为保证机器人能安全无碰撞地抵达目标位置, 提出一种在改进版圆形扩张(CSE+)
法中融合鸽群优化算法的实时避障算法. 所提算法引入对障碍物密集程度的判断机制 …

In order to ensure that the mobile robot can reach the target position without collisions, this
paper proposes a real-time obstacle avoidance algorithm that integrates the pigeon-inspired …

摘要针对鸽群优化算法(PIO) 全局搜索能力弱, 容易陷入局部最优解的缺点,
提出一种基于人类行为和t-分布变异策略改进的鸽群优化算法, 采用人类行为策略对鸽群优化 …

摘要强化学习是一种人工智能算法, 具有计算逻辑清晰, 模型易扩展的优点,
可以在较少甚至没有先验信息的前提下, 通过和环境交互并最大化值函数, 调优策略性能 …

To solve the problem that the Chicken swarm optimization (CSO) has low solution accuracy
and tends to fall into the local optimum on later stages of iteration, an adaptive mutation …

Aiming at the problem of low accuracy of the Chicken Swarm Optimization Algorithm and
falling into the local optimum easily, a self-adaptive dynamic distribution Chicken Swarm …

In order to solve the problems of slow convergence speed and low convergence accuracy of
adaptive particle swarm algorithm, a particle swarm optimization algorithm based on the …

Reinforcement learning (RL) is an artificial intelligence algorithm with the advantages of
clear calculation logic and easy expansion of the model. Through interacting with the …