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Diagonal Method to Measure Synergy Among Any Number of Drugs
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Harmony search method: theory and applications.

X Z Gao1, V Govindasamy2, H Xu3

  • 1Department of Electrical Engineering and Automation, Aalto University School of Electrical Engineering, 00076 Aalto, Finland.

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|May 7, 2015
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Summary
This summary is machine-generated.

The Harmony Search (HS) method, a metaheuristic optimization algorithm, is reviewed for its applications. A modified HS approach was successfully applied to optimize wind generator design.

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Area of Science:

  • Computational intelligence
  • Engineering optimization

Background:

  • The Harmony Search (HS) method is a widely used metaheuristic optimization algorithm.
  • It has been applied to various complex problems over the last decade.

Purpose of the Study:

  • To review the essential theory and applications of the HS algorithm.
  • To present a modified HS method for optimal design problems.

Main Methods:

  • Review of the original HS algorithm and its variants.
  • Development of a modified HS method incorporating Pareto-dominance-based ranking.
  • Application of the modified HS to a wind generator optimal design problem.

Main Results:

  • The paper provides a comprehensive overview of HS theory and applications.
  • A novel modified HS method is presented.
  • The modified HS method demonstrates effectiveness in solving the wind generator optimal design problem.

Conclusions:

  • The Harmony Search algorithm is a versatile tool for optimization.
  • The proposed modified HS method offers a promising approach for engineering design challenges.
  • Further research can explore additional applications of this modified HS technique.