Special Issue on Hybrid Approaches to Nature-inspired Optimization Algorithms and Their Applications
ISSN:
0941-0643 (Print)
1433-3058 (Online)
In this topical collection (5 articles)
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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 -
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 -
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 -
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 -
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
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