[HTML][HTML] Locating and deploying essential goods and equipment in disasters using AI-enabled approaches: A systematic literature review

S Farazmehr, Y Wu - Progress in Disaster Science, 2023 - Elsevier
Locating, routing and deploying essential goods and equipment are proactive disaster
management strategies which received attention during recent decades. Many artificial …

A survey on firefly algorithms

J Li, X Wei, B Li, Z Zeng - Neurocomputing, 2022 - Elsevier
Firefly algorithm (FA) is one of the popular algorithms of Swarm Intelligence domain. The
literature has expanded significantly in the past few years. This paper provides a timely …

Adaptive iterated stochastic metaheuristic to optimize holes drilling path in manufacturing industry: The Adaptive-Dhouib-Matrix-3 (A-DM3)

S Dhouib, A Zouari - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Tool path optimization approaches are often used to reduce production time and cost,
energy consumption, etc. on Computer Numerical Control Machines. Thus, several artificial …

Solution for TSP/mTSP with an improved parallel clustering and elitist ACO

GK Baydogmus - Computer Science and Information Systems, 2023 - doiserbia.nb.rs
Many problems that were considered complex and unsolvable have started to solve and
new technologies have emerged through to the development of GPU technology. Solutions …

Applying improved genetic algorithm to solve travelling salesman problem

M Agrawal, V Jain - 2020 Second International Conference on …, 2020 - ieeexplore.ieee.org
Travelling Salesman Problem is a very popular problem in graph theory and it is applicable
to solve many problems of science and engineering. It has its applications in electronics …

Improved genetic algorithm to solve small scale travelling salesman problem

A Kumar - 2020 4th International Conference on Intelligent …, 2020 - ieeexplore.ieee.org
Genetic Algorithms are the best solution to solve NP-Hard problem. Travelling Salesman
Problem (TSP) is one of them which can be solved by GA. TSP Algorithm takes more time to …

[PDF][PDF] Solving a traveling salesman problem using meta-heuristics

AS Nejad, G Fazekas - IAES International Journal of Artificial …, 2022 - academia.edu
In this article, we have introduced an advanced new method of solving a traveling salesman
problem (TSP) with the whale optimization algorithm (WOA), and K-means which is a …

[引用][C] Meta-heuristic algorithms for K-means clustering: A review

AF Jahwar, AM Abdulazeez - PalArch's Journal of Archaeology of Egypt/Egyptology, 2020

An improved adaptive genetic algorithm for mobile robot path planning analogous to the ordered clustered TSP

J Jiang, X Yao, E Yang, J Mehnen… - 2020 IEEE Congress on …, 2020 - ieeexplore.ieee.org
The material transportation planning with a mobile robot can be regarded as the ordered
clustered traveling salesman problem. To solve such problems with different priorities at …

Automatic clustering for selection of optimal number of clusters by K-means integrated with enhanced firefly algorithms

A Alam, M Muqeem - 2022 2nd International Conference on …, 2022 - ieeexplore.ieee.org
Unsupervised machine learning includes data clustering, which discovers and
comprehends underlying data patterns as well as classifies objects within a dataset based …