Natural Forest Regeneration Algorithm for Optimum Design of Truss Structures with Continuous and Discrete Variables

Authors

  • Hossein Moez
  • Ali Kaveh
    Affiliation
    Iran University of Science and Technology, Iran
  • Nasser Taghizadieh
https://doi.org/10.3311/PPci.8884

Abstract

In  this  paper  the  recently  developed  nature  inspired  metaheuristic algorithm is utilized for optimum design of truss structures with continuous and discrete variables.  This algorithm is inspired  by  the  natural  process  happening  in  the  forests  with the  rapidly  change  of  environment  and  their  natural  regeneration.   Based  on  this  process  a  simple  powerful  optimization technique is introduced so-called Natural Forest Regeneration (NFR).  Some  well-studied  benchmark  structural  problems  are investigated with both continuous and discrete sizing variables and the results of the NRF are compared to those of some previously developed algorithms.

Keywords:

truss optimum design, continuous variables, discrete variables, natural forest regeneration method, meta-heuristic algorithm, nature-inspired optimization

Citation data from Crossref and Scopus

Published Online

2016-02-09

How to Cite

Moez, H., Kaveh, A., Taghizadieh, N. “Natural Forest Regeneration Algorithm for Optimum Design of Truss Structures with Continuous and Discrete Variables”, Periodica Polytechnica Civil Engineering, 60(2), pp. 257–267, 2016. https://doi.org/10.3311/PPci.8884

Issue

Section

Research Article