Search Results - (( based extraction method algorithm ) OR ( travel information a algorithm ))

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    African Buffalo Optimization and the Randomized Insertion Algorithm for the Asymmetric Travelling Salesman’s Problems by Odili, Julius Beneoluchi, M. N. M., Kahar, Noraziah, Ahmad, Odili, Esther Abiodun

    Published 2016
    “…This paper presents a comparative study of the African Buffalo Optimization algorithm and the Randomized Insertion Algorithm to solving the asymmetric Travelling Salesman’s Problem with the overall objective of determining a better method to solving the asymmetric Travelling Salesman’s Problem instances. …”
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    Article
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    Comparison between ant colony and genetic algorithm using traveling salesman problem by Abduljabbar, Zaid Ammen, Khalefa, Mustafa S., A. Jabar, Marzanah

    Published 2013
    “…The aim of this study is compare the effect of using two distributed algorithm which are ant colony as a Swarm intelligence algorithm and genetic algorithm. …”
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    Article
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    A collaborative filtering recommender system for infrequently purchased product using slope-one algorithm and association rule mining by Zolhani, Nur Azleen

    Published 2015
    “…But, this leads to overflow of unfiltered information. In order to effectively recommending places to travel for tourist, recommendation engine are being developed. …”
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    Thesis
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    Performance Analyses of Nature-inspired Algorithms on the Traveling Salesman’s Problems for Strategic Management by Julius, Beneoluchi Odili, M. N. M., Kahar, Noraziah, Ahmad, M., Zarina, Riaz, Ul Haq

    Published 2017
    “…This paper carries out a performance analysis of major Nature-inspired Algorithms in solving the benchmark symmetric and asymmetric Traveling Salesman’s Problems (TSP). …”
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    Article
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    A Comparative Study of African Buffalo Optimization and Randomized Insertion Algorithm for Asymmetric Travelling Salesman's Problem by Odili, Julius Beneoluchi, M. N. M., Kahar, Shahid, Anwar, Azrag, M. A. K.

    Published 2015
    “…The choice of the Random Insertion Algorithm as a comparative algorithm was informed by the fact that it has the best results in literature. …”
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    Conference or Workshop Item
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    Ant colony system with heuristic function for the travelling salesman problem by Alobaedy, Mustafa Muwafak, Ku-Mahamud, Ku Ruhana

    Published 2013
    “…Ant colony system which is classified as a meta-heuristic algorithm is considered as one of the best optimization algorithm for solving different type of NP-Hard problem including the travelling salesman problem.A heuristic function in the Ant colony system uses pheromone and distance values to produce heuristic values in solving the travelling salesman problem.However, the heuristic values are not updated in the entire process to reflect the knowledge discovered by ants while moving from city to city. …”
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    Article
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    Rapid Penang travel planner mobile application using GPS positioning and decision-making algorithm / Naslyiana Abdul Latif by Abdul Latif, Naslyiana

    Published 2015
    “…Thus, this project will describe about Rapid Penang travel planner that implement in mobile application to make user easy get information regarding Rapid Penang services. …”
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    Thesis
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    A block-based multi-scale background extraction algorithm by Davarpanah, Seyed Hashem, Khalid, Fatimah, Golchin, Maryam

    Published 2010
    “…Approach: In this study, to extract an adaptive background, a combination of blocking and multi-scale methods is presented. …”
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    Article
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    New heuristic function in ant colony system for the travelling salesman problem by Alobaedy, Mustafa Muwafak, Ku-Mahamud, Ku Ruhana

    Published 2012
    “…However, one part of the algorithm, called heuristic function, is not updated at any time throughout the process to reflect the new information discovered by the ants.This paper proposes an Enhanced Ant Colony System algorithm for solving the Travelling Salesman Problem.The enhanced algorithm is able to generate shorter tours within reasonable times by using accumulated values from pheromones and heuristics.The proposed enhanced ACS algorithm integrates a new heuristic function that can reflect the new information discovered by the ants. …”
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    Conference or Workshop Item
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    A Novel Path Prediction Strategy for Tracking Intelligent Travelers by Motlagh, Omid Reza Esmaeili

    Published 2009
    “…The FCM nodes are a novel selection of kinematical factors. Genetic algorithm (GA) is then used to train the FCM to be able to replicate the decisional behaviors of the intelligent traveler. …”
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    Thesis
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    Analysis of Travellers’ Online Reviews in Social Networking Sites Using Fuzzy Logic Approach by Nilashi, Mehrbakhsh, Yadegaridehkordi, Elaheh, Ibrahim, Othman, Samad, Sarminah, Ahani, Ali, Sanzogni, Louis

    Published 2019
    “…TripAdvisor, a popular travel review site and social media platform, is mainly developed as a free business consultation service to help the travellers to make right decisions in their trips. …”
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    Article
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    Applying genetic algorithm for solving travelling salesman problem in Skynet Courier Service / Nah Izzattie Itqan Ahmad Nah Rodzi by Ahmad Nah Rodzi, Nah Izzattie Itqan

    Published 2020
    “…This problem is also known as the Travelling Salesman Problem (TSP). TSP can be solved by applying a Genetic Algorithm (GA). …”
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    Thesis
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    Application of Genetic Algorithm in solving Tourist Routing Problem by Yusof, Siti Sarah

    Published 2013
    “…This can also be known as Tourist Routing Problem (TRP). TRP is a variance of Travelling Salesman Problem (TSP) which can defined by finding the optimal path to travel from point A to point B by going through the same place not more than twice at a shortest distance. …”
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    Final Year Project
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    The Anglerfish algorithm: a derivation of randomized incremental construction technique for solving the traveling salesman problem by Pook, Mei Foong, Ramlan, Effirul Ikhwan

    Published 2019
    “…Combinatorial optimization focuses on arriving at a globally optimal solution given constraints, incomplete information and limited computational resources. …”
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    Article
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    TRIP PLANNER MOBILE APPLICATION FOR SARAWAK TOURIST WITH USING INTELLIGENT AGENT BASED DECISION MAKING ALGORITHMS by Teh, Khee Shin

    Published 2020
    “…The internet becomes the main source of information for user to plan the trip. The travel information in multiform for independent tourists is suf icient, but the suf icient information is not enough for making a successful itinerary planning. …”
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    Final Year Project Report / IMRAD