An Advanced Swarm Intelligence-Based Algorithm for Engineering Problem Solving

Memarzadeh, Gholamreza; Keynia, Farshid; Memarzadeh, Rasoul

doi:10.48306/estm.2026.434012.1000

An Advanced Swarm Intelligence-Based Algorithm for Engineering Problem Solving

Document Type : Original Article

Authors

Gholamreza Memarzadeh ¹

Farshid Keynia ²

Rasoul Memarzadeh ³

¹ Department of Power and Control Engineering,Graduate University of Advanced Technology, Kerman, Iran

² 1Department of Energy Management and Optimization, Institute of Science and High Technology and Environmental Sciences, Graduate University of Advanced Technology, Kerman, Iran;

³ Department of Civil Engineering, Faculty of Engineering, Vali-e-Asr University of Rafsanjan, Rafsanjan, Iran

https://doi.org/10.48306/estm.2026.434012.1000

Abstract

Nowadays, global optimization algorithms are widely used for solving engineering problems. These algorithms are complex and characterized by various properties, for instance, they can be non-linear, non-separable, symmetric, asymmetrical, smooth with narrow ridges, unimodal, and multimodal, and can involve non-differentiable functions and high dimensionality. These properties create challenges for existing optimization algorithms, and the global optimum finding, is one of the long-standing goals in this area of study. In this paper, an efficient hybrid metaheuristic search algorithm based on swarm intelligent has been developed. In order to evaluate the performance of the presented algorithm, it has been implemented on 13 benchmark functions and two real engineering problems in the fields of power engineering. The proposed functions are among the constrained and unconstrained optimization problems. Nevertheless, the proposed method has optimized the desired problems well and has performed better than GA, PSO and CBSA methods, which are among the well-known optimization methods.

Keywords

Optimization Algorithm

Metaheuristic

Coot Bird Algorithm

Genetic Algorithm

Economic Dispatch

DG Placement

Subjects

Energy Conversion and Management

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