Open AccessAccelerated Particle Swarm Optimizer for Optimizing Problems of Structural Engineering
Author(s) -
Meenu Sharma,
Shahnwaz Alam,
Muhammad Imran Khan
Publication year - 2018
Publication title -
samriddhi - a journal of physical sciences, engineering and technology
Language(s) - English
Resource type - Journals
eISSN - 2454-5767
pISSN - 2229-7111
DOI - 10.18090/samriddhi.v10i01.7
Subject(s) - mathematical optimization , particle swarm optimization , multi swarm optimization , computer science , heuristic , metaheuristic , domain (mathematical analysis) , derivative free optimization , engineering optimization , perspective (graphical) , optimization problem , mathematics , artificial intelligence , mathematical analysis
The aim of the present work is to find a solution to non-linear constrained optimization problems of structure. Constrained optimization difficulties are practical shortcomings. The loopholes of traditional numerical methods are being removed by heuristic methods as no requirement of the functional derivatives is desired and approaches to the global way out. This article presents a “penalty guided Accelerated Particle Swarm Optimization (APSO) algorithm” to search the problem’s optimal solution in the feasible region of whole search domain. There is numerical result and comparison of the structural design optimization problems. The way out by the current perspective proves to be the better than other techniques and it can be said that our findings show better solutions to engineering problems than those earlier obtained using current algorithms.