Computation of the Optimal Value of Operating Parameters in a Reactor – Heat Exchanger System by Differential Evolution Techniques
Gopalakrishnan.B1, P.K.Bhaba2
1Gopalakrishnan.B, Asst. Prof, Department of Chemical Engg, Annamalai University, Annamalai Nagar (Tamil Nadu), India.
2Dr. P.K. Bhaba, Prof, Department of Chemical Engg, Annamalai University, Annamalai Nagar, (Tamil Nadu), India.
Manuscript received on 21 January 2013 | Revised Manuscript received on 28 January 2013 | Manuscript published on 30 January 2013 | PP: 30-33 | Volume-1 Issue-6, January 2013 | Retrieval Number: F0400021613/2013©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In this research work, the modern soft computing technique of Differential Evolution (DE) algorithm is considered to determine global optimal values of the operating parameters in a Reactor Heat Exchanger (RHE) system. In addition, a penalty term is incorporated in the objective function and thereby computing annual cost of the RHE system in terms of operating and investment costs. A comparative study is also made with Genetic Algorithm (GA) in RHE system. Results clearly indicate the supremacy of DE for global optimization of operating parameters in RHE system. A convergence test is performed and reported here.
Keywords: Optimization, Differential Evolution Algorithm, Genetic Algorithm, Reactor – Heat Exchanger System.
Scope of the Article: Discrete Optimization