Applications of the Bees Algorithm - nature-Inspired optimisation of manufacturing processes

Marco Castellani; Luca Baronti; Yuanjun Laili; Duc Pham

doi:10.4018/978-1-7998-8686-0.ch010

Applications of the Bees Algorithm - nature-Inspired optimisation of manufacturing processes

Marco Castellani, Luca Baronti, Yuanjun Laili, Duc Pham

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

Abstract

The Bees Algorithm is a popular intelligent optimisation algorithm inspired by the foraging behaviour of honeybees. This paper describes the application of two combinatorial variants of the Bees Algorithm to the optimisation of manufacturing processes. The first variant was created for minimisation of printed circuit board assembly times, whilst the second was devised for fast replanning of robotic disassembly of mechanical parts. In both cases, the bees-inspired paradigm proved effective in efficiently solving complex engineering optimisation problems.

Original language	English
Title of host publication	Handbook of Research on New Investigations in Artificial Life, AI, and Machine Learning
Editors	Maki K. Habib
Publisher	IGI Global
Chapter	10
Pages	242-268
Number of pages	27
ISBN (Electronic)	9781799886877
ISBN (Print)	9781799886860
DOIs	https://doi.org/10.4018/978-1-7998-8686-0.ch010
Publication status	Published - Feb 2022

Keywords

Bees Algorithm
Intelligent optimisation
Intelligent manufacturing
Assembly
Disassembly
Bioinspiration
Planning

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10.4018/978-1-7998-8686-0.ch010Licence: None: All rights reserved

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abstract = "The Bees Algorithm is a popular intelligent optimisation algorithm inspired by the foraging behaviour of honeybees. This paper describes the application of two combinatorial variants of the Bees Algorithm to the optimisation of manufacturing processes. The first variant was created for minimisation of printed circuit board assembly times, whilst the second was devised for fast replanning of robotic disassembly of mechanical parts. In both cases, the bees-inspired paradigm proved effective in efficiently solving complex engineering optimisation problems.",

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author = "Marco Castellani and Luca Baronti and Yuanjun Laili and Duc Pham",

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Applications of the Bees Algorithm - nature-Inspired optimisation of manufacturing processes. / Castellani, Marco; Baronti, Luca; Laili, Yuanjun et al.
Handbook of Research on New Investigations in Artificial Life, AI, and Machine Learning. ed. / Maki K. Habib. IGI Global, 2022. p. 242-268.

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

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AU - Pham, Duc

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Y1 - 2022/2

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KW - Assembly

KW - Disassembly

KW - Bioinspiration

KW - Planning

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PB - IGI Global

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Applications of the Bees Algorithm - nature-Inspired optimisation of manufacturing processes

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Keywords

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