Coevolutionary Algorithm for Evolving Competitive Strategies in the Weapon Target Assignment Problem-Reference-Cited by-同舟云学术

Coevolutionary Algorithm for Evolving Competitive Strategies in the Weapon Target Assignment Problem

Published:2022-04-09 Issue: Volume: Page:
ISSN:
Container-title:2022 6th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence
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Author:

Elfeky Ehab¹,Cochrane Madeleine²,Marsh Luke²,Elsayed Saber¹,Sims Brendan²,Crase Simon²,Essam Daryl¹,Sarker Ruhul¹

Affiliation:

1. University of New South Wales Canberra, Australia

2. Department of Defence, Australia

Funder

Department of Defence, Australian Government

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3533050.3533052

Reference26 articles.

1. Co-evolving Real-Time Strategy Game Micro. In Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence;Adhikari K;SSCI,2019

2. Christopher A. Ballinger and Sushil J. Louis. 2014. Learning Robust Build-Orders from Previous Opponents with Coevolution . In IEEE Conference on Computatonal Intelligence and Games, CIG. Christopher A. Ballinger and Sushil J. Louis. 2014. Learning Robust Build-Orders from Previous Opponents with Coevolution. In IEEE Conference on Computatonal Intelligence and Games, CIG.

3. A Multi-Armed Bandit Strategy for Countermeasure Selection

4. Virtual player design using self-learning via competitive coevolutionary algorithms

5. A Systematic Review of Coevolution in Real-Time Strategy Games

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1. Coevolution with Danger Zone Levels Strategy for the Weapon Target Assignment Problem;2022 IEEE Symposium Series on Computational Intelligence (SSCI);2022-12-04