國立高雄大學圖資館 |

Language: English

Back

Intelligent optimisation with the bees algorithmconcepts and applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Intelligent optimisation with the bees algorithmby Duc Truong Pham, Marco Castellani, Luca Baronti.
Reminder of title:	concepts and applications /
Author:	Pham, Duc Truong.
other author:	Castellani, Marco.
Published:	Cham :Springer Nature Switzerland :2025.
Description:	xvi, 277 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	BeesBehavior
Online resource:	https://doi.org/10.1007/978-3-031-87286-0
ISBN:	9783031872860$q(electronic bk.)

Intelligent optimisation with the bees algorithmconcepts and applications /
Pham, Duc Truong.

Intelligent optimisation with the bees algorithmconcepts 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$q(electronic bk.)

Standard No.: 10.1007/978-3-031-87286-0doiSubjects--Topical Terms:

1009393
Bees
--Behavior

LC Class. No.: QA402.5 / .P43 2025

Dewey Class. No.: 519.3

Intelligent optimisation with the bees algorithmconcepts and applications /
LDR:03076nmm a22003375a 4500 001 693017
003 DE-He213
005 20250806173049.0
006 m d
007 cr nn 008maaau
008 260622s2025 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. $3 953915
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 : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2025.
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 1009393
650 1 4 $a Industrial and Production Engineering. $3 273753
650 2 4 $a Engineering Design. $3 273752
650 2 4 $a Algorithms. $3 184661
650 2 4 $a Optimization. $3 274084
650 2 4 $a Control, Robotics, Automation. $3 914981
650 2 4 $a Artificial Intelligence. $3 212515
700 1 $a Castellani, Marco. $3 1009391
700 1 $a Baronti, Luca. $3 1009392
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Springer series in advanced manufacturing. $3 558114
856 4 0 $u https://doi.org/10.1007/978-3-031-87286-0
950 $a Mechanical Engineering (R0) (SpringerNature-85268)