TIAAIL40: Technological and Industrial Applications Associated with Intelligent Logitics |
Submission link | https://easychair.org/conferences/?conf=tiaail40 |
Submission deadline | September 15, 2020 |
This comprehensive and timely publication aims to be an essential reference source, building on the available literature in the field of Logstics 4.0 and Intelligent Logistics which are widely used in nowadays in all world. This book will be an adequate source of information that compiles interdisciplinary perspectives about diverse issues related with Intelligent Optimization, Social applications to Z generation and Technology applications each one with a different perspective about the correct solution of this kind of methodologies.
Logistics 4.0 including Intelligent Logistics is widely used in nowadays in all world. This book will be an adequate source of Information that compiles interdisciplinary perspectives about diverse issues related with Vehicle Routing Problems, Optimization, Social applications and Technology applications each one with a different perspective about the correct solution of this kind of methodologies. Optimization is present if many fields of science and technology because it is always necessary to find the best value in different implementations.
This book is aimed to provide the reader with the most representative tools used in Logstics 4.0 and Intelligent Logistics. It can be used for student, scientist and practitioners of different fields. The book is divided in section according with the content of the chapters, the first section includes the concepts of hybridization in Logstics 4.0 and Intelligent Logistics, the second section will cover the intelligent techniques used in Logstics 4.0 and Intelligent Logistics using benchmarks and the remainder sections analyses the implementation of Logstics 4.0 and Intelligent Logistics. for in real-world applications. Then the reader can easily find all the information in only one document.
The book is focused on the theory and application of Logstics 4.0 and Intelligent Logistics, including hybridization and implementations in different fields. In this sense, topics are selected based on their importance and complexity in this field — for example, image processing associated with bin packing problem, clustering, feature selection, energy, industrial applications among others.
The chapters are self-explained, and the reader could read each one separately. They explain the algorithm used, the selected problem and the implementation. Additionally, practical examples, comparisons and experimental results are provided. In this context, the reader can easily interpret and reproduce the results experimenting by itself.
We invite all researchers and practitioners who are developing algorithms, systems, and applications related with applications of Logstics 4.0 and Intelligent Logistics, to share their results, ideas, and experiences.
Submission Guidelines
Submitted manuscripts should conform to the standard guidelines of Springer’s book chapter format. Manuscripts must be prepared using Latex or Word according to Springer’s template that can be downloaded from https://www.springer.com/birkhauser/mathematics/download?SGWID=0-40465-0-0-0
Manuscripts that do not follow the formatting rules will be ignored. Prospective authors should send their manuscripts electronically by easychair system in PDF. Submitted manuscripts will be refereed by at least two independent and expert reviewers for quality, correctness, originality, and relevance. The accepted contributions will be published in Intelligent Systems Reference Library by Springer. More information about Intelligent Systems Reference Library can be found at
https://www.springer.com/series/7092
List of Topics
The many academic areas covered in this publication include, but are not limited to:
- Computer Simulation
- Game Theory
- Logistics Management
- Operations Management
- Optimization Algorithms
- Supply Chain Management
- Transportation Planning
- Intelligent applications of Logistics associated with a Smart C
- These applications Will be improved using next AI techniques as:
- Hybrid Metaheuristics
- Theoretical aspects of hybridization
- Automated parameter tuning
Committees
Dr. Alberto Ochoa Zezzatti
Departamento de Ingeniería Industrial y Manufactura
Universidad Autónoma de Ciudad Juárez
Dr. Diego Oliva
Departamento de Ciencias Computacionales,
Universidad de Guadalajara, CUCEI, México
diego.oliva(at)cucei.udg.mx, doliva(at)ucm.es
Dr. Angel Juan Perez,
IN3 - Computer Science Dept., Universitat Oberta de Catalunya, Spain
ajuanp(at)uoc.edu
Publication
TIAAIL40 proceedings will be published in http://www.springer.com/series/15991