Search Results - (( java implementation path algorithm ) OR ( program optimization strategical 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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Optimal Integration of Active and Reactive Power DGs in Distribution Network via a Novel Multi-Objective Intelligent Technique by Abdullah A., Musirin I., Othman M.M., Rahim S.R.A., Shaaya S.A., Senthil Kumar A.V.

“…This work introduces a novel approach called the Multi-Objective Integrated Immune Moth Flame Evolutionary Programming (MO-IIMFEP) algorithm. This algorithm aims to determine the optimal sizes and positions for Type III distributed generators (DGs) that generate both active and reactive power. …”

Two-stage strategic optimal planning of distributed generators and energy storage systems considering demand response program and network reconfiguration by Ba-swaimi S., Verayiah R., Ramachandaramurthy V.K., ALAhmad A.K., Padmanaban S.

Dam haji game using A* search algorithm / Siti Farah Najwa Mukhlis by Mukhlis, Siti Farah Najwa

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Advances in metaheuristics: Applications in engineering systems by Ganesan, T., Vasant, P., Elamvazuthi, I.

“…It also includes discussions on the potential improvement of algorithmic characteristics via strategic algorithmic enhancements. …”
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Optimized electric power distribution via genetic algorithm based estimation / Otonye Ene Ojuka ... [et al.] by Ojuka, Otonye Ene, Wokoma, Biobele Alexander, Bala, Tekena Kashmony, Kinba, Queen Blue-Jack, Tamunobelema, Asime

“…This research shows an effective way of minimizing power loss in distribution lines using optimal capacitor placement (OCP) in conjunction with a genetic algorithm (GA). …”
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Simultaneous load management strategy for electronic manufacturing facilities by using epso algorithm / M.F. Sulaima … [et al.] by Sulaima, M.F., Dahlan, N.Y., Bohari,, Z.H., Nasir, M.N.M., Mustafa, R.F., Duc, Luong Nguyen

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Simultaneous load management strategy for electronic manufacturing facilities by using EPSO algorithm by Sulaima, Mohamad Fani, Dahlan, Nofri Yenita, Bohari, Zul Hasrizal, Mohd Nasir, Mohamad Na'im, Mustafa, R.F., Nguyen, Duc Luong

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Dynamic linear programming model for quarterly budget allocation and execution / Rossidah Wan Abdul Aziz by Wan Abdul Aziz, Rossidah

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Comparative Analysis in DG Installation Scheme for Resilience Enhancement by Zakaria F.B., Musirin I.B., Aminudin N.B., Johari D.B., Shaaya S.A., Ibrahim N.F.B.

“…In this study, the Evolutionary Programming (EP) and Artificial Immune System (AIS) optimization techniques are used to determine sizing and strategic locations for the placement of multiple DG units for loss control in the power system. …”

An effective strategy for unit commitment of microgrid power systems integrated with renewable energy sources including effects of battery degradation and uncertainties by Manoharan P., Chandrasekaran K., Chandran R., Ravichandran S., Mohammad S., Jangir P.

Subjects:

Double Deep RL-based strategy for UAV-assisted energy harvesting optimization in disaster-resilient IoT networks by Elmadina, Nahla Nur, Saeed, Rashid A, Saeid, Elsadig, Ali, Elmustafa Sayed, Nafea, Ibtehal, Ahmed, Mayada A, Mokhtar, Rania A, Khalifa, Othman Omran

“…We formulate this as a nonlinear programming (NLP) optimization problem, maximizing EH from IoT devices and optimizing UAV trajectories under constraints like mission duration and energy limits. …”
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Long-term optimal planning for renewable based distributed generators and plug-in electric vehicles parking lots toward higher penetration of green energy technology by ALAhmad A.K., Verayiah R., Shareef H., Ramasamy A.

Evolutionary cost-cognizant regression test case prioritization for object-oriented programs by Bello, AbdulKarim

“…Therefore, this study proposed a cost-cognizant TCP approach for object-oriented software that uses path-based integration testing to identify the possible execution path extracted from the Java System Dependence Graph (JSDG) model of the source code using forward slicing technique. …”
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Development of Closed–Loop Supply Chain Network in Terms of Corporate Social Responsibility by Pedram, Ali, Pedram, Payam, Nukman, Yusof, Sorooshian, Shahryar

“…A proposed multi-objective mixed-integer linear programming (MILP) model was solved with non-dominated sorting genetic algorithm II (NSGA-II). …”
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Development of a new approach for deterministic supply chain network design by Bidhandi, Hadi Mohammadi, Mohd. Yusuff, Rosnah, Megat Ahmad, Megat Mohamad Hamdan, Abu Bakar, Mohd Rizam

“…This paper proposes a mixed integer linear programming model and solution algorithm for solving supply chain network design problems in deterministic, multi-commodity, single-period contexts. …”
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Development of closed–loop supply chain network in terms of corporate social responsibility by Pedram, A., Pedram, P., Yusoff, N., Sorooshian, S.

“…A proposed multi-objective mixed-integer linear programming (MILP) model was solved with non-dominated sorting genetic algorithm II (NSGA-II). …”
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