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resource case (Fig. 6).Moreover, we found that the solutions calculatedwith high ini-
tial resources (Fig. 8) could fully search the solution space, because therewere no so-
lutionswith the remaining resource equal to 0. The figures also suggest that there are
positivecorrelationsbetweenresources,andnegativecorrelationsbetweenresourcesand
satisfactions.
Figure5. RandomSolutions Figure6. Solutionswith lowinitial resources
Figure7. Solutionswithmedium initial resources Figure8. Solutionswithhigh initial resources
Table2. Exampleof solutionswith lowinitial resources
POIandTransportation consumed (re-
maining) time
(sec) consumed (re-
maining)money
(yen) consumed
(remaining)
stamina satisfaction
[0,12,14,10,8,1,26,2,23,27]
6591 (8409) 4040 (3460) 366(634) 1859
[Walk,Bus,Bus,Walk,Bus,Bus,Walk,Bus,Car]
[0,21,10,23,19,27]
11108 (3892) 6600 (900) 580 (420) 926
[Walk,Bus,Walk,Car,Bus]
[0,12,10,27]
13076(1924) 7270 (230) 910 (90) 423
[Walk,Walk,Bus]
Y.Hiranoetal. /AMethod forGeneratingMultipleTourRoutes 187
Intelligent Environments 2019
Workshop Proceedings of the 15th International Conference on Intelligent Environments
- Titel
- Intelligent Environments 2019
- Untertitel
- Workshop Proceedings of the 15th International Conference on Intelligent Environments
- Autoren
- Andrés Muñoz
- Sofia Ouhbi
- Wolfgang Minker
- Loubna Echabbi
- Miguel Navarro-Cía
- Verlag
- IOS Press BV
- Datum
- 2019
- Sprache
- deutsch
- Lizenz
- CC BY-NC 4.0
- ISBN
- 978-1-61499-983-6
- Abmessungen
- 16.0 x 24.0 cm
- Seiten
- 416
- Kategorie
- Tagungsbände