Automated generation of robust error recovery logic in assembly systems using genetic programming
نویسندگان
چکیده
منابع مشابه
Generation of Robust Error Recovery Logic in Assembly Systems Using Multi-level Optimization and Genetic Programming
Automated assembly lines are subject to unexpected failures, which can cause costly shutdowns. Generally, these errors are handled by human experts or logic controllers. However, these controller codes are based on anticipated error scenarios and are deficient in dealing with unforeseen situations. In our previous work (Baydar and Saitou, 2000a), an approach for the automated generation of erro...
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Unexpected failures are one of the most important problems, which cause costly shutdowns in an assembly line. Generally the recovery process is done by the experts or automated error recovery logic controllers embedded in the system. The previous work in the literature is focused on the “on-line” recovery of the assembly lines which makes the process, time and money consuming. Therefore a novel...
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implicit and unobserved errors and vulnerabilities issues usually arise in cryptographic protocols and especially in authentication protocols. this may enable an attacker to make serious damages to the desired system, such as having the access to or changing secret documents, interfering in bank transactions, having access to users’ accounts, or may be having the control all over the syste...
15 صفحه اولOptimisation of assembly scheduling in VCIM systems using genetic algorithm
Assembly plays an important role in any production system as it constitutes a significant portion of the lead time and cost of a product. Virtual computer-integrated manufacturing (VCIM) system is a modern production system being conceptually developed to extend the application of traditional computer-integrated manufacturing (CIM) system to global level. Assembly scheduling in VCIM systems is ...
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In this paper, the advantages and performance of genetic programming in use of error recovery planning in robotic assembly systems is discussed. Existing systems use polynomial time planning techniques or heuristics to produce error recovery plans. However, these systems require translation of the generated plans to working controller codes. An alternative approach could be the use of Genetic P...
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ژورنال
عنوان ژورنال: Journal of Manufacturing Systems
سال: 2001
ISSN: 0278-6125
DOI: 10.1016/s0278-6125(01)80020-0