A Review on Metaheuristic Approaches for Optimization Problems-Reference-Cited by-同舟云学术

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A Review on Metaheuristic Approaches for Optimization Problems

Published:2024 Issue: Volume: Page:33-55
ISSN:1860-949X
Container-title:Studies in Computational Intelligence
language:en
Short-container-title:

Author:

Rautray Rasmita,Dash Rasmita,Dash Rajashree,Chandra Balabantaray Rakesh,Parida Shanti Priya

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-99-8853-2_3

Reference73 articles.

1. Adam, S., Halina, K.: Nature inspired methods and their industry applications-Swarm intelligence algorithms. IEEE Trans. Ind. Inform. 14(3), 1004–1015 (2018)

2. Jain, M., Singh, V., Rani. A.: A novel nature-inspired algorithm for optimization: Squirrel search algorithm. Swarm Evol. Comput. 44, 148–175 (2018)

3. Yang, X.-S., Deb, S.: Cuckoo search: recent advances and applications. Neural Comput. Appl. 24(1), 169–174 (2014)

4. Rautray, R., Balabantaray, R.C.: An evolutionary framework for multi document summarization using cuckoo search approach: MDSCSA. Appl. Comput. Inform. 14(2), 134–144 (2018)

5. Coelho, L.S., Guerra, F., Batistela, N.J., Leite, J.V.: Multiobjective cuckoo search algorithm based on Duffing’s oscillator applied to jiles-atherton vector hysteresis parameters estimation. IEEE Trans. Mag. 49(5), 1745–1748 (2013)

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