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蚁群算法(ant colony optimization, ACO)，又称蚂蚁算法，是一种用来在图中寻找优化路径的机率型技术。它由Marco Dorigo于1992年在他的博士论文中引入，其灵感来源于蚂蚁在寻找食物过程中发现路径的行为
Hybrid Taguchi-genetic algorithm for global numerical optimization
Ant colony optimization for finding the global minimum
Particle swarm optimization with particles having quantum behavior
PostsBayesian Optimization Algorithm with Decision Graphs in C++,
Transition-Time Optimization for Switched-Mode Dynamical Systems
A version of a sparse bundle adjustment implementation with adjustable intrinsics and distortion parameters (either shar...
资料->【C】嵌入系统->【C3】自动化控制->【1】控制算法->【蚁群算法】->Binary-Coding-Based Ant Colony Optimization and Its Convergence.pdf