語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Intelligent optimisation with the bees algorithm = concepts and applications /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Intelligent optimisation with the bees algorithm/ by Duc Truong Pham, Marco Castellani, Luca Baronti.
其他題名:
concepts and applications /
作者:
Pham, Duc Truong.
其他作者:
Castellani, Marco.
出版者:
Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:
xvi, 277 p. :ill., digital ; : 24 cm.;
Contained By:
Springer Nature eBook
標題:
Bees - Behavior -
電子資源:
https://doi.org/10.1007/978-3-031-87286-0
ISBN:
9783031872860
Intelligent optimisation with the bees algorithm = concepts and applications /
Pham, Duc Truong.
Intelligent optimisation with the bees algorithm
concepts and applications /[electronic resource] :by Duc Truong Pham, Marco Castellani, Luca Baronti. - Cham :Springer Nature Switzerland :2025. - xvi, 277 p. :ill., digital ;24 cm. - Springer series in advanced manufacturing,2196-1735. - Springer series in advanced manufacturing..
Introduction -- The Bees algorithm -- Empirical study -- Analytical study -- Case study: Robot control optimisation -- Case study: PCB assembly optimisation -- Case study: Multi-solution problems -- Latest developments -- Appendices.
This book offers an extensive guide to understanding, implementing, and applying the Bees Algorithm, a powerful nature-inspired optimisation metaheuristic that mimics the foraging behaviour of honey bees. In today's highly interconnected world, systems have become more difficult to optimise. This book addresses the challenge of solving complex optimisation problems efficiently and effectively by drawing inspiration from the remarkable problem-solving abilities observed in nature. The Bees Algorithm provides an elegant, simple, robust, and adaptable approach to navigate the complexities of high-dimensional, multimodal, or time-varying problems that often stymie traditional optimisation methods. This book offers an in-depth exploration of the algorithm, providing a thorough understanding of its underlying principles and mechanisms. It establishes a mathematical framework for the algorithm, facilitating a clearer insight into its behaviour and performance. Through empirical studies and benchmarks, the book demonstrates the algorithm's effectiveness across a range of optimisation problems. Additionally, it showcases practical applications of the Bees Algorithm in diverse fields such as engineering design, robotics, and manufacturing. Finally, it discusses the latest developments and variants of the algorithm, highlighting its potential for future research and innovation. With its accessible style and step-by-step guidance, this book equips readers-be they researchers, practitioners, or students in computer science, engineering, or optimisation-with the knowledge and tools to leverage the principles of swarm intelligence and biomimicry to solve the real-world optimisation challenges of the new industrial age.
ISBN: 9783031872860
Standard No.: 10.1007/978-3-031-87286-0doiSubjects--Topical Terms:
1503185
Bees
--Behavior
LC Class. No.: QA402.5 / .P43 2025
Dewey Class. No.: 519.3
Intelligent optimisation with the bees algorithm = concepts and applications /
LDR
:03075nam a22003375a 4500
001
1172465
003
DE-He213
005
20250806173049.0
006
m d
007
cr nn 008maaau
008
260625s2025 sz s 0 eng d
020
$a
9783031872860
$q
(electronic bk.)
020
$a
9783031872853
$q
(paper)
024
7
$a
10.1007/978-3-031-87286-0
$2
doi
035
$a
978-3-031-87286-0
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA402.5
$b
.P43 2025
072
7
$a
TGP
$2
bicssc
072
7
$a
TEC009060
$2
bisacsh
072
7
$a
TGP
$2
thema
082
0 4
$a
519.3
$2
23
090
$a
QA402.5
$b
.P534 2025
100
1
$a
Pham, Duc Truong.
$e
author.
$3
1388186
245
1 0
$a
Intelligent optimisation with the bees algorithm
$h
[electronic resource] :
$b
concepts and applications /
$c
by Duc Truong Pham, Marco Castellani, Luca Baronti.
260
$a
Cham :
$c
2025.
$b
Springer Nature Switzerland :
$b
Imprint: Springer,
300
$a
xvi, 277 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Springer series in advanced manufacturing,
$x
2196-1735
505
0
$a
Introduction -- The Bees algorithm -- Empirical study -- Analytical study -- Case study: Robot control optimisation -- Case study: PCB assembly optimisation -- Case study: Multi-solution problems -- Latest developments -- Appendices.
520
$a
This book offers an extensive guide to understanding, implementing, and applying the Bees Algorithm, a powerful nature-inspired optimisation metaheuristic that mimics the foraging behaviour of honey bees. In today's highly interconnected world, systems have become more difficult to optimise. This book addresses the challenge of solving complex optimisation problems efficiently and effectively by drawing inspiration from the remarkable problem-solving abilities observed in nature. The Bees Algorithm provides an elegant, simple, robust, and adaptable approach to navigate the complexities of high-dimensional, multimodal, or time-varying problems that often stymie traditional optimisation methods. This book offers an in-depth exploration of the algorithm, providing a thorough understanding of its underlying principles and mechanisms. It establishes a mathematical framework for the algorithm, facilitating a clearer insight into its behaviour and performance. Through empirical studies and benchmarks, the book demonstrates the algorithm's effectiveness across a range of optimisation problems. Additionally, it showcases practical applications of the Bees Algorithm in diverse fields such as engineering design, robotics, and manufacturing. Finally, it discusses the latest developments and variants of the algorithm, highlighting its potential for future research and innovation. With its accessible style and step-by-step guidance, this book equips readers-be they researchers, practitioners, or students in computer science, engineering, or optimisation-with the knowledge and tools to leverage the principles of swarm intelligence and biomimicry to solve the real-world optimisation challenges of the new industrial age.
650
0
$a
Bees
$x
Behavior
$x
Mathematical models.
$3
1503185
650
1 4
$a
Industrial and Production Engineering.
$3
593943
650
2 4
$a
Engineering Design.
$3
670857
650
2 4
$a
Algorithms.
$3
527865
650
2 4
$a
Optimization.
$3
669174
650
2 4
$a
Control, Robotics, Automation.
$3
1365878
650
2 4
$a
Artificial Intelligence.
$3
646849
700
1
$a
Castellani, Marco.
$e
author.
$3
1308670
700
1
$a
Baronti, Luca.
$3
1503184
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
830
0
$a
Springer series in advanced manufacturing.
$3
721214
856
4 0
$u
https://doi.org/10.1007/978-3-031-87286-0
950
$a
Mechanical Engineering (R0) (SpringerNature-85268)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入