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About

About

João Bastos is an Associate Professor at the Department of Mechanical Engineering of ISEP - Polytechnic of Porto. With the Degree in Mechanical Engineering from FEUP, Master's degree in Electrical and Computer Engineering in the field of Industrial Informatics at FEUP, and is a PhD student of the Doctoral Program in Industrial Engineering and Management - PRODEIG at FEUP. His areas of interest are: Supply Chain Management, Distributed Planning, Optimization of production systems. He is a researcher at the National Institute for Systems and Computers of Porto - INESC TEC Laboratório Associado and participates in several research projects. Participates in national and international conferences and publishes in journals as well.

Interest
Topics
Details

Details

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Publications

2023

Bat Algorithm for Discrete Optimization Problems: An Analysis

Authors
Sousa, B; Guerreiro, R; Santos, AS; Bastos, JA; Varela, LR; Brito, MF;

Publication
Lecture Notes in Mechanical Engineering

Abstract

2023

Firefly and Cuckoo Search Algorithm for Scheduling Problems: A Performance Analysis

Authors
Moreira, C; Costa, C; Santos, AS; Bastos, JA; Varela, LR; Brito, MF;

Publication
Lecture Notes in Mechanical Engineering

Abstract

2022

A Novel Discrete Particle Swarm Optimization Algorithm for the Travelling Salesman Problems

Authors
Sequeiros, JA; Silva, R; Santos, AS; Bastos, J; Varela, MLR; Madureira, AM;

Publication
INNOVATIONS IN INDUSTRIAL ENGINEERING

Abstract
There are Optimization Problems that are too complex to be solved efficiently by deterministic methods. For these problems, where deterministic methods have proven to be inefficient, if not completely unusable, it is common to use approximate methods, that is, optimization methods that solve the problems quickly, regardless of their size or complexity, even if they do not guarantee optimal solutions. In other words, methods that find “acceptable” solutions, efficiently. One particular type of approximate method, which is particularly effective in complex problems, are metaheuristics. Particle Swarm Optimization is a population-based metaheuristic, which has been particularly successful. In order to broaden the application and overcome the limitation of Particle Swarm Optimization, a discrete version of the metaheuristics is proposed. The Discrete Particle Swarm Optimization, DPSO, will change the PSO algorithm so it can be applied to discrete optimization problems. This alteration will focus on the velocity update equation. The DPSO was tested in an instance of the Traveling Salesman Problem, att48, 48 points problems proposed by Padberg and Rinaldi, which showed some promising results. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

2022

A Tool for Air Cargo Planning and Distribution

Authors
Costa, D; Santos, AS; Bastos, JA; Madureira, AM; Brito, MF;

Publication
INNOVATIONS IN BIO-INSPIRED COMPUTING AND APPLICATIONS, IBICA 2021

Abstract
In this paper, a decision support application, for the air cargo planning and distribution, is proposed. The freight forwarding sector has been working to be assertive and efficient in responding to the market through an efficient approach to planning and allocation problems. The main goal is to minimize costs and improve performance. A real air cargo distribution problem for a freight forwarder was addressed. This project emerged from the need to efficiently plan and minimize costs for the distribution of thousands of m(3) (cubic meters) of air cargo, while considering the market restrictions, such as aircraft availability and transportation fees. Through the GRG algorithm adaptation to the real problem, it was possible to respond to the main goal of this paper. The development of an easy-to-use application ensures a quick response in the air distribution planning, focusing on cost reduction in transportation. With the application development it is possible to obtain real earnings with immediate effect.

2022

Analysis and Comparison of DABC and ACO in a Scheduling Problem

Authors
Ferreira, AR; Soares, Â; Santos, AS; Bastos, JA; Varela, LR;

Publication
Lecture Notes in Mechanical Engineering

Abstract

Supervised
thesis

2022

Estudo Da Implementação De Um Sistema De Monitorização E Análise De Dados Na Indústria Metalomecânica

Author
JOÃO MIGUEL SOARES CARNEIRO

Institution
IPP-ISEP

2022

MELHORIA DO PROCESSO DE GESTÃO DE INFORMAÇÃO NO SUPORTE AO CONTROLO DE QUALIDADE NUMA EMPRESA DO RAMO AUTOMÓVEL

Author
TIAGO ANDRÉ MOURA OLIVEIRA

Institution
IPP-ISEP

2021

APLICAÇÃO LEAN MANUFACTURING NA REDUÇÃO DO TEMPO DE RESPOSTA NO SETOR DE ENERGIAS RENOVÁVEIS

Author
TIAGO JESUS GONÇALVES

Institution
IPP-ISEP

2021

DESENVOLVIMENTO E INDUSTRIALIZAÇÃO DE UM MARCO PARA CONTENTORES ENTERRADOS DE RESÍDUOS

Author
ANTÓNIO JORGE PINTO COSTA VASQUES

Institution
IPP-ISEP

2021

MELHORIA DO PROCESSO DE MONOTORIZAÇÃO E CONTROLO DA PRODUÇÃO NA INDÚSTRIA CORTICEIRA

Author
JOÃO CARLOS PAIS SANTOS

Institution
IPP-ISEP