Search Results - (( quantity solution using algorithm ) OR ( java implementation path algorithm ))

Heavy Transportation Shortest Route using Dijkstra’s algorithm (HETRO) / Nurul Aqilah Ahmad Nezer by Ahmad Nezer, Nurul Aqilah

“…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 by Mohammad Ata, Karimeh Ibrahim

“…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 by Shaliza Hayati A. Wahab, Nordin Saad, Azali Saudi, Ali Chekima

“…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 by Adam, Mohd Syafiq

“…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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Dynamic economic dispatch in electricity market using particle swarm optimization algorithm / Nurain Masran by Masran, Nurain

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Multiple Objective Optimization of Green Logistics Using Cuckoo Searching Algorithm by Wang, Wei, Liu, Yao

“…Basically, Cuckoo searching algorithm imitates the natural evolution of a population with initial solutions. …”
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Bundle Sorting Mobile Application by Zulkifley, Muhammad Dzofir Hafiz

“…There are many advantages when the apparel industry implemented image processing during sorting the garments product to obtain the accurate quantity in the production line. The worker or user just used the camera that has an image processing algorithm to do the sorting. …”
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Cubature kalman optimizer : A novel metaheuristic algorithm for solving numerical optimization problems by Zulkifli, Musa, Zuwairie, Ibrahim, Mohd Ibrahim, Shapiai, Tsuboi, Yusei

“…In control system, the CKF algorithm is used to estimate the true value of a hidden quantity from an observation signal that contain an uncertainty. …”
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Parametric Optimization of End Milling Process Under Minimum Quantity Lubrication With Nanofluid as Cutting Medium Using Pareto Optimality Approach by Najiha, M. S., M. M., Rahman, K., Kadirgama

“…In this paper a genetic algorithm based multi-objective optimization approach is applied in order to predict the optimal machining parameters for the end milling process of aluminium alloy 6061 T6 combined with minimum quantity lubrication (MQL) conditions using waterbased TiO2 nanofluid as cutting fluid. …”
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Minimizing the total cost of inventory by using artificial bee colony algorithm / Nurul Syakira Mohd Zin by Mohd Zin, Nurul Syakira

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Development of a two-level trade credit model with shortage for deteriorating products using hybrid metaheuristic algorithm by Molamohamadi, Zohreh

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Solving the integrated inventory supply chain problems using meta-heuristic methods / Seyed Mohsen Mousavi by Seyed Mohsen , Mousavi

“…A Modified Particle Swarm Optimization (MPSO) algorithm, a Genetic Algorithm (GA), a modified fruit fly optimization algorithm (MFOA) and a simulated annealing (SA) algorithm were used to find the optimal solution. …”
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Simulation Model and Genetic Algorithm to Assembly Line Balancing by Ali, A. J. Adham, Ahmad Nazif, Noor Kamar, Abdullah, Ibrahim, Sorooshian, Shahryar

“…It can combine with Genetic Algorithm system (GAs) to obtain the optimum solution in any type of issue area. …”
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Biomedical Image Mapping: Issues And Challenges by Nurzi Juana Mohd Zaizi, Albert Burger

Block based low complexity iterative QR precoder structure for Massive MIMO by Mok, Li Suet

“…The number of flops required in the proposed solution is much less than the regular BD algorithm. …”
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Modified ant colony optimization algorithms for deterministic and stochastic inventory routing problems / Lily Wong by Lily , Wong

“…The computational results show that the algorithms which implement this new formulation are able to produce better solutions. …”
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Thermodynamic properties of transverse field quantum Ising model using tensor network formalism / Pang Sin Yang by Pang , Sin Yang

“…Although theoretically, divergence at critical points only happen in an infinite system, one can obtain the critical exponents through simulation of finite-size 1D-tQIM. Using the analytic solution as a benchmark, we compared the finite-size effects of the system using finite-size scaling analysis and MPS methods. …”
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Solving Boundary Value Problems for Ordinary Differential Equations Using Direct Integration and Shooting Techniques by V., Malathi

“…A generalised variable order variable stepsize Direct Integration (01) method, a generalised Backward Differentiation method (BDF) and shooting techniques are used to solve the given BVP. When using simple shooting technique, sometimes stability difficulties arise when the differential operator of the given ODE contains rapidly growing and decaying fundamental solution modes. …”
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An integrated model for production line balancing planning by Ali, A. J. Adham

“…Furthermore,the Simulation Model(SM)is used to solve the PLP problem to achieve the customer order by increasing the quantity of production.The new approach is called Hybrid Model of the Production Line (HMPL) which is a combination of MOM,GA,and SM.This approach is employed to solve the production line problems and to develop the efficiency of the production line.As a result,the Mixed Model(MM)that combines the MOM and GA is developed to solve the PLBP and efficiency of the Production Line System(PLS)in order to reduce the queuing and the idle time to obtain the best balance among the stations.Also the MM is applied to PLS to re-regulate the tasks'number and re-distribute the jobs to the workers among the stations in order to obtain the optimum solution.On the other hand,the SM is applied to solve the planning problem to make new plans then to make several strategies to solve the PLP problem and to achieve the customer orders.The aim of this study is to combine MM and SM to develop the efficiency of the production line and to solve both problems by using the output of MM as an input for SM and vice versa.This is a new method to obtain the best or the optimum balance among the stations and also between the quantity of customers demand and the production quantity.The method increased the ratio of production and reduced the queuing and idle time by minimizing the queuing and idle time and maximizing the productions,as well as balancing the tasks’number and distributing the jobs to the workers evenly.…”
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Token based path allocation approach for mobile robots in sorting centre for achieving high throughput by Khoo, Zong Zheng

“…Thus, it may be hard to apply this proposed solution in the use of real-life. Also, there are papers that proposes algorithms that are able to solve deadlocks and collision among these robots but not able to solve the heavy traffic problem while passing through an intersection grid cell. …”
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