A Genetic Programming Framework for Heuristic Generation for the Job-Shop Scheduling Problem
The Job-Shop Scheduling problem is a combinatorial optimization problem present in many real-world applications. It has been tackled with a colorful palette of techniques from different paradigms. Particularly, hyper-heuristics have attracted the attentio
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Lourdes Martínez-Villaseñor Oscar Herrera-Alcántara Hiram Ponce Félix A. Castro-Espinoza (Eds.)
Advances in Soft Computing 19th Mexican International Conference on Artificial Intelligence, MICAI 2020 Mexico City, Mexico, October 12–17, 2020 Proceedings, Part I
123
Lecture Notes in Artificial Intelligence Subseries of Lecture Notes in Computer Science
Series Editors Randy Goebel University of Alberta, Edmonton, Canada Yuzuru Tanaka Hokkaido University, Sapporo, Japan Wolfgang Wahlster DFKI and Saarland University, Saarbrücken, Germany
Founding Editor Jörg Siekmann DFKI and Saarland University, Saarbrücken, Germany
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More information about this series at http://www.springer.com/series/1244
Lourdes Martínez-Villaseñor Oscar Herrera-Alcántara Hiram Ponce Félix A. Castro-Espinoza (Eds.) •
•
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Advances in Soft Computing 19th Mexican International Conference on Artificial Intelligence, MICAI 2020 Mexico City, Mexico, October 12–17, 2020 Proceedings, Part I
123
Editors Lourdes Martínez-Villaseñor Facultad de Ingeniería Universidad Panamericana Mexico City, Mexico Hiram Ponce Facultad de Ingeniería Universidad Panamericana Mexico City, Mexico
Oscar Herrera-Alcántara Universidad Autónoma Metropolitana Mexico City, Mexico Félix A. Castro-Espinoza Universidad Autónoma del Estado de Hidalgo Hidalgo, Mexico
ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Artificial Intelligence ISBN 978-3-030-60883-5 ISBN 978-3-030-60884-2 (eBook) https://doi.org/10.1007/978-3-030-60884-2 LNCS Sublibrary: SL7 – Artificial Intelligence © Springer Nature Switzerland AG 2020 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Switzerland AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Preface
The Mexican International Conference on Artificial Intelligence (MIC
