Multiobjective optimization of a microchannel heat sink using evolutionary Algorithm

Afzal Husain, Kwang Yong Kim*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

28 Citations (Scopus)


A multiobjective performance optimization of microchannel heat sink is carried out numerically applying surrogate analysis and evolutionary algorithm. Design variables related to microchannel width, depth, and fin width are selected, and two objective functions, thermal resistance and pumping power, are employed. With the help of finite volume solver, Navier-Stokes analyses are performed at the design sites obtained from full factorial design of sampling methods. Using the numerically evaluated objective function values, polynomial response surface is constructed for each objective functions, and multiobjective optimization is performed to obtain global Pareto optimal solutions. Analysis of optimum solutions is simplified by carrying out trade-off with design variables and objective functions. Objective functions exhibit changing sensitivity to design variables along the Pareto optimal front.

Original languageEnglish
Pages (from-to)1-3
Number of pages3
JournalJournal of Heat Transfer
Issue number11
Publication statusPublished - Nov 2008
Externally publishedYes


  • Electronic cooling
  • Evolutionary algorithm
  • Microchannel
  • Multiobjective optimization
  • Numerical simulation

ASJC Scopus subject areas

  • Materials Science(all)
  • Condensed Matter Physics
  • Mechanics of Materials
  • Mechanical Engineering


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