文档介绍：i, L. M.; Percoco, G. & Spina, R. / Assembly and Disassembly by using Fuzzy Logic & ic Algorithms, pp.
67 - 74, International Journal of Advanced Robotic Systems, Volume 1 Number 2 (2004), ISSN 1729-8806
Assembly and Disassembly Planning by using
Fuzzy Logic & ic Algorithms
L . M. i; G. Percoco & R. Spina
Dipartimento di Ingegneria anica e Gestionale (DIMeG)
ico di Bari, Viale Japigia, 182
70126 Bari, Italy
Abstract: The authors propose the implementation of hybrid Fuzzy Logic-ic 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 the
optimal 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.
Keywords: ic Algorithms, Fuzzy Logic, Assembly planning, Disassembly planning
1. Introduction
(Boothroyd G.,