Simultaneous Heat Transfer Search

バージョン 1.0.0.0 (2.67 KB) 作成者: SKS Labs
Single Objective Heat Transfer Search (Termination Criterion: Number of iterations)
ダウンロード: 210
更新 2018/1/21

ライセンスの表示

Simultaneous Heat Transfer Search is a single objective optimization technique for unconstrained problems. Unlike the Heat Transfer Search which uses only one mode of heat transfer in a single iteration, SHTS divides the population and utilizes simultaneous heat transfer through all the three modes. Other major differences with HTS can be obtained from the following references.
[1] Simultaneous heat transfer search for computationally expensive numerical optimization
2016 IEEE Congress on Evolutionary Computation, (CEC), 2016, pp. 2982-2988;
http://ieeexplore.ieee.org/document/7744166/

[2] Simultaneous Heat Transfer Search for single objective real-parameter numerical optimization problem
Region 10 Conference (TENCON) 2016 IEEE, pp. 2138-2141, 2016
http://ieeexplore.ieee.org/document/7848404/

Note:
(i) If N is the size of the population, exactly N functional evaluations are required in a complete iteration of SHTS. If there are T iterations, then the total number of functional evaluations will be NT + N. This is because NT evaluations are required for all the iterations and the N population members are to be evaluated before the start of the iteration.
(ii) SHTS has two user defined parameters, viz., (i) Population Size and (ii) the number of iterations (or an alternate termination criterion).
(iii) SHTS is monotonically convergent.
(iv) SHTS required the population size to be an integral multiple of 6. However this implementation eliminates this restriction by appropriately dividing the population.

引用

SKS Labs (2024). Simultaneous Heat Transfer Search (https://www.mathworks.com/matlabcentral/fileexchange/65784-simultaneous-heat-transfer-search), MATLAB Central File Exchange. 取得済み .

MATLAB リリースの互換性
作成: R2017b
すべてのリリースと互換性あり
プラットフォームの互換性
Windows macOS Linux
カテゴリ
Help Center および MATLAB AnswersDirect Search についてさらに検索

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
バージョン 公開済み リリース ノート
1.0.0.0

Updated the description