Limit-Cycle-Based Mutant Multiobjective Pigeon-Inspired Optimization

Mobile Sink-Based Path Optimization Strategy in Heterogeneous WSNs for IoT Using Pigeon-Inspired Optimization Algorithm

“…FðX N i Þ is the fitness function. For solving Min − os (minimum optimal solution), Max − os (maximum optimal solution) has two different forms, and M ðNÞ is the number of pigeons remaining after the N-th iteration [37,38]. After the above iteration loop reaches N MAX2 , the landmark operator stops working and outputs the optimal solution adapted at this time [39].…”

A Survey on Recent Trends of PIO and Its Variants Applied for Motion Planning of Dynamic Agents

“…In 2020, Duan et al [46] proposed a Dynamic Discrete Pigeon Inspired Optimization (DDPIO) algorithm to solve a mission planning problem of search and attack of multiple UAVs. Duan et al [47] presented Limit-Cycle-based Mutant Multi-Objective Pigeon-Inspired Optimization (CMMOPIO) to balance the global exploration and local exploitation. Ruan and Duan [48] proposed an improved PIO namely Multi-objective Social Learning Pigeon-Inspired Optimization (MSLPIO) for obstacle avoidance problem of Multi-UAV.…”

Generalized pigeon-inspired optimization algorithm for balancing exploration and exploitation

“…鸽群优化算法应用于多种问题, 在求解新型优 化问题方面, 算法应用于求解超多目标优化问题 [23] 和多目标多模态优化问题 [24] 等. 在实际工程问题中, 改进算法应用于检测蛋白质复合物问题 [25] ; 基于捕 食逃逸的改进鸽群优化算法应用于无人机紧密编队 协同控制问题 [2] ; 基于莱维飞行的鸽群优化算法应用 于仿雁群无人机编队控制器设计问题 [26] ; 动态离散 鸽群优化算法应用于求解无人机群体的协同搜索攻 击任务规划问题 [28] ; 基于参数知识鸽群算法应用于 求解离散车间能效优化问题 [29] 等.…”