Solving Aircraft-Sequencing Problem Based on Bee Evolutionary Genetic Algorithm and Clustering Method

2009 ◽  
Author(s):  
Siliang Wang
Keyword(s):  
Genetic Algorithm ◽  
Clustering Method ◽  
Sequencing Problem ◽  
Evolutionary Genetic ◽  
Aircraft Sequencing Problem

A Heuristic Approach for Disassembly Sequencing Problem for Robotic Disassembly Operations

2012 ◽  
pp. 438-447
Author(s):  
Ahmed ElSayed ◽  
Elif A. Kongar ◽  
Surendra M. Gupta
Keyword(s):  
Genetic Algorithm ◽  
Value Added ◽  
Recovery Process ◽  
Electronic Products ◽  
Sequencing Problem ◽  
Material Recovery ◽  
Disassembly Sequence ◽  
Robotic Disassembly ◽  
Efficient Recovery ◽  
Disassembly Sequencing

Electronic products enter the waste stream rapidly due to technological enhancements. Their parts and material recovery involve significant economic and environmental gain. To regain the value added to such products a certain level of disassembly may be required. Disassembly operations are often expensive and the complexity of determining the best disassembly sequence increases as the number of parts in a product grows. Therefore, it is necessary to develop methodologies for obtaining optimal or near optimal disassembly sequences to ensure efficient recovery process. To that end, this chapter introduces a Genetic Algorithm based methodology to develop disassembly sequencing for end-of-life products. A numerical example is presented to provide and demonstrate better understating and functionality of the algorithm.

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