Matches in SemOpenAlex for { <https://semopenalex.org/work/W621924018> ?p ?o ?g. }
Showing items 1 to 65 of
65
with 100 items per page.
- W621924018 abstract "In this paper the capabilities of two global search techniques to solve the Traveling Salesman Problem (TSP) are investigated. A modified genetic algorithm (GA) and simulated annealing neural network algorithm (NN) for the TSP are proposed. For the GA, a new type of crossover operator which is the combination of the nearest point insertion heuristic and order crossover is incorporated into the solution procedure. A mathematical procedure is developed to adjust the coefficient of the energy function in the proposed NN algorithm to improve its solution quality. The performance of these two algorithms is compared with those from traditional TSP heuristics." @default.
- W621924018 created "2016-06-24" @default.
- W621924018 creator A5041975831 @default.
- W621924018 date "1997-01-01" @default.
- W621924018 modified "2023-09-25" @default.
- W621924018 title "THE APPLICATIONS OF GENETIC ALGORITHMS AND NEURAL NETWORKS ON THE TRAVELING SALESMAN PROBLEM" @default.
- W621924018 hasPublicationYear "1997" @default.
- W621924018 type Work @default.
- W621924018 sameAs 621924018 @default.
- W621924018 citedByCount "0" @default.
- W621924018 crossrefType "journal-article" @default.
- W621924018 hasAuthorship W621924018A5041975831 @default.
- W621924018 hasConcept C106472803 @default.
- W621924018 hasConcept C11413529 @default.
- W621924018 hasConcept C122507166 @default.
- W621924018 hasConcept C126255220 @default.
- W621924018 hasConcept C126980161 @default.
- W621924018 hasConcept C127705205 @default.
- W621924018 hasConcept C154945302 @default.
- W621924018 hasConcept C173801870 @default.
- W621924018 hasConcept C175859090 @default.
- W621924018 hasConcept C33923547 @default.
- W621924018 hasConcept C41008148 @default.
- W621924018 hasConcept C50644808 @default.
- W621924018 hasConcept C8880873 @default.
- W621924018 hasConceptScore W621924018C106472803 @default.
- W621924018 hasConceptScore W621924018C11413529 @default.
- W621924018 hasConceptScore W621924018C122507166 @default.
- W621924018 hasConceptScore W621924018C126255220 @default.
- W621924018 hasConceptScore W621924018C126980161 @default.
- W621924018 hasConceptScore W621924018C127705205 @default.
- W621924018 hasConceptScore W621924018C154945302 @default.
- W621924018 hasConceptScore W621924018C173801870 @default.
- W621924018 hasConceptScore W621924018C175859090 @default.
- W621924018 hasConceptScore W621924018C33923547 @default.
- W621924018 hasConceptScore W621924018C41008148 @default.
- W621924018 hasConceptScore W621924018C50644808 @default.
- W621924018 hasConceptScore W621924018C8880873 @default.
- W621924018 hasLocation W6219240181 @default.
- W621924018 hasOpenAccess W621924018 @default.
- W621924018 hasPrimaryLocation W6219240181 @default.
- W621924018 hasRelatedWork W1511117092 @default.
- W621924018 hasRelatedWork W1538053039 @default.
- W621924018 hasRelatedWork W192091370 @default.
- W621924018 hasRelatedWork W1997264235 @default.
- W621924018 hasRelatedWork W2017331376 @default.
- W621924018 hasRelatedWork W2066302998 @default.
- W621924018 hasRelatedWork W2078857923 @default.
- W621924018 hasRelatedWork W2107672659 @default.
- W621924018 hasRelatedWork W2240711723 @default.
- W621924018 hasRelatedWork W2326684039 @default.
- W621924018 hasRelatedWork W2363776630 @default.
- W621924018 hasRelatedWork W2368866657 @default.
- W621924018 hasRelatedWork W2384645180 @default.
- W621924018 hasRelatedWork W2547613595 @default.
- W621924018 hasRelatedWork W3006565512 @default.
- W621924018 hasRelatedWork W3021079948 @default.
- W621924018 hasRelatedWork W3104258108 @default.
- W621924018 hasRelatedWork W3154374474 @default.
- W621924018 hasRelatedWork W3170123328 @default.
- W621924018 hasRelatedWork W3206167478 @default.
- W621924018 isParatext "false" @default.
- W621924018 isRetracted "false" @default.
- W621924018 magId "621924018" @default.
- W621924018 workType "article" @default.