Tree Physiology Optimization (TPO) algorithm for Stochastic test function optimization

TPO is a metaheuristic algorithm inspired from plant growth system.

이 제출물을 팔로우합니다

The code demonstrate TPO algorithm on finding optimal solution for unconstrained test function (Shekel foxholes and Michalewicz function). Other test function can be inserted in the code. TPO algorithm main idea is from the root-shoot relationship (Thornley model). The plant-shoots as search agents consists of i leaves in j branches, which may ensure a diversify the search. Each shoot propagated towards light (objective function) with the help of nutrient (gained from roots elongation), and at the same time,the shoot produce carbon (as fitness value) and supplied to the roots counterpart for the root to elongate. The root system consumed carbon value and elongate in search for nutrient. The roots elongation with nutrient is defined as an amplification for the shoot's growth.

인용 양식

hanif (2026). Tree Physiology Optimization (TPO) algorithm for Stochastic test function optimization (https://kr.mathworks.com/matlabcentral/fileexchange/63982-tree-physiology-optimization-tpo-algorithm-for-stochastic-test-function-optimization), MATLAB Central File Exchange. 검색 날짜: .

카테고리

Help CenterMATLAB Answers에서 Direct Search에 대해 자세히 알아보기

일반 정보

MATLAB 릴리스 호환 정보

  • 모든 릴리스와 호환

플랫폼 호환성

  • Windows
  • macOS
  • Linux
버전 퍼블리시됨 릴리스 정보 Action
1.0.0.0