A COMPREHENSIVE REVIEW ON GENETIC ALGORITHM-BASED OPTIMIZATION OF STEEL TRUSS STRUCTURES FOR WEIGHT REDUCTION AND STRUCTURAL EFFICIENCY

Santosh Haridas Surtar; Gaurav Shrivastava

doi:10.29121/ijoest.v10.i2.2026.753

Authors

Santosh Haridas Surtar MTech Scholar, Vikrant University Gwalior, Madhya Pradesh, India
Gaurav Shrivastava Assistant Professor, Department of Civil Engineering, Vikrant University, Gwalior, Madhya Pradesh, India

DOI:

https://doi.org/10.29121/ijoest.v10.i2.2026.753

Keywords:

Genetic Algorithm, Steel Truss Optimization, Structural Efficiency, Weight Minimization, Metaheuristic Techniques, Evolutionary Computation

Abstract

The steel truss structure is a typical engineering structure since it is extremely robust relative to its weight and its structure. Nevertheless, there is still a considerable challenge in trying to optimize these structures to ensure minimum weight, safety and performance. Conventional optimization methods may be ineffective in dealing with nonlinear and multiple constraints design spaces. The artificial algorithms based on the concept of natural selection and evolution that have become a powerful tool to resolve such optimization problems are called Genetic Algorithms (GAs). This review paper will discuss in detail the GA-based optimization solution to steel truss structures. It talks about techniques, encoding, constraint management, mixed methods and newer techniques. Challenges, comparative studies, future research directions are also pointed out in the paper.

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