A decision support system with 3D visualization for box space optimization using the locust-based particle swarm optimization algorithm

International Conference on Information Technology and Digital Applications 2018

计算机科学;无线电电子学

Janea, C.^1 ; Alcisto, B.L.^1 ; Maderazo, C.^1

Department of Computer and Information Sciences, School of Arts and Sciences, University of San Carlos, Cebu City, Philippines^1

关键词: 3D Visualization;    Non stops;    Optimal arrangement;    Particle swarm optimization algorithm;    Sample models;    Scarce resources;    Space allocation;    World population;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/482/1/012048/pdf
DOI  :  10.1088/1757-899X/482/1/012048

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

The non-stop increase in world population has resulted to an increase of the demand of space for human habitability. Space allocation is a problem mostly dealt with those with limited to scarce resources, and those who cannot afford or are not willing to spend for an alternative or an additional space as a solution. The objective, then, is to aid people in maximizing their current available space without having to sacrifice cost, time, and effort. This study has developed a decision support system that provides the optimum arrangement between a set of objects, selected by the user from sample models from the ShapeNet dataset presented by the system through 3D Visualization, to maximize the space of the given box. The developed system obtained the optimal arrangement, which maximized 60% to 91% space of the given box, of the set of objects by utilizing the locust-based Particle Swarm Optimization algorithm.