TSA: Tree-seed algorithm for continuous optimization
A new optimizer to solve continuous optimization problems
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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/
引用
Ahmet Cevahir ÇINAR (2026). TSA: Tree-seed algorithm for continuous optimization (https://jp.mathworks.com/matlabcentral/fileexchange/62646-tsa-tree-seed-algorithm-for-continuous-optimization), MATLAB Central File Exchange. に取得済み.
