Facial reconstruction

Search LJMU Research Online

Browse Repository | Browse E-Theses

A novel two-phase trigonometric algorithm for solving global optimization problems

Baskar, A, Xavior, MA, Jeyapandiarajan, P, Batako, A and Burduk, A (2024) A novel two-phase trigonometric algorithm for solving global optimization problems. Annals of Operations Research. ISSN 0254-5330

[img] Text
A novel two-phase trigonometric algorithm for solving global optimization problems.pdf - Accepted Version
Restricted to Repository staff only until 21 March 2025.

Download (2MB)


Metaheuristics play a major role in the important domain of global optimization. Since they are problem independent, they can be effectively used in constrained and higher-dimension problems and in real-world applications also. In this paper, one novel two-phase trigonometric algorithm is presented to obtain optimal/ near-optimal solutions for different optimization problems. In this work, the main focus is given to solving real-world engineering problems with constraints. The proposed algorithm effectively explores and exploits the search space to arrive at the solutions. Benchmarks analyzed include unconstrained (unimodal and multimodal) functions, constrained special functions, constrained engineering problems and ten problems of the "100 digit challenge", Institute of Electrical and Electronics Engineers (IEEE) Congress on Evolutionary Computation (CEC2019) totaling fifty-nine problem instances. The problems include functions with continuous variables, discrete variables and both continuous and discrete variables. They are all single-objective functions that are suitably modelled and simulated in MATLAB environment. The obtained results are compared with recent and time-tested popular algorithms including Differential Evolution (DE), Improved Teaching–Learning-Based Optimization (ITLBO), Social Network Search (SNS), Firefly Algorithm (FA), Cuckoo Search (CS) and Whale Optimization Algorithm (WOA). Analyses of the results obtained from TP-AB against the performance of the well-known algorithms indicate the superiority and competitiveness of the proposed algorithm in providing quality solutions.

Item Type: Article
Additional Information: This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://doi.org/10.1007/s10479-024-05837-5
Uncontrolled Keywords: 01 Mathematical Sciences; 08 Information and Computing Sciences; 15 Commerce, Management, Tourism and Services; Operations Research
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Engineering
Publisher: Springer
SWORD Depositor: A Symplectic
Date Deposited: 02 May 2024 09:58
Last Modified: 02 May 2024 10:00
DOI or ID number: 10.1007/s10479-024-05837-5
URI: https://researchonline.ljmu.ac.uk/id/eprint/23159
View Item View Item