Structural optimization of different truss designs using two archive mult objective crystal structure optimization...

Area of Science:

• Engineering
• Computational Science

Background:

• Multi-objective structural optimization presents challenges due to competing goals and constraints.
• Metaheuristics offer solutions but can be limited by stochasticity and restrictions.

Purpose of the Study:

• To introduce the Multi-Objective Crystal Structure Optimizer (MOCRY), specifically MOCRY2arc, as a robust solution for structural optimization.
• To evaluate MOCRY2arc's performance against established optimization techniques.

Main Methods:

• MOCRY2arc employs a two-archive strategy focusing on diversity and convergence.
• The algorithm was tested on five real-world planar and spatial structure optimization problems with safety and size constraints.
• Performance was evaluated using standard metrics like Hypervolume (HV), Generational-Inverted Generational Distance (GD, IGD), and Spacing to Extent Metrics (STE).

Main Results:

• MOCRY2arc demonstrated superior performance in solving large-scale structural optimization problems.
• The algorithm achieved results in significantly less computational time compared to nine other advanced optimization techniques, including NSGA-II.
• MOCRY2arc effectively identified Pareto-optimal sets with strong convergence and diversity in both objective and decision spaces.

Conclusions:

• MOCRY2arc is a potent and effective optimizer for challenging multi-objective structural design problems.
• The algorithm's ability to handle complex constraints and competing objectives makes it a valuable tool for engineers and researchers.