Locust Swarm Optimization Algorithm: A Bio-Heuristic for Global Optimization Problem-Reference-Cited by-同舟云学术

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Locust Swarm Optimization Algorithm: A Bio-Heuristic for Global Optimization Problem

Published:2023 Issue: Volume: Page:670-678
ISSN:2367-3370
Container-title:Software Engineering Research in System Science
language:
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Author:

Rodzin Sergey,Kuliev Elmar,Zaporozhets Dmitry,Rodzina Lada,Rodzina Olga

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-35311-6_64

Reference11 articles.

1. Bonabeau, E., Dorigo, M., Theraulaz, G.: Swarm Intelligence: From Natural to Artificial Systems. Oxford Uni Press, New York (1999)

2. Rodzin, S., Rodzina, O.: New computational models for big data and optimization. In: Proceedings of the 9th International Conference on Application of Information and Communication Technologies (AICT), pp. 3–7 (2015)

3. Morales-Castaceda, B., Zaldivar, D., Cuevas, E., Rodríguez, A.: A better balance in metaheuristic algorithms: Does it exist? Swarm Evol. Comput. 54, 100671 (2020)

4. Dragoi, E. N., Dafinescu, V.: Review of metaheuristics inspired from the animal kingdom. Mathematics 9 (2021)

5. Rogers, S.M., et al.: Rapid behavioural gregarization in the desert locust, Schistocerca gregaria entails synchronous changes in both activity and at-traction to conspecifics. Insect. Physiol. 65, 9–26 (2014)

Cited by 1 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. Hybrid Algorithm of Locust Swarm and Spider Colony for Global Optimization Problems;2024 7th International Conference on Information Technologies in Engineering Education (Inforino);2024-04-16

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