Assembly and Disassembly Planning by using Fuzzy Logic & Genetic Algorithms

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dc.creatorGalantucci, L. M.
dc.creatorPercoco, G.
dc.creatorSpina, R.
dc.date2004-12-11
dc.date.accessioned2026-07-07T03:22:12Z
dc.date.available2026-07-07T03:22:12Z
dc.descriptionThe authors propose the implementation of hybrid Fuzzy Logic-Genetic Algorithm (FL-GA) methodology to plan the automatic assembly and disassembly sequence of products. The GA-Fuzzy Logic approach is implemented onto two levels. The first level of hybridization consists of the development of a Fuzzy controller for the parameters of an assembly or disassembly planner based on GAs. This controller acts on mutation probability and crossover rate in order to adapt their values dynamically while the algorithm runs. The second level consists of the identification of theoptimal assembly or disassembly sequence by a Fuzzy function, in order to obtain a closer control of the technological knowledge of the assembly/disassembly process. Two case studies were analyzed in order to test the efficiency of the Fuzzy-GA methodologies.
dc.identifierhttps://arxiv.org/abs/cs/0412054
dc.identifierhttp://arxiv.org/abs/cs/0412054
dc.identifierInternational Journal of Advanced Robotic Systems, Volume 1, Number 2, June 2004, pp.67-74
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/32505
dc.subjectRobotics
dc.titleAssembly and Disassembly Planning by using Fuzzy Logic & Genetic Algorithms
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