Advances in Computational Intelligence in Transport, Logistics, and Supply Chain Management

Advances in Computational Intelligence in Transport, Logistics, and Supply Chain Management pdf epub mobi txt 电子书 下载 2026

☆☆☆☆☆
出版者: 作者:Fink, Andreas (EDT)/ Rothlauf, Franz (EDT) 出品人: 页数:292 译者: 出版时间:2008-8 价格:$ 179.67 装帧: isbn号码:9783540690245 丛书系列:
图书标签
  • Computational Intelligence
  • Transport
  • Logistics
  • Supply Chain Management
  • Optimization
  • Machine Learning
  • Data Mining
  • Artificial Intelligence
  • Algorithms
  • Modeling
想要找书就要到 小哈图书下载中心
立刻按 ctrl+D 收藏本页
你会得到大惊喜!!

具体描述

The book at hand presents a careful selection of relevant applications of CI methods for transport, logistics, and supply chain management problems. The chapters illustrate the current state-of-the-art in the application of CI methods in these fields and should help and inspire researchers and practitioners to apply and develop efficient methods. A few contributions in this book are extended versions of papers presented at EvoTransLog2007: The First European Workshop on Evolutionary Computation in Transportation and Logistics which was held in Valencia, Spain, in 2007. The majority of contributions are from additional, specially selected researchers, who have done relevant work in different areas of transport, logistics, and supply chain management. The goal is to broadly cover representative applications in these fields as well as different types of solution approaches. On the application side, the contributions focus on design of traffic and transportation networks, vehicle routing, and other important aspects of supply chain management such as inventory management, lot sizing, and lot scheduling. On the method side, the contributions deal with evolutionary algorithms, local search approaches, and scatter search combined with other CI techniques such as neural networks or fuzzy approaches. The book is structured according to the application domains. Thus, it has three parts dealing with traffic and transportation networks, vehicle routing, and supply chain management.

这本书系统地探讨了计算智能在交通、物流及供应链管理领域的发展与应用,旨在为研究者和从业者提供全面的理论框架与实践指南。内容涵盖从基础概念到最新技术发展的全方位视角,详细分析了人工智能、大数据分析、优化算法以及机器学习等核心工具如何被结合起来,以提升各行业运营效率和决策精度。书中首先对交通管理中的智能系统进行深入解析,包括实时监控、自动驾驶技术的应用场景及其潜力,同时探讨交通流量预测模型的进展与挑战。接着,物流领域的研究重点集中在路径优化、库存管理和供应链网络设计上,书中详细描绘了多种智能算法如何实现成本降低、配送时效提升及服务质量的改善。 此外,对于供应链管理的探讨非常深入,涵盖信息流与物资流的协同优化、风险预测和应对策略,强调通过数据驱动决策来增强整个体系的弹性与适应能力。书中还引入了多个案例研究,展示了不同行业在计算智能技术应用中的实际效果,从制造业到零售业,再到公共服务领域,均有详细分析和实证支持。这些内容不仅突显了计算智能在提升效率、降低成本及创造价值方面的重要作用,还探讨了当前研究面临的挑战,如数据隐私保护、技术标准化以及跨学科协作等。 书中对未来发展趋势进行了预见性描绘,提出了一系列可行的技术路径和创新方向,包括边缘计算与物联网技术的融合应用,以及多智能体系统在复杂环境中的协同优化能力。这些探讨不仅为理论研究提供了坚实基础,也为实际操作指明了方向。总的来说,这本书通过扎实而全面的内容,系统介绍了计算智能在现代运输、物流与供应链管理领域的重要意义,并展望了这一领域的持续发展潜力。 整个书籍结构清晰,不仅适用于专业研究人员,还能为企业管理者、政策制定者及技术开发者提供有价值的参考依据。通过丰富的案例分析和详实的理论阐述,读者将获得对复杂系统智能化应用深刻理解,同时更清晰地看到这些技术在不同场景下的实际操作效果。这本书无疑是值得深入阅读的优秀资源,它不仅拓宽了视野,还为未来的发展打下坚实基础。

作者简介

目录信息

读后感

☆☆☆☆☆

☆☆☆☆☆

☆☆☆☆☆

☆☆☆☆☆

☆☆☆☆☆

用户评价

☆☆☆☆☆

☆☆☆☆☆

☆☆☆☆☆

☆☆☆☆☆

☆☆☆☆☆