • Saurabh Shukla
  • Ankit Anand
چکیده

Multi-objective optimization of industrial styrene reactor is done using Harmony Search algorithm. Harmony search algorithm is a recently developed meta-heuristic algorithm which is inspired by musical improvisation process aimed towards obtaining the best harmony. Three objective functions – productivity, selectivity and yield are optimized to get best combination of decision variables for styrene reactor. All possible cases of single and multi-objective optimization have been considered. Pareto optimal sets are obtained as a result of the optimization study. Results reveal that optimized solution using harmony search algorithm gives better operating conditions than industrial practice. KeywordsSimulation ; Polymer processing ; Styrene ; Multiobjective optimization ; Harmony Search

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تاریخ انتشار 2011