Layout Optimization for Cyber-Physical Material Flow Systems Using a Genetic Algorithm

2019 ◽  
pp. 27-39
Author(s):  
Nikita Shchekutin ◽  
Ludger Overmeyer ◽  
Vyacheslav P. Shkodyrev
Keyword(s):  
Genetic Algorithm ◽  
Material Flow ◽  
Layout Optimization ◽  
Flow Systems

scholarly journals Increasing flexibility of modular automated material flow systems: A meta model architecture

2016 ◽  
Vol 49 (12) ◽  
pp. 1543-1548 ◽  
Author(s):  
Thomas Aicher ◽  
Daniel Regulin ◽  
Daniel Schütz ◽  
Christian Lieberoth-Leden ◽  
Markus Spindler ◽  
...  
Keyword(s):  
Material Flow ◽  
Meta Model ◽  
Flow Systems

scholarly journals An Evolutionary Multiagent Framework for Multiobjective Optimization

2020 ◽  
Vol 2020 ◽  
pp. 1-18
Author(s):  
Zihui Zhang ◽  
Qiaomei Han ◽  
Yanqiang Li ◽  
Yong Wang ◽  
Yanjun Shi
Keyword(s):  
Genetic Algorithm ◽  
Multiobjective Optimization ◽  
Evolutionary Algorithm ◽  
Layout Optimization ◽  
Layout Problem ◽  
System Decomposition ◽  
System Memory ◽  
Satellite Equipment ◽  
Complete Solutions ◽  
Evolutionary Mode

This article proposes an evolutionary multiagent framework of the co-operative co-evolutionary multiobjective model (CCMO-EMAS), specifically for equipment layout optimization in engineering. In this framework, each agent is set in a multiobjective cooperative co-evolutionary mode along with the algorithms and corresponding settings. In each iteration, agents are executed in turn, and each agent optimizes a subpopulation from system decomposition. Additionally, the collaboration mechanism is addressed to build complete solutions and evaluate individuals in the co-operative co-evolutionary algorithm. Each subpopulation is optimized once, and the corresponding agent is evaluated based on the improvement of the system memory. Moreover, the agent team is also evolved through an elite genetic algorithm. Finally, the proposed CCMO-EMAS framework is verified in a multimodule satellite equipment layout problem.

scholarly journals Control strategies for small-scaled conveyor modules enabling highly flexible material flow systems

Procedia CIRP ◽  
2019 ◽  
Vol 79 ◽  
pp. 433-438 ◽  
Author(s):  
Claudio Uriarte ◽  
Abish Asphandiar ◽  
Hendrik Thamer ◽  
Ariandy Benggolo ◽  
Michael Freitag
Keyword(s):  
Material Flow ◽  
Control Strategies ◽  
Flexible Material ◽  
Flow Systems
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