Open AccessInvestigating bound handling schemes and parameter settings for the interior search algorithm to solve truss problems
Author(s) -
Kashani Ali R.,
Chiong Raymond,
Dhakal Sandeep,
Gandomi Amir H.
Publication year - 2021
Publication title -
engineering reports
Language(s) - English
Resource type - Journals
ISSN - 2577-8196
DOI - 10.1002/eng2.12405
Subject(s) - bch code , truss , algorithm , sensitivity (control systems) , mathematical optimization , computer science , range (aeronautics) , mathematics , decoding methods , engineering , structural engineering , electronic engineering , aerospace engineering
Abstract The interior search algorithm (ISA) is an optimization algorithm inspired by esthetic techniques used for interior design and decoration. The algorithm has only one parameter, controlled by θ , and uses an evolutionary boundary constraint handling (BCH) strategy to keep itself within an admissible solution space while approaching the optimum. We apply the ISA to find optimal weight design of truss structures with frequency constraints. Sensitivity of the ISA's performance to the θ parameter and the BCH strategy is investigated by considering different values of θ and BCH techniques. This is the first study in the literature on the sensitivity of truss optimization problems to various BCH approaches. Moreover, we also study the impact of different BCH methods on diversification and intensification. Through extensive numerical simulations, we identified the best BCH methods that provide consistently better results for all truss problems studied, and obtained a range of θ that maximizes the ISA's performance for all problem classes studied. However, results also recommend further fine‐tuning of parameter settings for specific case studies to obtain the best results.