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Optimization of Manufacturing ProcessesOptimization in Manufacturing Systems Using Evolutionary Techniques

Optimization of Manufacturing Processes: Optimization in Manufacturing Systems Using Evolutionary... [This chapter introduces various types of manufacturing systems and different types of traditional and modern optimization techniques. Chapter briefs about evolutionary techniques such as Particle swarm optimizationParticle swarm optimization and Genetic algorithmGenetic algorithm to optimize the various kind of manufacturing system with an objective to overcome the limitations of traditional optimization techniques and to enhance the optimality of objective function. Besides that, customary methodology is to utilize an ordinary least squares relapse investigation for building up the machinability models. In recent decade, the utilization of evolutionary calculation techniques, or additionally called the Genetic strategies, in light of impersonation of Darwinian characteristic choice has turned out to be across the board. This is because of truth that numerous frameworks are excessively complex, making it impossible to be effectively enhanced by the utilization of traditional deterministic calculations. Despite what might be expected, the evolutionary algorithms (EA) include probabilistic tasks. The current chapter also presents brief details about stepwise procedure of implementation of genetic algorithmGenetic algorithm and particle swarm optimizationParticle swarm optimization to solve various problems associate with manufacturing systems. ] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Optimization of Manufacturing ProcessesOptimization in Manufacturing Systems Using Evolutionary Techniques

Part of the Springer Series in Advanced Manufacturing Book Series
Editors: Gupta, Kapil; Gupta, Munish Kumar
Rai, Ravi Shankar; Bajpai, Vivek
Optimization of Manufacturing Processes — Jun 26, 2019
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28 pages

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Publisher
Springer International Publishing
Copyright
© Springer Nature Switzerland AG 2020
ISBN
978-3-030-19637-0
Pages
201 –229
DOI
10.1007/978-3-030-19638-7_9
Publisher site
See Chapter on Publisher Site

Abstract

[This chapter introduces various types of manufacturing systems and different types of traditional and modern optimization techniques. Chapter briefs about evolutionary techniques such as Particle swarm optimizationParticle swarm optimization and Genetic algorithmGenetic algorithm to optimize the various kind of manufacturing system with an objective to overcome the limitations of traditional optimization techniques and to enhance the optimality of objective function. Besides that, customary methodology is to utilize an ordinary least squares relapse investigation for building up the machinability models. In recent decade, the utilization of evolutionary calculation techniques, or additionally called the Genetic strategies, in light of impersonation of Darwinian characteristic choice has turned out to be across the board. This is because of truth that numerous frameworks are excessively complex, making it impossible to be effectively enhanced by the utilization of traditional deterministic calculations. Despite what might be expected, the evolutionary algorithms (EA) include probabilistic tasks. The current chapter also presents brief details about stepwise procedure of implementation of genetic algorithmGenetic algorithm and particle swarm optimizationParticle swarm optimization to solve various problems associate with manufacturing systems. ]

Published: Jun 26, 2019

Keywords: Evolutionary; Genetic algorithm; Manufacturing; Optimization; Particle swarm

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