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Engineering with Computers

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24-03-2022 | Original Article

A boosted chimp optimizer for numerical and engineering design optimization challenges

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

Published in: Engineering with Computers | Issue 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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Title: A boosted chimp optimizer for numerical and engineering design optimization challenges
Authors: Ch. Leela Kumari
Vikram Kumar Kamboj
S. K. Bath
Suman Lata Tripathi
Megha Khatri
Shivani Sehgal
Publication date: 24-03-2022
Publisher: Springer London
Published in: Engineering with Computers / Issue 4/2023
Print ISSN: 0177-0667
Electronic ISSN: 1435-5663
DOI: https://doi.org/10.1007/s00366-021-01591-5

An SPH-based FSI framework for phase-field modeling of brittle fracture under extreme hydrodynamic events

Original Article

A coupled peridynamic and finite strip method for analysis of in-plane behaviors of plates with discontinuities

Original Article

Nonlocal layerwise theory for bending, buckling and vibration analysis of functionally graded nanobeams

Original Article

Multi-adaptive coupling of finite element meshes with peridynamic grids: robust implementation and potential applications

Original Article

Transfer physics informed neural network: a new framework for distributed physics informed neural networks via parameter sharing

Original Article

A numerical approach for optimization of the working fluid of a standing-wave thermo-acoustic refrigerator

Original Article

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An SPH-based FSI framework for phase-field modeling of brittle fracture under extreme hydrodynamic events

A coupled peridynamic and finite strip method for analysis of in-plane behaviors of plates with discontinuities

Nonlocal layerwise theory for bending, buckling and vibration analysis of functionally graded nanobeams

Multi-adaptive coupling of finite element meshes with peridynamic grids: robust implementation and potential applications

Transfer physics informed neural network: a new framework for distributed physics informed neural networks via parameter sharing

A numerical approach for optimization of the working fluid of a standing-wave thermo-acoustic refrigerator