MORIME: A multi-objective RIME optimization framework for efficient truss design

Abstract

• Proposed MORIME Algorithm : ○ Development of a novel Multi-Objective RIME (MORIME) optimization algorithm for efficient truss structure design. ○ Incorporates advanced non-dominated sorting and crowding distance strategies to enhance solution diversity and convergence. • Superior Performance : ○ MORIME outperforms established algorithms such as NSGA-II, MOEA/D, MOMVO, MOTEO, and MOLCA in key metrics like Hypervolume (HV), Inverted Generational Distance (IGD), and Spacing (SP). ○ Demonstrated excellence across eight truss configurations, ranging from simple (10-bar) to highly complex (942-bar) designs. • Optimization Objectives : ○ Focused on minimizing weight and compliance, critical for designing lightweight yet robust truss structures. ○ Provides well-distributed Pareto-optimal solutions, offering structural engineers diverse and high-quality design options. • Applications and Benefits : ○ Applicable for a wide range of structural complexities, from medium to large-scale truss optimization problems. ○ Enables efficient runtime performance, even in high-dimensional settings, making it a practical tool for real-world engineering applications. • Evaluation Metrics and Analysis : ○ Extensive comparison using HV, IGD, and SP metrics, supported by detailed statistical analyses and runtime performance assessments. ○ Consistently achieves competitive IGD values and low SP values, ensuring well-distributed Pareto fronts. • Future Scope : ○ Potential for further computational improvements and dynamic loading considerations. ○ Extensible to other structural engineering problems, including multi-material design and topology optimization. • Versatile Framework : ○ MORIME provides a reliable and adaptable multi-objective optimization framework, with implications for diverse engineering challenges. Multi objective optimization (MOO) is very important in structural engineering, especially in truss design where a trade off between weight reduction and compliance is needed to maximize the efficiency. Usually, conventional optimization algorithms have difficulty in solving complex MOO tasks, and in generating diverse, high quality solutions for various structural configurations. To overcome these challenges, this study proposes a Multi Objective RIME (MORIME) algorithm that uses improved non-dominated sorting and crowding distance techniques to optimize weight and compliance over eight truss designs. With respect to Hypervolume (HV), Inverted Generational Distance (IGD), and Spacing (SP) metrics, it performed better than other established methods such as NSGA-II, MOEA/D, MOMVO, MOTEO, MOLCA, and MORIME, leading to better convergence and diversity of solution sets. The results show that MORIME is a good tool for dealing with complex multi objective optimization landscapes and that it is better than biologically inspired and hybrid optimization methods. MORIME is a powerful tool for structural engineers to produce well balanced truss designs, which meet stringent weight and compliance requirements in a multiobjective setting. MORIME is one attractive feature because it can generate optimal and diverse solutions in truss optimization, resulting in high quality design results.

Topics & Concepts