A Hybrid Harmony Search algorithm for discrete sizing optimization of truss structure

• Published in: Automation in construction Vol. 69; pp. 21 - 33
• Main Authors: Cheng, Min-Yuan, Prayogo, Doddy, Wu, Yu-Wei, Lukito, Martin Marcellinus
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.09.2016
• Subjects: Discrete sizing optimization of truss structures; Global-best PSO; Harmony Search algorithm; Hybrid Harmony Search algorithm; Neighbourhood search; Harmony Search algorithm; Hybrid Harmony Search algorithm; Global-best PSO; Neighbourhood search; Discrete sizing optimization of truss structures
• ISSN: 0926-5805
• DOI: 10.1016/j.autcon.2016.05.023

This paper presents a new variant of the Harmony Search (HS) algorithm. This Hybrid Harmony Search (HHS) algorithm follows a new approach to improvisation: while retaining HS algorithm Harmony Memory and pitch adjustment functions, it replaces the HS algorithm randomization function with Global-best Particle Swarm Optimization (PSO) search and neighbourhood search. HHS algorithm performance is tested on six discrete truss structure optimization problems under multiple loading conditions. Optimization results demonstrate the excellent performance of the HHS algorithm in terms of both optimum solution and the convergence behaviour in comparison with various alternative optimization methods. •A new Hybrid Harmony Search (HHS) algorithm is introduced for discrete truss sizing problems.•Six test problems are solved.•The HHS algorithm is very competitive with literature.