Special Issue on Hybrid Approaches to Nature-inspired Optimization Algorithms and Their Applications

In this topical collection (5 articles)

1. 

   S.I.: Hybrid Approaches to Nature-inspired Optimization Algorithms and Their Applications

   An evolutionary swarm intelligence optimizer based on probabilistic distribution

   Yifei Yang, Haichuan Yang, Haotian Li, Zheng Tang… Pages 1-13

2. 

   S.I.: Hybrid Approaches to Nature-inspired Optimization Algorithms and Their Applications

   An adaptive grey wolf optimization with differential evolution operator for solving the discount {0–1} knapsack problem

   Zijian Wang, Xi Fang, Fei Gao, Liang Xie… Pages 1-17

3. 

   S.I.: Hybrid Approaches to Nature-inspired Optimization Algorithms and Their Applications

   UAV path planning in mountain areas based on a hybrid parallel compact arithmetic optimization algorithm

   Ruo-Bin Wang, Wei-Feng Wang, Fang-Dong Geng… Pages 1-16

4. 

   S.I. : Hybrid Approaches to Nature-inspired Optimization Algorithms and Their Applications

   Surrogate-assisted evolutionary sampling particle swarm optimization for high-dimensional expensive optimization

   Kuihua Huang, Huixiang Zhen, Wenyin Gong, Rui Wang… Pages 1-17

5. 

   S.I.: Hybrid Approaches to Nature-inspired Optimization Algorithms and Their Applications

   A modified whale optimization algorithm with multi-strategy mechanism for global optimization problems

   Mingyuan Li, Xiaobing Yu, Bingbing Fu, Xuming Wang Pages 1-14