Description
Operational Research, 1st ed. 2019
IO 2018, Aveiro, Portugal, September 5-7
Springer Proceedings in Mathematics & Statistics Series, Vol. 278
Coordinators: Alves Maria João, Almeida João Paulo, Oliveira José Fernando, Pinto Alberto Adrego
Language: EnglishSubjects for Operational Research:
Keywords
Modeling; Continuous Optimization; Discrete Optimization; Nonlinear Programming; Metaheuristics; Multicriteria; Decision Analysis; Decision Support Systems; Data Envelopment Analysis; Clustering Analysis; simulation; game theory; networks; scheduling; supply chain; logistics; production management
Support: Print on demand
Description
/li>Contents
/li>Comment
/li>
This book gathers selected contributions by top Portuguese and international researchers in the field of Operations Research, presented at the 19th Congress of APDIO (Portuguese Association of Operational Research). The papers address a broad range of complex real-world problems, which are approached using recent theoretical techniques. Of particular interest are the applications of e.g. linear, nonlinear and mixed-integer programming, multiobjective optimization, metaheuristics and hybrid heuristics, multicriteria decision analysis, data envelopment analysis, clustering techniques and decision support systems, in such varied contexts as: supply chain management, scheduling problems, production management, logistics, energy, finance and healthcare.
This conference, organized by APDIO and held in Aveiro, Portugal in September 2018, offered an ideal opportunity to discuss the latest developments in this field and to build new bridges between academic researchers and practitioners. Summarizing the outcomes, this book offers a valuable tool for all researchers, students and practitioners who wish to learn about the latest trends in this field.
Selected contributions emerging from the XIX Congress APDIO by Portuguese and International top researchers in the field of Operations Research
Addresses complex real world problems with recent techniques
Aims to narrow the gap between academic research and real world applications