Search Results - (( develop soft solution algorithm ) OR ( java implementation path algorithm ))
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Heavy Transportation Shortest Route using Dijkstra’s algorithm (HETRO) / Nurul Aqilah Ahmad Nezer
Published 2017“…The development tools used in developing this project is NetBeans by using Java for the implementation of the coding. The methodology that used for developing this system is the Dijkstra’s algorithm. …”
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Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization
Published 2019“…BST inserts the nodes in the way that the Dijkstra’s can find the empty parking in fastest way. Dijkstra’s algorithm initials the paths to finding the shortest path while ACO optimizes the paths. …”
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Path planning for unmanned aerial vehicle (UAV) using rotated accelerated method in static outdoor environment
Published 2021“…In this study, a fast iterative method known as Rotated Successive Over-Relaxation (RSOR) is introduced. The algorithm is implemented in a self-developed 2D Java tool, UAV Planner. …”
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Smart appointment organizer for mobile application / Mohd Syafiq Adam
Published 2009“…The main component of this prototype is the use of Dijkstra algorithm to compute the shortest path from source of appointment to the 6 points of destinations within UiTM Shah Alam. …”
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Object Recognition Using Soft Sensors
Published 2021“…Through AI-based object recognition and its high accuracy, this glove provides a promising solution for a low-cost soft sensor solution for the area of soft robotics.…”
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Final Year Project / Dissertation / Thesis -
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An enhanced soft set data reduction using decision partition order technique
Published 2017“…In terms of accuracy, the proposed SSR-BPSO-BBO algorithm outperforms other optimization algorithms by up to 100% in achieving high accuracy percentage of a given soft dataset. …”
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Solving ump examination timetabling problem using dynamic exploration step counting hill climbing algorithm
Published 2022“…The work starts by developing a formal mathematical model based on the new constraints and generates a feasible initial solution of the examination timetable that satisfies the hard and soft constraints (as much as possible). …”
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Fuzzy Soft Set Clustering for Categorical Data
Published 2024“…Numerous categorical data using clustering algorithms, for instance, fuzzy k-modes and their enhancements, have been developed to overcome this issue. …”
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Soft computing approach for solving elevator scheduling problem
Published 2010“…In order to manipulate the scheduling problem solution, designed and developed simulation software for the optimization of elevator scheduling problem is introduced and presented by using soft computing methodology.…”
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Final Year Project Report / IMRAD -
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FTMSK invigilation timetabling system (FITS) / Abdul Halim Mat Noh
Published 2005“…This combines with the satisfaction constraints of hard and soft constraints to get to the optimal solutions. …”
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A Hybrid ant colony optimization algorithm for solving a highly constrained nurse rostering problem
Published 2019“…Specifically, three main phases were involved in developing the hybrid model, which are generating an initial roster, updating the roster through the ACO algorithm, and implementing the hill climbing to further search for a refined solution. …”
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Modeling flood occurences using soft computing technique in southern strip of Caspian Sea Watershed
Published 2012“…This thesis aims to apply soft computing techniques including fuzzy logic, neural network and genetic algorithm on different aspects of flood modeling including hydrological homogeneity and flood prediction in southern Caspian Sea Watersheds. …”
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Job shop rescheduling using a hybridization of genetic algorithm and artificial immune systems
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Conference or Workshop Item -
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Examination timetabling using harmony search algorithm
Published 2015“…In this project, the Harmony Search Algorithm (HSA) has been applied to develop the examination timetable for Kolej Profesional MARA. …”
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Solving an application of university course timetabling problem by using genetic algorithm
Published 2022“…Many efforts have been made using various computational heuristic methods to acquire the best solutions. Among the approaches, genetic algorithm (GA), constructed based on Darwin's theory of evolution, becomes the renowned approach to solve various types of timetabling problems. …”
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