東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Recent advances in swarm intelligenc...

Yang, Xin-She.

FindBook

Google Book

Amazon

博客來

Recent advances in swarm intelligence and evolutionary computation

紀錄類型:	書目-電子資源 : Monograph/item
正題名/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.
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.
Contained By:	Springer eBooks
標題:	Swarm intelligence. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-13826-8
ISBN:	9783319138268 (electronic bk.)

Recent advances in swarm intelligence and evolutionary computation
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:

577800
Swarm intelligence.

LC Class. No.: Q337.3

Dewey Class. No.: 006.3824

Recent advances in swarm intelligence and evolutionary computation
LDR:03553nmm a2200325 a 4500 001 1994565
003 DE-He213
005 20150807142223.0
006 m d
007 cr nn 008maaau
008 151019s2015 gw s 0 eng d
020 $a 9783319138268 (electronic bk.)
020 $a 9783319138251 (paper)
024 7 $a 10.1007/978-3-319-13826-8 $2 doi
035 $a 978-3-319-13826-8
040 $a GP $c GP
041 0 $a eng
050 4 $a Q337.3
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
082 0 4 $a 006.3824 $2 23
090 $a Q337.3 $b .R295 2015
245 0 0 $a Recent advances in swarm intelligence and evolutionary computation $h [electronic resource] / $c edited by Xin-She Yang.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a xi, 300 p. : $b ill., digital ; $c 24 cm.
490 1 $a Studies in computational intelligence, $x 1860-949X ; $v v.585
505 0 $a 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.
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.
650 0 $a Swarm intelligence. $3 577800
650 0 $a Evolutionary computation. $3 582189
650 1 4 $a Engineering. $3 586835
650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 890894
700 1 $a Yang, Xin-She. $3 906652
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Studies in computational intelligence ; $v v.379. $3 1565969
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-13826-8
950 $a Engineering (Springer-11647)