Optimizing Fuzzy Petri Nets by Using an Improved Ant Colony Algorithm

Li, Yang; Xiao-bo, Yue

doi:10.12928/telkomnika.v14i2a.4343

TELKOMNIKA

2016

DOI: 10.12928/telkomnika.v14i2a.4343

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Optimizing Fuzzy Petri Nets by Using an Improved Ant Colony Algorithm

Yang Li¹,

Yue Xiao-bo

Abstract: It is very important for constructing a FPN (fuzzy petri net

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2018

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Generating Travel Itinerary Using Ant Collony Optimization

et al. 2018

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Travelling is one of the activities needed b y everyone to overcome weariness. The numb er of information ab out the tourism destination on the internet sometimes does not provide easiness for oncoming tourists. This paper proposes a system capab le of making travel itinerary, for tourists who want to visit an area within a few days. For generating itinerary, the system considers several criterias (Multicriteria-b ased), which include the popularity level of tourist attractions to visit, tourist visits that minimize b udgets or tourist visits with as many destinations as possib le. To handle multi criteria -b ased itinerary, we use the concept of multi attrib ute utility theory (MAUT). The running time of multi criteria -b ased itinerary is not significantly different from time-b ased itinerary. In addition, the numb er of tourist attractions in the itinerary is more than time-b ased itinerary, b ecause the comb ination of solutions from each ant b ecomes more diverse.

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Generating Travel Itinerary Using Ant Collony Optimization

et al. 2018

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Optimizing Fuzzy Petri Nets by Using an Improved Ant Colony Algorithm

Abstract: It is very important for constructing a FPN (fuzzy petri net

Cited by 1 publication

References 10 publications

Generating Travel Itinerary Using Ant Collony Optimization

Generating Travel Itinerary Using Ant Collony Optimization

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