Search - an evolutionary particle

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[Other] 111 DL : 0: 本研究开发一种混合自动进化模糊学习算法决定了最优路径旅行附近大规模旅行商问题 (LSTSPs)。LSTSPs识别解决方案是一种最复杂的主题全球的组合优化问题。提出的混合进化模糊学习计划的优点结合自适应模糊c均值(FCM),简单不等式性质合并的概念,模拟退火(SA)算法和一种有效的学习表transform-based粒子群优化(TPSO)。本研究使用方法来处理大型TSP路由系统。应用进化TPSO学习算法-This study develops a hybrid evolutionary fuzzy learning algorithm that automatically determines the near optimal traveling path in large-scale traveling salesman problems (LSTSPs). Identifying solutions for LSTSPs is one of the most complicated topics in the field of global combinatorial optimization problems. The proposed hybrid evolutionary fuzzy learning scheme combines the advantages of the adaptive fuzzy C-means (FCM), simple MAX–MIN merging concept, simulated annealing (SA) learning algorithm and an efficient table transform-based particle swarm optimization (TPSO). This study uses the proposed method to deal with the large-size TSP routing system.
Date : 2026-01-18 Size : 1.87mb User : qi