Advances in Computational Intelligence in Transport, Logistics, and Supply Chain Management pdf epub mobi txt 電子書下載在線閱讀 2026

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出版者:

作者:Fink, Andreas (EDT)/ Rothlauf, Franz (EDT)

出品人:

頁數:292

译者:

出版時間:2008-8

價格:$ 179.67

裝幀:

isbn號碼:9783540690245

叢書系列:

圖書標籤:

Computational Intelligence
Transport
Logistics
Supply Chain Management
Optimization
Machine Learning
Data Mining
Artificial Intelligence
Algorithms
Modeling

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具體描述

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.

這本書係統地探討瞭計算智能在交通、物流及供應鏈管理領域的發展與應用，旨在為研究者和從業者提供全麵的理論框架與實踐指南。內容涵蓋從基礎概念到最新技術發展的全方位視角，詳細分析瞭人工智能、大數據分析、優化算法以及機器學習等核心工具如何被結閤起來，以提升各行業運營效率和決策精度。書中首先對交通管理中的智能係統進行深入解析，包括實時監控、自動駕駛技術的應用場景及其潛力，同時探討交通流量預測模型的進展與挑戰。接著，物流領域的研究重點集中在路徑優化、庫存管理和供應鏈網絡設計上，書中詳細描繪瞭多種智能算法如何實現成本降低、配送時效提升及服務質量的改善。此外，對於供應鏈管理的探討非常深入，涵蓋信息流與物資流的協同優化、風險預測和應對策略，強調通過數據驅動決策來增強整個體係的彈性與適應能力。書中還引入瞭多個案例研究，展示瞭不同行業在計算智能技術應用中的實際效果，從製造業到零售業，再到公共服務領域，均有詳細分析和實證支持。這些內容不僅突顯瞭計算智能在提升效率、降低成本及創造價值方麵的重要作用，還探討瞭當前研究麵臨的挑戰，如數據隱私保護、技術標準化以及跨學科協作等。書中對未來發展趨勢進行瞭預見性描繪，提齣瞭一係列可行的技術路徑和創新方嚮，包括邊緣計算與物聯網技術的融閤應用，以及多智能體係統在復雜環境中的協同優化能力。這些探討不僅為理論研究提供瞭堅實基礎，也為實際操作指明瞭方嚮。總的來說，這本書通過紮實而全麵的內容，係統介紹瞭計算智能在現代運輸、物流與供應鏈管理領域的重要意義，並展望瞭這一領域的持續發展潛力。整個書籍結構清晰，不僅適用於專業研究人員，還能為企業管理者、政策製定者及技術開發者提供有價值的參考依據。通過豐富的案例分析和詳實的理論闡述，讀者將獲得對復雜係統智能化應用深刻理解，同時更清晰地看到這些技術在不同場景下的實際操作效果。這本書無疑是值得深入閱讀的優秀資源，它不僅拓寬瞭視野，還為未來的發展打下堅實基礎。