大葉大學圖書館 |

Recent advances in swarm intelligence and evolutionary computation[electronic resource] /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	006.3824
書名/作者:	Recent advances in swarm intelligence and evolutionary computation/ edited by Xin-She Yang.
其他作者:	Yang, Xin-She.
出版者:	Cham : : Springer International Publishing :, 2015.
面頁冊數:	xi, 300 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Swarm intelligence.
標題:	Evolutionary computation.
標題:	Engineering.
標題:	Computational Intelligence.
標題:	Artificial Intelligence (incl. Robotics)
ISBN:	9783319138268 (electronic bk.)
ISBN:	9783319138251 (paper)
內容註:	Swarm Intelligence and Evolutionary Computation: Overview and Analysis -- Globally convergent hybridization of particle swarm optimization using line search-based derivative-free techniques Fireflies in the Fruits and Vegetables: Combining the Firefly Algorithm with Goal Programming for Setting Optimal Osmotic Dehydration Parameters of Produce -- Hybrid Metaheuristic Algorithms: Past, Present and Future -- Binary Flower Pollination Algorithm and Its Application to Feature Selection -- Bat Algorithm Application for the Single Row Facility Layout Problem -- Discrete Cuckoo Search Applied to Job Shop Scheduling Problem -- Cuckoo Search and Bat Algorithm Applied to Training Feed-Forward Neural Networks -- The Potential of the Firefly Algorithm for Damage Localization and Stiffness Identification -- Synthesizing Cross-Ambiguity Functions Using An Improved Bat Algorithm -- Sustainable Building Design: A Review on Recent Metaheuristic Methods -- Firefly Algorithm for Flow Shop Optimization -- Evaluation of Harmony Search and Differential Evolution Optimization Algorithms on Solving the Booster Station Optimization Problems in Water Distribution Networks -- Web Document Clustering by Using PSO-Based Cuckoo Search Clustering Algorithm -- Analysis of Trusses Using Particle Swarm Optimization.
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-3-319-13826-8

Recent advances in swarm intelligence and evolutionary computation[electronic resource] /
Recent advances in swarm intelligence and evolutionary computation[electronic resource] /edited by Xin-She Yang. - Cham :Springer International Publishing :2015. - xi, 300 p. :ill., digital ;24 cm. - Studies in computational intelligence,v.5851860-949X ;. - Studies in computational intelligence ;v.379..

Swarm Intelligence and Evolutionary Computation: Overview and Analysis -- Globally convergent hybridization of particle swarm optimization using line search-based derivative-free techniques Fireflies in the Fruits and Vegetables: Combining the Firefly Algorithm with Goal Programming for Setting Optimal Osmotic Dehydration Parameters of Produce -- Hybrid Metaheuristic Algorithms: Past, Present and Future -- Binary Flower Pollination Algorithm and Its Application to Feature Selection -- Bat Algorithm Application for the Single Row Facility Layout Problem -- Discrete Cuckoo Search Applied to Job Shop Scheduling Problem -- Cuckoo Search and Bat Algorithm Applied to Training Feed-Forward Neural Networks -- The Potential of the Firefly Algorithm for Damage Localization and Stiffness Identification -- Synthesizing Cross-Ambiguity Functions Using An Improved Bat Algorithm -- Sustainable Building Design: A Review on Recent Metaheuristic Methods -- Firefly Algorithm for Flow Shop Optimization -- Evaluation of Harmony Search and Differential Evolution Optimization Algorithms on Solving the Booster Station Optimization Problems in Water Distribution Networks -- Web Document Clustering by Using PSO-Based Cuckoo Search Clustering Algorithm -- Analysis of Trusses Using Particle Swarm Optimization.

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.

ISBN: 9783319138268 (electronic bk.)

Standard No.: 10.1007/978-3-319-13826-8doiSubjects--Topical Terms:

470574
Swarm intelligence.

LC Class. No.: Q337.3

Dewey Class. No.: 006.3824

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520 $a 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.
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