Design of multimodal hub-and-spoke transportation network for emergency relief under COVID-19 pandemic: A meta-heuristic approach
C Li, P Han, M Zhou, M Gu - Applied Soft Computing, 2023 - Elsevier
When COVID-19 suddenly broke out, the epidemic areas are short of basic emergency relief
which need to be transported from surrounding areas. To make transportation both time …
which need to be transported from surrounding areas. To make transportation both time …
A hybrid multi-target path planning algorithm for unmanned cruise ship in an unknown obstacle environment
To solve the problem of traversal multi-target path planning for an unmanned cruise ship in
an unknown obstacle environment of lakes, this study proposed a hybrid multi-target path …
an unknown obstacle environment of lakes, this study proposed a hybrid multi-target path …
Transformation operators based grey wolf optimizer for travelling salesman problem
In the field of swarm intelligence, the Grey Wolf Optimizer (GWO) is a popular algorithm
based on leadership hierarchy. Primarily, GWO was proposed to solve continuous …
based on leadership hierarchy. Primarily, GWO was proposed to solve continuous …
Reinforcement learning based optimization algorithm for maintenance tasks scheduling in coalbed methane gas field
Abstract The Coalbed Methane (CBM) well maintenance tasks scheduling optimization is of
importance for improving the CBM production efficiency. Traditionally, this problem is …
importance for improving the CBM production efficiency. Traditionally, this problem is …
Intelligent feature selection model based on particle swarm optimization to detect phishing websites
In the past ten years, due to the rapid growth of the Internet, a huge number of cyber-crimes
have been committed on the Internet. One of the crucial obstacles' user's encounters is the …
have been committed on the Internet. One of the crucial obstacles' user's encounters is the …
An optimized discrete dragonfly algorithm tackling the low exploitation problem for solving tsp
Optimization problems are prevalent in almost all areas and hence optimization algorithms
are crucial for a myriad of real-world applications. Deterministic optimization algorithms tend …
are crucial for a myriad of real-world applications. Deterministic optimization algorithms tend …
A hybridization of grey wolf optimizer and genetic algorithm for the traveling salesman problems
In this study, grey wolf optimizer (GWO), genetic algorithm (GA), and K-Opt operation are
combined to develop a metaheuristic named GWO-GA for the traveling salesman problems …
combined to develop a metaheuristic named GWO-GA for the traveling salesman problems …
Ant colony algorithm to solve a drone routing problem for hazardous waste collection
Waste management issues are affecting the economic and environmental aspects of
modern societies. Thus, growing the interest of academic and industrial research and …
modern societies. Thus, growing the interest of academic and industrial research and …
On the binarization of Grey Wolf optimizer: a novel binary optimizer algorithm
Abstract Grey Wolf Optimizer (GWO) is a nature-inspired swarm intelligence algorithm that
mimics the hunting behavior of grey wolves. GWO, in its basic form, is a real coded algorithm …
mimics the hunting behavior of grey wolves. GWO, in its basic form, is a real coded algorithm …
TWGH: A Tripartite Whale–Gray Wolf–Harmony Algorithm to Minimize Combinatorial Test Suite Problem
Today's academics have a major hurdle in solving combinatorial problems in the actual
world. It is nevertheless possible to use optimization techniques to find, design, and solve a …
world. It is nevertheless possible to use optimization techniques to find, design, and solve a …