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A generalized laser simulator algorithm for optimal path planning in constraints environment by Aisha, Muhammad

“…Moreover, the proposed algorithm result are compared to some common algorithms such as the A* algorithm, Probabilistic Road Map, RRT, Bi-directional RRT, and Laser Simulator algorithm to demonstrate its effectiveness. …”
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Formulation of Mandatory Task Algorithm Using Task Prioritization Technique by Hong S.G.K., Ahmad A., Chong A.T.Y.

Dynamic path planning algorithm in mobile robot navigation by Yun, S.C., Parasuraman, S., Ganapathy, V.

“…In this research, Genetic Algorithm (GA) is used to assist mobile robot to move, identify the obstacles in the environment, learn the environment and reach the desired goal in an unknown and unrecognized environment. …”
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Cognitive map approach for mobility path optimization using multiple objectives genetic algorithm by Krishnan P.S., Paw J.K.S., Kiong T.S.

Implementation of Graph Based Path Planning Algorithms on a Mobile Robot in a Confined Site by TANG, HON PANN

“…This project investigates the performance of three different graph based path planning algorithms used, relaxed A*, A* and Dijkstra’s algorithm in a few environments with different obstacles settings using Gazebo environment simulator and Turtlebot simulator (computer simulation) and 4WD navigation robot (real environment simulation).…”
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Comparison Between Genetic Algorithm and Electromagnetism-Like Algorithm for Solving Inverse Kinematics by Yap, David F. W.

“…Self developed software simulator is used to display some of these solutions at each goal position.…”
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Novel algorithm for mobile robot path planning in constrained environment by Muhammad, Aisha, Ali, Mohammed A. H., Turaev, Sherzod, Shanono, Ibrahim Haruna, Hujainah, Fadhl, Mohd Zubir, Mohd Nashrul, Faiz, Muhammad Khairi, Mohd Faizal, Erma Rahayu, Abdulghafor, Rawad Abdulkhaleq Abdulmolla

“…The study shows that the proposed method is able to generate shortest path and best smooth trajectory from start to goal points in comparison with laser simulator.…”
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Simulation of shortest path using a-star algorithm / Nurul Hani Nortaja by Nurul Hani , Nortaja

“…The steps to calculate a shortest path using A • algorithm is shown by using appropriate examples and related figures. …”
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Novel algorithm for mobile robot path planning in constrained environment by Aisha, Muhammad, Ali, Mohammed A. H., Turaev, Sherzod, Shanono, Ibrahim Haruna, Hujainah, Fadhl, Mohd Nashrul, Mohd Zubir, Muhammad Khairi Faiz, ., Erma Rahayu, Mohd Faizal, Abdulghafor, Rawad

“…The study shows that the proposed method is able to generate shortest path and best smooth trajectory from start to goal points in comparison with laser simulator.…”
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Novel algorithm for mobile robot path planning in constrained environment by Muhammad, Aisha, Ali, Mohammed A. H., Turaev, Sherzod, Shanono, Ibrahim Haruna, Hujainah, Fadhl, Mohd Nashrul, Mohd Zubir, Muhammad Khairi, Faiz, Erma Rahayu, Mohd Faizal, Abdulghafor, Rawad

“…The study shows that the proposed method is able to generate shortest path and best smooth trajectory from start to goal points in comparison with laser simulator.…”
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Implementation of laser simulator in robot path determination by Zenas, Chung Han Yuan

“…In addition, one of the classical path planning approach which is A* algorithm will be used to compare the result generated by laser simulator. …”
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Optimization of Maximum Power Point Tracking (MPPT) of Photovoltaic System using Artificial Intelligence (AI) Algorithms by Raal Mandour, Raal

“…In this paper, starting from the set of equations modeling a PV module, an innovative procedure to optimize the performance and efficiency of the MPPT algorithms is presented, simulated and verified. Artificial intelligence algorithms, specifically PSO and PSO combined with Incremental conductance algorithm, are used to achieve the stated goals. …”
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Global Mobile Robot Path Planning using Laser Simulator by Ali, Mohammed A. H., Wan Azhar, Wan Yusoff, Zamzuri, Hamedon, Zulkifli, Md. Yusof, Musa, Mailah

“…By using the laser simulator row points procedures, the point that determine the planned path in front of robot can be generated continuously and this process is repeated until the robot reaches the goal position. …”
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IWDSA: a hybrid Intelligent Water Drops with a Simulated Annealing for the localization improvement in wireless sensor networks by Gumaida, Bassam, Ibrahim, Adamu Abubakar

“…Additionally, simulation results confirm that the proposed algorithm IWDSA exhibits outstanding performance compared to other algorithms utilizing optimization techniques, including genetic algorithms, bat algorithms, ant colony optimization, and swarm optimization. …”
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Simulated kalman filter algorithm with improved accuracy by Mohd Falfazli, Mat Jusof, Ahmad Azwan, Abdul Razak, Shuhairie, Mohammad, Ahmad Nor Kasruddin, Nasir, Mohd Helmi, Suid, Mohd Ashraf, Ahmad, Zuwairie, Ibrahim

“…This paper presents an improved Simulated Kalman Filter optimiza-tion algorithm. It is a further enhancement of a Simulated Kalman Filter (SKF) optimization algorithm. …”
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The comparison of tardiness in scheduling techniques for task distribution using grid simulation tool by Stapa @ Mustapa, Muhamad Azhar

“…The complexity of scheduling problem increases with the size of the Grid. The goal of this project is to test on tardiness parameter in local search based algorithms. …”
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Modification of the ant colony optimization algorithm for solving multi-agent task allocation problem in agricultural application by Hardhienata, Medria Kusuma Dewi, Priandana, Karlisa, Putra, Daffa Rangga, Sriatun, Mamiek, Wulandari, Buono, Agus, Mohamed, Raihani

“…Simulation results revealed that the addition of the numbers of agents and ants increases the average efficiency of the algorithm. …”
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Enhancement of collision avoidance technique in dynamic crowd simulations using visual cues and vision based algorithm by Iznora Aini Zolkifly

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The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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Collision avoidance mechanisms using artificial potential field for UAVs by Abdul Azis, Fadilah, Tan, Jie Sim, Md Ghazaly, Mariam, Mohamad Hanif, Noor Hazrin Hany

“…To evaluate algorithmic performance, three simulated scenarios were developed: (i) varying obstacle densities, (ii) extreme goal positioning, and (iii) external wind disturbances. …”
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