Description: 具有NP-C性质的QoS路由优化已经成为网络研究中的一个热点问题， 粒
子群算法所具有的优点成为解决 QoS 路由优化的有效方式。-With NP-C nature of the QoS routing optimization has become a network of research of a hot issue, grain The son has the advantages of the algorithm to solve the optimization of the effective way QoS routing.
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Size: 117760 |
Author: |
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Description: A Hybrid Chaos-Particle Swarm Optimization Algorithm for the
Vehicle Routing Problem with TimeWindow Platform: |
Size: 219136 |
Author:ronan346 |
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Description: 离散粒子群优化算法优化带时间窗的车辆路径问题-Discrete particle swarm optimization algorithm to optimize vehicle routing problem with time windows Platform: |
Size: 235520 |
Author:张伟仁 |
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Description: 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. Platform: |
Size: 1965056 |
Author:qi |
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Search - Routing algorithm with particle swarm optimization