Multi-objective optimization of electric vehicle routing problem with battery swap and mixed time windows
B Zhou, Z Zhao - Neural Computing and Applications, 2022 - Springer
With the growing interest in green logistics, the electric vehicles have been widely used as
an important distribution means. In this paper, the electric vehicle routing problem with …
an important distribution means. In this paper, the electric vehicle routing problem with …
Hierarchical parallel search with automatic parameter configuration for particle swarm optimization
F Zhao, F Ji, T Xu, N Zhu - Applied Soft Computing, 2024 - Elsevier
Particle swarm optimization (PSO) has been widely applied in solving optimization
problems. Despite a multitude of PSO variants that have been proposed thus far, they still …
problems. Despite a multitude of PSO variants that have been proposed thus far, they still …
Island-based Cuckoo Search with elite opposition-based learning and multiple mutation methods for solving optimization problems
BH Abed-alguni, D Paul - Soft Computing, 2022 - Springer
Abstract The island Cuckoo Search (i CSPM) algorithm is a variation of Cuckoo Search that
uses the island model and highly disruptive polynomial mutation to solve optimization …
uses the island model and highly disruptive polynomial mutation to solve optimization …
Discrete hybrid cuckoo search and simulated annealing algorithm for solving the job shop scheduling problem
F Alkhateeb, BH Abed-alguni, MH Al-rousan - The Journal of …, 2022 - Springer
The job shop scheduling problem (JSSP) is a popular NP-hard scheduling problem that
simulates the scheduling problems of different real-world applications in fields such as …
simulates the scheduling problems of different real-world applications in fields such as …
Improved discrete salp swarm algorithm using exploration and exploitation techniques for feature selection in intrusion detection systems
M Barhoush, BH Abed-alguni… - The Journal of …, 2023 - Springer
The salp swarm algorithm (SSA) is a well-known optimization algorithm that is increasingly
being utilized to solve many sorts of optimization problems. However, SSA may converge to …
being utilized to solve many sorts of optimization problems. However, SSA may converge to …
An enhanced honey badger algorithm based on Lévy flight and refraction opposition-based learning for engineering design problems
Y **ao, X Sun, Y Guo, H Cui, Y Wang… - Journal of Intelligent & …, 2022 - content.iospress.com
Honey badger algorithm (HBA) is a recently developed meta-heuristic algorithm, which
mainly simulates the dynamic search behavior of honey badger in wild nature. Similar to …
mainly simulates the dynamic search behavior of honey badger in wild nature. Similar to …
Modeling and combined application of MOEA/D and TOPSIS to optimize WEDM performances of A286 superalloy
Superalloys are categorized as difficult to process materials with a broad spectrum of
applications in industries. Process modeling and optimization of WEDM performances on …
applications in industries. Process modeling and optimization of WEDM performances on …