hCHAC: A family of MOACO algorithms for the resolution of the bi-criteria military unit pathfinding problem-Reference-Cited by-同舟云学术

hCHAC: A family of MOACO algorithms for the resolution of the bi-criteria military unit pathfinding problem

Published:2013-06 Issue:6 Volume:40 Page:1524-1551
ISSN:0305-0548
Container-title:Computers & Operations Research
language:en
Short-container-title:Computers & Operations Research

Author:

Mora A.M.,Merelo J.J.,Castillo P.A.,Arenas M.G.

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Modeling and Simulation,General Computer Science

Reference34 articles.

1. A constraint-based solver for the military unit path finding problem;Leenen,2010

2. Stentz A. Optimal and efficient path planning for unknown and dynamic environments. Technical report. CMU-RI-TR-93-20. Pittsburgh, PA: Robotics Institute, Carnegie Mellon University; August 1993.

3. The ant colony optimization metaheuristic: algorithms, applications, and advances;Dorigo,2002

4. The traveling salesman: computational solutions for TSP applications;Reinelt,1994

5. A taxonomy and an empirical analysis of multiple objective ant colony optimization algorithms for the bi-criteria TSP;García-Martínez;European Journal of Operational Research,2007

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. SFC-ACO: A Robust Path Failure Handling Method for Service Function Chaining in Kubernetes on OpenStack Magnum;2023 International Conference on Computer, Electronics & Electrical Engineering & their Applications (IC2E3);2023-06-08

2. MFSCD* Lite: A situation-based path planning algorithm for agent in wargame;2022 6th International Symposium on Computer Science and Intelligent Control (ISCSIC);2022-11

3. Military Unit Path Finding Problem;2021

4. Bi-level optimal sizing and energy management of hybrid electric propulsion systems;Applied Energy;2020-02

5. Applying Ant Colony optimization for Service Function Chaining in a 5G Network;2019 Sixth International Conference on Internet of Things: Systems, Management and Security (IOTSMS);2019-10