TSA: Tree-seed algorithm for continuous optimization

Version 1.1.0.0 (1,97 KB) von Ahmet Cevahir ÇINAR
A new optimizer to solve continuous optimization problems
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Aktualisiert 11. Mai 2018

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Tree-Seed Algorithm (TSA) is a population-based heuristic search algorithm recently proposed to solve continuous optimization problems. In TSA, trees and seeds represents the possible solution for the optimization problem. The tree population is called as the stand and the number of trees in a stand is a control parameter for TSA (known as population size in the swarm intelligence or evolutionary computation algorithms). There are two peculiar control parameters in TSA, whose names are search tendency-ST and number of seeds which will be produced for each tree-NS.
Details: http://mskiran.kisisel.selcuk.edu.tr/tsa/

Zitieren als

Ahmet Cevahir ÇINAR (2025). TSA: Tree-seed algorithm for continuous optimization (https://de.mathworks.com/matlabcentral/fileexchange/62646-tsa-tree-seed-algorithm-for-continuous-optimization), MATLAB Central File Exchange. Abgerufen.

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TSA Tree-seed algorithm for continuous optimization/

Version Veröffentlicht Versionshinweise
1.1.0.0

The total number of function evaluation counter is updated.
1.0.0.0