蜂群(蜜蜂)
范德瓦尔斯力
稳健性(进化)
算法
计算机科学
趋同(经济学)
早熟收敛
混合算法(约束满足)
优化算法
数学优化
数学
人工智能
粒子群优化
物理
化学
量子力学
生物
基因
植物
生物化学
经济增长
经济
概率逻辑
约束逻辑程序设计
约束满足
分子
作者
Yi Zhang,Yu Hongda,Min Sun,Yong Xu
标识
DOI:10.3389/fbioe.2022.806177
摘要
This paper proposes a hybrid swarming algorithm based on Ant Colony Optimization and Physarum Polycephalum Algorithm. And the Van Der Waals force is first applied to the pheromone update mechanism of the hybrid algorithm. The improved method can prevent premature convergence into the local optimal solution. Simulation results show the proposed approach has excellent in solving accuracy and convergence time. We also compare the improved algorithm with other advanced algorithms and the results show that our algorithm is more accurate than the literature algorithms. In addition, we use the capitals of 35 Asian countries as an example to verify the robustness and versatility of the hybrid algorithm.
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