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Engineering with Computers
Erschienen in: Engineering with Computers 2/2022

29.01.2021 | Original Article

An enhanced pathfinder algorithm for engineering optimization problems

verfasst von: Chengmei Tang, Yongquan Zhou, Qifang Luo, Zhonghua Tang

Erschienen in: Engineering with Computers | Sonderheft 2/2022

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Abstract

The pathfinder algorithm (PFA) is a new population-based optimizer, it divides the search agents of the algorithm into leaders and followers, imitating the leadership level of the group movement to find the best food area or prey. In PFA, followers follow the new position according to the position of the leader and their own consciousness makes the algorithm easy to fall into local optimum. To overcome this shortcoming, the following stage is complicated in this paper, and the acceptance operator, the exchange operator and the mutation mechanism are introduced into the algorithm. To further balance the mining ability and exploration ability of the algorithm, the article regards the leader as a guide and introduces a guide mechanism. To verify the performance of the improved algorithm, it is applied to nine real-life engineering case problems. The simulation results of the real-life engineering design problems exhibit the superiority of the improved PFA (IMPFA) algorithm in solving challenging problems with constrained and unknown search spaces when compared to the basic PFA algorithm or other available solutions.
Vorheriger Artikel Large deflection electro-mechanical analysis of composite structures bonded with macro-fiber composite actuators considering thermal loads
Nächster Artikel An enhanced shuffled Shepherd Optimization Algorithm for optimal design of large-scale space structures

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Metadaten
Titel
An enhanced pathfinder algorithm for engineering optimization problems
verfasst von
Chengmei Tang
Yongquan Zhou
Qifang Luo
Zhonghua Tang
Publikationsdatum
29.01.2021
Verlag
Springer London
Erschienen in
Engineering with Computers / Ausgabe Sonderheft 2/2022
Print ISSN: 0177-0667
Elektronische ISSN: 1435-5663
DOI
https://doi.org/10.1007/s00366-021-01286-x

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