H
Haibin Duan
Researcher at Beihang University
Publications - 275
Citations - 6874
Haibin Duan is an academic researcher from Beihang University. The author has contributed to research in topics: Particle swarm optimization & Optimization problem. The author has an hindex of 42, co-authored 243 publications receiving 5299 citations. Previous affiliations of Haibin Duan include Soochow University (Suzhou).
Papers
More filters
Journal ArticleDOI
Pigeon-inspired optimization: a new swarm intelligence optimizer for air robot path planning
Haibin Duan,Peixin Qiao +1 more
TL;DR: A novel swarm intelligence optimizer — pigeon-inspired optimization (PIO) — is presented and it is shown that the proposed PIO algorithm can effectively improve the convergence speed, and the superiority of global search is also verified in various cases.
Journal ArticleDOI
Chaotic artificial bee colony approach to Uninhabited Combat Air Vehicle (UCAV) path planning
Chunfang Xu,Haibin Duan,Fang Liu +2 more
TL;DR: An improved ABC optimization algorithm based on chaos theory for solving the UCAV path planning in various combat field environments is proposed, and the implementation procedure of the proposed chaotic ABC approach is described in detail.
Journal ArticleDOI
?Hybrid Particle Swarm Optimization and Genetic Algorithm for Multi-UAV Formation Reconfiguration
TL;DR: A Hybrid Particle Swarm Optimization and Genetic Algorithm (HPSOGA) is proposed to solve the multi-UAV formation reconfiguration problem, which is modeled as a parameter optimization problem.
Journal ArticleDOI
An improved constrained differential evolution algorithm for unmanned aerial vehicle global route planning
Xiangyin Zhang,Haibin Duan +1 more
TL;DR: An improved constrained differential evolution (DE) algorithm, which combines DE algorithm with the level comparison method, is proposed to find the optimal route in feasible regions and demonstrates a good performance in terms of the solution quality, robustness, and the constraint-handling ability.
Journal ArticleDOI
Three-Dimensional Path Planning for Uninhabited Combat Aerial Vehicle Based on Predator-Prey Pigeon-Inspired Optimization in Dynamic Environment
Bo Zhang,Haibin Duan +1 more
TL;DR: The comparative simulation results show that the proposed PPPIO algorithm is more efficient than the basic PIO, particle swarm optimization (PSO), and different evolution (DE) in solving UCAV three-dimensional path planning problems.