Matches in SemOpenAlex for { <https://semopenalex.org/work/W2373417474> ?p ?o ?g. }
Showing items 1 to 83 of
83
with 100 items per page.
- W2373417474 abstract "The component placement process of multi-head gantry mount machine was analyzed. The optimization problem of placement process was decomposed to three sub-problem of component grouping,component group picking and placing. The component arrangement in slots was a critical factor in solving the optimization problem of placement process of the multi-head gantry mount machine. Based on the analysis of practical engineering application,with the minimum move distance of arm as an objective,an optimization model of the component placement process of multi-head gantry mount machine was formulated. Combined with heuristic method and Genetic Algorithm( GA) method,the hybrid GA( HGA) was adopted to optimize the placement process. A two-dimensional real number coding method was proposed in the HGA. In the individual chromosome,the feeder number and slot number were used to describe the arrangement sequence and position of component types. By aiming at the proposed coding method,the improved order crossover and adaptive mutation were used,and a parallel structure was contained in the HGA. By integrating local search strategy,the component placement sequence and the feeder arrangement are optimized simultaneously. Through calculation examples and results comparison,it shows that this method can achieve optimization of the component placement process of multi-head gantry mount machine and improve the assembly efficiency." @default.
- W2373417474 created "2016-06-24" @default.
- W2373417474 creator A5006993375 @default.
- W2373417474 date "2014-01-01" @default.
- W2373417474 modified "2023-09-26" @default.
- W2373417474 title "Component Placement Process Optimization Study for Multi-head Gantry Mount Machine Based on Hybrid Genetic Algorithm" @default.
- W2373417474 hasPublicationYear "2014" @default.
- W2373417474 type Work @default.
- W2373417474 sameAs 2373417474 @default.
- W2373417474 citedByCount "0" @default.
- W2373417474 crossrefType "journal-article" @default.
- W2373417474 hasAuthorship W2373417474A5006993375 @default.
- W2373417474 hasConcept C105795698 @default.
- W2373417474 hasConcept C111919701 @default.
- W2373417474 hasConcept C11413529 @default.
- W2373417474 hasConcept C114793014 @default.
- W2373417474 hasConcept C121332964 @default.
- W2373417474 hasConcept C122507166 @default.
- W2373417474 hasConcept C126255220 @default.
- W2373417474 hasConcept C127313418 @default.
- W2373417474 hasConcept C127413603 @default.
- W2373417474 hasConcept C154945302 @default.
- W2373417474 hasConcept C168167062 @default.
- W2373417474 hasConcept C173801870 @default.
- W2373417474 hasConcept C179518139 @default.
- W2373417474 hasConcept C2778091609 @default.
- W2373417474 hasConcept C2780312720 @default.
- W2373417474 hasConcept C2781008628 @default.
- W2373417474 hasConcept C33923547 @default.
- W2373417474 hasConcept C41008148 @default.
- W2373417474 hasConcept C66938386 @default.
- W2373417474 hasConcept C8880873 @default.
- W2373417474 hasConcept C97355855 @default.
- W2373417474 hasConcept C98045186 @default.
- W2373417474 hasConceptScore W2373417474C105795698 @default.
- W2373417474 hasConceptScore W2373417474C111919701 @default.
- W2373417474 hasConceptScore W2373417474C11413529 @default.
- W2373417474 hasConceptScore W2373417474C114793014 @default.
- W2373417474 hasConceptScore W2373417474C121332964 @default.
- W2373417474 hasConceptScore W2373417474C122507166 @default.
- W2373417474 hasConceptScore W2373417474C126255220 @default.
- W2373417474 hasConceptScore W2373417474C127313418 @default.
- W2373417474 hasConceptScore W2373417474C127413603 @default.
- W2373417474 hasConceptScore W2373417474C154945302 @default.
- W2373417474 hasConceptScore W2373417474C168167062 @default.
- W2373417474 hasConceptScore W2373417474C173801870 @default.
- W2373417474 hasConceptScore W2373417474C179518139 @default.
- W2373417474 hasConceptScore W2373417474C2778091609 @default.
- W2373417474 hasConceptScore W2373417474C2780312720 @default.
- W2373417474 hasConceptScore W2373417474C2781008628 @default.
- W2373417474 hasConceptScore W2373417474C33923547 @default.
- W2373417474 hasConceptScore W2373417474C41008148 @default.
- W2373417474 hasConceptScore W2373417474C66938386 @default.
- W2373417474 hasConceptScore W2373417474C8880873 @default.
- W2373417474 hasConceptScore W2373417474C97355855 @default.
- W2373417474 hasConceptScore W2373417474C98045186 @default.
- W2373417474 hasLocation W23734174741 @default.
- W2373417474 hasOpenAccess W2373417474 @default.
- W2373417474 hasPrimaryLocation W23734174741 @default.
- W2373417474 hasRelatedWork W1983914872 @default.
- W2373417474 hasRelatedWork W2013861043 @default.
- W2373417474 hasRelatedWork W2050270210 @default.
- W2373417474 hasRelatedWork W2060179303 @default.
- W2373417474 hasRelatedWork W2086703206 @default.
- W2373417474 hasRelatedWork W2186394163 @default.
- W2373417474 hasRelatedWork W2296846360 @default.
- W2373417474 hasRelatedWork W2348984686 @default.
- W2373417474 hasRelatedWork W2351512598 @default.
- W2373417474 hasRelatedWork W2366017346 @default.
- W2373417474 hasRelatedWork W2368866569 @default.
- W2373417474 hasRelatedWork W2371626260 @default.
- W2373417474 hasRelatedWork W2377098215 @default.
- W2373417474 hasRelatedWork W2379186999 @default.
- W2373417474 hasRelatedWork W2381474975 @default.
- W2373417474 hasRelatedWork W2393111826 @default.
- W2373417474 hasRelatedWork W2543147677 @default.
- W2373417474 hasRelatedWork W3195185068 @default.
- W2373417474 hasRelatedWork W2925409015 @default.
- W2373417474 hasRelatedWork W2967994208 @default.
- W2373417474 isParatext "false" @default.
- W2373417474 isRetracted "false" @default.
- W2373417474 magId "2373417474" @default.
- W2373417474 workType "article" @default.