A multi-strategy particle swarm algorithm with exponential noise and fitness-distance balance method for low-altitude penetration in secure space
UAV technology is at the forefront of current research and plays an important role in
agriculture, public safety and the military. Low altitude trajectory is a technology for UAVs to …
agriculture, public safety and the military. Low altitude trajectory is a technology for UAVs to …
Improving teaching–learning-based-optimization algorithm by a distance-fitness learning strategy
Y Xu, Y Peng, X Su, Z Yang, C Ding, X Yang - Knowledge-Based Systems, 2022 - Elsevier
The teaching–learning-based optimization (TLBO) algorithm, composed of a teacher phase
and a learner phase, is one of the most popular global optimization approaches. It is …
and a learner phase, is one of the most popular global optimization approaches. It is …
A competitive and collaborative-based multilevel hierarchical artificial electric field algorithm for global optimization
Competitive and collaborative strategies and topologies are among the most essential
concepts and greatly influence the optimization ability of population-based optimization …
concepts and greatly influence the optimization ability of population-based optimization …
Optimizing the parameters of hybrid active power filters through a comprehensive and dynamic multi-swarm gravitational search algorithm
This paper introduces a dynamic comprehensive multi-swarm gravitational search algorithm
with non-uniform mutation (cdGSA-2m) for optimizing hybrid active power filter (HAPF) …
with non-uniform mutation (cdGSA-2m) for optimizing hybrid active power filter (HAPF) …
Multi-strategy adaptive guidance differential evolution algorithm using fitness-distance balance and opposition-based learning for constrained global optimization of …
Q Liu, C Zhang, Z Li, T Peng, Z Zhang, D Du, MS Nazir - Applied Energy, 2024 - Elsevier
It is of great significance to obtain the parameters of photovoltaic (PV) models quickly and
accurately for the efficient operation and maintenance of PV power plants. A multi-strategy …
accurately for the efficient operation and maintenance of PV power plants. A multi-strategy …
Adaptive conflict resolution for multi-UAV 4D routes optimization using stochastic fractal search algorithm
The increasing unmanned aircraft system (UAS) applications in urban environments pose
challenges for safe and efficient low altitude air traffic management. As an essential enabler …
challenges for safe and efficient low altitude air traffic management. As an essential enabler …
Student-t kernelized fuzzy rough set model with fuzzy divergence for feature selection
Fuzzy rough set theory can tackle feature redundancy in data and select more informative
features for machine learning tasks. Gaussian kernel is often coupled with fuzzy rough set …
features for machine learning tasks. Gaussian kernel is often coupled with fuzzy rough set …
Hybrid particle swarm optimizer with fitness-distance balance and individual self-exploitation strategies for numerical optimization problems
K Zheng, X Yuan, Q Xu, L Dong, B Yan, K Chen - Information Sciences, 2022 - Elsevier
Due to the simplicity of the learning strategy, the original particle swarm optimization (PSO)
has various deficiencies, such as entrapment in local optima, rapid loss of diversity and a …
has various deficiencies, such as entrapment in local optima, rapid loss of diversity and a …
Guided learning strategy: A novel update mechanism for metaheuristic algorithms design and improvement
H Jia, C Lu - Knowledge-Based Systems, 2024 - Elsevier
Meta-heuristic algorithms (MH) are naturally inspired global optimization algorithms. They
are often relatively simple and can solve problems in a short period of time, with certain …
are often relatively simple and can solve problems in a short period of time, with certain …
Exponential particle swarm optimization for global optimization
Nature-inspired metaheuristics have been extensively investigated to solve challenging
optimization problems. Particle Swarm Optimization (PSO) is one of the most famous nature …
optimization problems. Particle Swarm Optimization (PSO) is one of the most famous nature …