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24.03.2022 | Original Article

A boosted chimp optimizer for numerical and engineering design optimization challenges

verfasst von: Ch. Leela Kumari, Vikram Kumar Kamboj, S. K. Bath, Suman Lata Tripathi, Megha Khatri, Shivani Sehgal

Erschienen in: Engineering with Computers | Ausgabe 4/2023

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Abstract

Chimp optimization algorithm (ChoA) has a wholesome attitude roused by chimp’s amazing thinking and hunting ability with a sensual movement for finding the optimal solution in the global search space. Classical Chimps optimizer algorithm has poor convergence and has problem to stuck into local minima for high-dimensional problems. This research focuses on the improved variants of the chimp optimizer algorithm and named as Boosted chimp optimizer algorithms. In one of the proposed variants, the existing chimp optimizer algorithm has been combined with SHO algorithm to improve the exploration phase of the existing chimp optimizer and named as IChoA-SHO and other variant is proposed to improve the exploitation search capability of the existing ChoA. The testing and validation of the proposed optimizer has been done for various standard benchmarks and Non-convex, Non-linear, and typical engineering design problems. The proposed variants have been evaluated for seven standard uni-modal benchmark functions, six standard multi-modal benchmark functions, ten standard fixed-dimension benchmark functions, and 11 types of multidisciplinary engineering design problems. The outcomes of this method have been compared with other existing optimization methods considering convergence speed as well as for searching local and global optimal solutions. The testing results show the better performance of the proposed methods excel than the other existing optimization methods.

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Metadaten
Titel
A boosted chimp optimizer for numerical and engineering design optimization challenges
verfasst von
Ch. Leela Kumari
Vikram Kumar Kamboj
S. K. Bath
Suman Lata Tripathi
Megha Khatri
Shivani Sehgal
Publikationsdatum
24.03.2022
Verlag
Springer London
Erschienen in
Engineering with Computers / Ausgabe 4/2023
Print ISSN: 0177-0667
Elektronische ISSN: 1435-5663
DOI
https://doi.org/10.1007/s00366-021-01591-5