Adaptive and migration-enhanced tree seed algorithm for multi-threshold CT image segmentation and lung cancer recognition.

ABSTRACT: The Tree-Seed Algorithm (TSA) is a swarm intelligence algorithm inspired by the propagation relationship between trees and seeds. However, the original TSA is prone to premature convergence and becomes trapped in local optima when addressing high-dimensional, complex optimization problems, limiting its practical efficacy. To overcome these limitations, this paper proposes an Adaptive and Migration-enhanced Tree Seed Algorithm (AMTSA), which integrates three key mechanisms to significantly enhance performance in solving complex optimization tasks. First, to effectively evade local optima, an adaptive tree migration mechanism is designed to dynamically adjust the search step-size and direction based on individual fitness, thereby improving global exploration. Second, to enhance the algorithm

SUBMITTER: Li C 

PROVIDER: S-EPMC12810928 | biostudies-literature | 2026

REPOSITORIES: biostudies-literature