Search Results - (( developing making problem algorithm ) OR ( java implication based algorithm ))
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A machine learning approach to tourism recommendations system
Published 2025“…The main problem encountered when developing a powerful recommendation system is cold start problem, data sparsity and scalability problems. …”
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Final Year Project / Dissertation / Thesis -
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An Efficient Ranking Analysis In Multi-Criteria Decision Making
Published 2017“…This study is conducted with the aims to develop a new ranking method for multi-criteria decision making problem with conflicting criteria. …”
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Some metaheuristic algorithms for solving multiple cross-functional team selection problems
Published 2022“…The developed method also demonstrated the effectiveness of the multi-criteria decision-making process when compared with the multi-objective evolutionary algorithm (MOEA). …”
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Application of a preference relationship in decision-making based on intuitionistic fuzzy soft sets
Published 2018“…In this paper, an adjustable algorithm is developed to handle the problem of group decision-making based on a preference relationship of IFSSs. …”
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Fuzzy clustering method and evaluation based on multi criteria decision making technique
Published 2018“…Thus in this study we intend to overcome these problems by determining a feature subset and the number of the cluster problems after developing an algorithm which simultaneously solved these issues. …”
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Optimal route checking using genetic algorithm for UiTM's bus services / Tengku Salman Fathi Tengku Jaafar
Published 2006“…By taking the bus services in Universiti Teknologi MARA as sample, the research has used the genetic algorithm approach to solve the problem which is similar to the Travel Salesman Problem. …”
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Hybrid group decision making method based on multi-granular information using fusion algorithms and consistent fuzzy preference relation / Siti Amnah Mohd Ridzuan
Published 2017“…Two new decision making models have been developed in this study, the first is the combination of multi-granular linguistic information using fusion algorithm and consistent fuzzy preference relations (CFPR) and the second one is the combination of multi-granular uncertain linguistic information and consistent linguistic fuzzy preference relations (CLFPR) to cater this problem. …”
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Nature-Inspired Heuristic Frameworks Trends in Solving Multi-objective Engineering Optimization Problems
Published 2025“…Nowadays, nature-inspired artificial intelligent metaheuristic optimization algorithms (MHOAs) have gained many attentions from researchers all over the world due to their capabilities in solving various decision-making problems. …”
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DEVELOPMENT OF INTELLIGENT CONTROLLER FOR TRAFFIC LIGHTS WITH DYNAMIC PHASE ARRANGEMENT FOR SINGLE-ISOLATED INTERSECTIONS
Published 2014“…It has circumvented most of the problems those usually pop up when using image processing, obsolete technologies, or wrong control algorithms. …”
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Thesis -
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Simulation of shortest path using a-star algorithm / Nurul Hani Nortaja
Published 2004“…As for WXES3l82, the thesis cover the development of programming code, the code implementation and testing and the evaluation including discussion about the problem/constraints meed in the coding program development. …”
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Multi-population Genetic Algorithm for Rich Vehicle Routing Problems
Published 2020“…Genetic Algorithm (GA) is the widely adopted meta-heuristic method for solving Rich Vehicle Routing Problem (RVRP) due to its ability to find optimal solution even for medium to large-scale problem in a reasonable time. …”
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Final Year Project -
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Successor selection for Ant Colony Optimization technique algorithm / Muhammad Iskandar Isman
Published 2017“…In the future work, this research will discover more method related to ACO technique to make more optimize and develop a complete system for the organization used.…”
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Thesis -
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Box-jenkins and genetic algorithm hybrid model for electricity forecasting system
Published 2005“…In this thesis, an approach that combines the Box-Jenkins methodology for SARIMA model and Genetic Algorithm (GA) will been introduced as a new approach in making a forecast. …”
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Cuckoo Search Approach for Cutting Stock Problem
Published 2015“…Therefore, many researchers have to turn to metaheuristic algorithms as a solution to the problem which also makes these algorithms become famous. …”
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A GPU accelerated parallel genetic algorithm for the traveling salesman problem
Published 2024“…The problem was classified as NP-Hard. Several different algorithms were developed to solve the problem; among them, the Genetic Algorithm was used to deal with it. …”
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Development of dynamic programming algorithm for maintenance scheduling problem
Published 2020“…Then, from the model developed, a formulation was created based on the problem of the maintenance schedule proposed. …”
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