Matches in SemOpenAlex for { <https://semopenalex.org/work/W2090546238> ?p ?o ?g. }
Showing items 1 to 93 of
93
with 100 items per page.
- W2090546238 endingPage "130" @default.
- W2090546238 startingPage "122" @default.
- W2090546238 abstract "If a mobile mechanic has to travel for material, productive time is lost. This paper presents a novel method to reduce activities regarding material handling with extending of serving locations. The design of the supply system can be considered as a complex combinatorial optimization problem, where the goal is to find a route plan with minimal route cost, which services all the demands from the central warehouses while satisfying the capacity and other constraints. We present a multi-chromosome technique for solving the multiple Traveling Salesman Problem (mTSP). The new operators based on a problem-specific representation proved to be more effective in terms of flexibility, complexity and transparency, and also in efficiency than the previous methods. The proposed optimization algorithm was implemented in MATLAB and integrated with Google Maps to provide a complete framework for distance calculation, definition of the initial routes, and visualization. This integrated framework was successfully applied in the solution of a real logistic problem, in the supply of mobile mechanics at one of Hungary׳s biggest energy providers." @default.
- W2090546238 created "2016-06-24" @default.
- W2090546238 creator A5063684561 @default.
- W2090546238 creator A5086723133 @default.
- W2090546238 date "2015-02-01" @default.
- W2090546238 modified "2023-10-01" @default.
- W2090546238 title "Redesign of the supply of mobile mechanics based on a novel genetic optimization algorithm using Google Maps API" @default.
- W2090546238 cites W1535700698 @default.
- W2090546238 cites W184668183 @default.
- W2090546238 cites W1971123384 @default.
- W2090546238 cites W1972075556 @default.
- W2090546238 cites W1996182128 @default.
- W2090546238 cites W1997193586 @default.
- W2090546238 cites W2002730737 @default.
- W2090546238 cites W2009479202 @default.
- W2090546238 cites W2036573713 @default.
- W2090546238 cites W2037932849 @default.
- W2090546238 cites W2050819731 @default.
- W2090546238 cites W2069024107 @default.
- W2090546238 cites W2098638888 @default.
- W2090546238 cites W2131354856 @default.
- W2090546238 cites W2160320854 @default.
- W2090546238 cites W2163428398 @default.
- W2090546238 cites W2164866963 @default.
- W2090546238 cites W2166170567 @default.
- W2090546238 doi "https://doi.org/10.1016/j.engappai.2014.10.015" @default.
- W2090546238 hasPublicationYear "2015" @default.
- W2090546238 type Work @default.
- W2090546238 sameAs 2090546238 @default.
- W2090546238 citedByCount "34" @default.
- W2090546238 countsByYear W20905462382015 @default.
- W2090546238 countsByYear W20905462382016 @default.
- W2090546238 countsByYear W20905462382017 @default.
- W2090546238 countsByYear W20905462382018 @default.
- W2090546238 countsByYear W20905462382019 @default.
- W2090546238 countsByYear W20905462382020 @default.
- W2090546238 countsByYear W20905462382021 @default.
- W2090546238 countsByYear W20905462382022 @default.
- W2090546238 countsByYear W20905462382023 @default.
- W2090546238 crossrefType "journal-article" @default.
- W2090546238 hasAuthorship W2090546238A5063684561 @default.
- W2090546238 hasAuthorship W2090546238A5086723133 @default.
- W2090546238 hasConcept C105795698 @default.
- W2090546238 hasConcept C111919701 @default.
- W2090546238 hasConcept C11413529 @default.
- W2090546238 hasConcept C119857082 @default.
- W2090546238 hasConcept C124101348 @default.
- W2090546238 hasConcept C126255220 @default.
- W2090546238 hasConcept C175859090 @default.
- W2090546238 hasConcept C2780233690 @default.
- W2090546238 hasConcept C2780365114 @default.
- W2090546238 hasConcept C2780598303 @default.
- W2090546238 hasConcept C33923547 @default.
- W2090546238 hasConcept C36464697 @default.
- W2090546238 hasConcept C38652104 @default.
- W2090546238 hasConcept C41008148 @default.
- W2090546238 hasConcept C8880873 @default.
- W2090546238 hasConceptScore W2090546238C105795698 @default.
- W2090546238 hasConceptScore W2090546238C111919701 @default.
- W2090546238 hasConceptScore W2090546238C11413529 @default.
- W2090546238 hasConceptScore W2090546238C119857082 @default.
- W2090546238 hasConceptScore W2090546238C124101348 @default.
- W2090546238 hasConceptScore W2090546238C126255220 @default.
- W2090546238 hasConceptScore W2090546238C175859090 @default.
- W2090546238 hasConceptScore W2090546238C2780233690 @default.
- W2090546238 hasConceptScore W2090546238C2780365114 @default.
- W2090546238 hasConceptScore W2090546238C2780598303 @default.
- W2090546238 hasConceptScore W2090546238C33923547 @default.
- W2090546238 hasConceptScore W2090546238C36464697 @default.
- W2090546238 hasConceptScore W2090546238C38652104 @default.
- W2090546238 hasConceptScore W2090546238C41008148 @default.
- W2090546238 hasConceptScore W2090546238C8880873 @default.
- W2090546238 hasFunder F4320320300 @default.
- W2090546238 hasLocation W20905462381 @default.
- W2090546238 hasOpenAccess W2090546238 @default.
- W2090546238 hasPrimaryLocation W20905462381 @default.
- W2090546238 hasRelatedWork W2126939445 @default.
- W2090546238 hasRelatedWork W2149877711 @default.
- W2090546238 hasRelatedWork W2356976268 @default.
- W2090546238 hasRelatedWork W2380898791 @default.
- W2090546238 hasRelatedWork W2388123166 @default.
- W2090546238 hasRelatedWork W2390290104 @default.
- W2090546238 hasRelatedWork W2889011143 @default.
- W2090546238 hasRelatedWork W2912757722 @default.
- W2090546238 hasRelatedWork W50248001 @default.
- W2090546238 hasRelatedWork W943592507 @default.
- W2090546238 hasVolume "38" @default.
- W2090546238 isParatext "false" @default.
- W2090546238 isRetracted "false" @default.
- W2090546238 magId "2090546238" @default.
- W2090546238 workType "article" @default.