Multi-objective seismic design optimization of steel frames by a chaotic meta-heuristic algorithm

• Published in: Engineering with computers Vol. 33; no. 4; pp. 1045 - 1060
• Main Authors: Gholizadeh, Saeed, Baghchevan, Amir
• Format: Journal Article
• Language: English
• Published: London Springer London 01.10.2017; Springer Nature B.V
• Subjects: Algorithms; CAE) and Design; Calculus of Variations and Optimal Control; Optimization; Classical Mechanics; Computer Science; Computer-Aided Engineering (CAD; Control; Design optimization; Heuristic; Heuristic methods; Math. Applications in Chemistry; Mathematical and Computational Engineering; Multiple objective analysis; Original Article; Seismic design; Steel frames; Steel structures; Structural weight; Systems Theory; Performance-based design; Steel moment-resisting frame; Multi-objective optimization; Chaotic map; Meta-heuristic; Firefly algorithm
• ISSN: 0177-0667; 1435-5663
• DOI: 10.1007/s00366-017-0515-0

In this study, multi-objective optimization is applied to implement performance-based design of steel moment-resisting frame (SMRF) structures. In order to efficiently achieve this purpose, a chaotic multi-objective firefly algorithm (CMOFA) is proposed to find the Pareto optimal front for the multi-objective performance-based optimum design (MO-PBOD) problem of SMRFs. The structural weight and the maximum inter-story drift at performance levels are taken as the conflicting objective functions of the MO-PBOD problem which should be optimized simultaneously subject to serviceability and ultimate limit-state constraints. In order to illustrate the efficiency of the proposed CMOFA meta-heuristic, two benchmark truss examples and three MO-PBOD examples of SMRFs are presented. The numerical results demonstrate the better computational performance of the proposed CMOFA meta-heuristic in comparison with some existing multi-objective algorithms.