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Titlebook: IEIS 2023; Proceedings of 10th Menggang Li,Hua Guowei,Dan Chang Conference proceedings 2024 The Editor(s) (if applicable) and The Author(s

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书目名称IEIS 2023
副标题Proceedings of 10th
编辑Menggang Li,Hua Guowei,Dan Chang
视频video
概述Provides insights in solving the problems in logistics, informatics, service operations and service science.Features research in such areas as logistics, supply chain, information management and servi
丛书名称Lecture Notes in Operations Research
图书封面Titlebook: IEIS 2023; Proceedings of 10th  Menggang Li,Hua Guowei,Dan Chang Conference proceedings 2024 The Editor(s) (if applicable) and The Author(s
描述.The proceedings volume is the documentary of IEIS 2023, held online on 26-28 July 2023. IEIS 2023 (International Conference on Industrial Economics System and Industrial Security Engineering), which is co-organized by Beijing Jiaotong University and The Hong Kong Polytechnic University, is a prime international forum for people involved in the conference in the world to discuss the problems in industrial economics and industrial security theories and practices. It aims to provide insights in solving the problems in national economy, social development and economic security. The conference theme is “Industrial development, industrial security and national economic security under the background of globalization”. .
出版日期Conference proceedings 2024
关键词Computer Science; Informatics; Conference Proceedings; Research; Applications; Industrial Economy; Industr
版次1
doihttps://doi.org/10.1007/978-981-97-4137-3
isbn_softcover978-981-97-4139-7
isbn_ebook978-981-97-4137-3Series ISSN 2731-040X Series E-ISSN 2731-0418
issn_series 2731-040X
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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978-981-97-4139-7The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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https://doi.org/10.1007/978-981-97-4137-3Computer Science; Informatics; Conference Proceedings; Research; Applications; Industrial Economy; Industr
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Research on Path Planning of Mobile Robot Based on Improved Immune-Ant Colony Algorithm,heromone in the early stage. By comparing the experimental results of the two algorithms, the advantages of hybrid algorithm are illustrated. The experimental results show that the improved Immune Ant Colony Algorithm can better solve the path planning problem of mobile robots in complex environments.
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