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商品描述
This timely review volume summarizes the state-of-the-art developments in nature-inspired algorithms and applications with the emphasis on swarm intelligence and bio-inspired computation. Topics include the analysis and overview of swarm intelligence and evolutionary computation, hybrid metaheuristic algorithms, bat algorithm, discrete cuckoo search, firefly algorithm, particle swarm optimization, and harmony search as well as convergent hybridization. Application case studies have focused on the dehydration of fruits and vegetables by the firefly algorithm and goal programming, feature selection by the binary flower pollination algorithm, job shop scheduling, single row facility layout optimization, training of feed-forward neural networks, damage and stiffness identification, synthesis of cross-ambiguity functions by the bat algorithm, web document clustering, truss analysis, water distribution networks, sustainable building designs and others.
As a timely review, this book can serve as an ideal reference for graduates, lecturers, engineers and researchers in computer science, evolutionary computing, artificial intelligence, machine learning, computational intelligence, data mining, engineering optimization and designs.
商品描述(中文翻譯)
這本及時的綜述書籍總結了自然啟發演算法及其應用的最新發展，重點在於群體智慧和生物啟發計算。主題包括群體智慧和進化計算的分析與概述、混合元啟發式演算法、蝙蝠演算法、離散布穀搜尋、螢火蟲演算法、粒子群優化以及和諧搜尋，還有收斂混合化的探討。應用案例研究集中於利用螢火蟲演算法和目標規劃進行水果和蔬菜的脫水、利用二元花粉傳播演算法進行特徵選擇、作業排程、單排設施佈局優化、前饋神經網絡的訓練、損傷和剛度識別、利用蝙蝠演算法合成交叉模糊函數、網頁文件聚類、桁架分析、水分配網絡、可持續建築設計等。
作為一本及時的綜述，本書可作為計算機科學、進化計算、人工智慧、機器學習、計算智能、資料探勘、工程優化和設計等領域的畢業生、講師、工程師和研究人員的理想參考資料。
