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Adaptive path finding algorithm in dynamic environment for warehouse robot by Ng, Mun Kit, Chong, Yung Wey, Ko, Kwang man, Park, Young Hoon, Leau, Yu Beng

“…This paper presents AD* algorithm, a path finding algorithm that works in dynamic environment for warehouse robot. …”
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Dynamic path planning algorithm in mobile robot navigation by Yun, S.C., Parasuraman, S., Ganapathy, V.

“…MATLAB simulation is developed to verify and validate the algorithm before they are real time implemented on Team AmigoBotTM robot. …”
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Modelling of multi-robot system for search and rescue by Poy, Yi Ler

“…This report focusses on developing a novel multi-robot path planning algorithm based on the Modified Particles Swarm Optimization (MPSO) algorithm for dynamic environments. …”
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Optimization of mobile robot path planning in semi-dynamic environment using genetic algorithm by Kasim Hawari, Mohd Zarifitri

“…Thus, this thesis aims to develop a mobile robot for industrial applications by leveraging a genetic algorithm (GA). …”
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A generalized laser simulator algorithm for mobile robot path planning with obstacle avoidance by Muhammad, Aisha, Ali, Mohammed A.H., Turaev, Sherzod, Abdulghafor, Rawad Abdulkhaleq Abdulmolla, Shanono, Ibrahim Haruna, Alzaid, Zaid, Alruban, Abdulrahman, Alabdan, Rana, Dutta, Ashit Kumar, Almotairi, Sultan

“…This paper aims to develop a new mobile robot path planning algorithm, called generalized laser simulator (GLS), for navigating autonomously mobile robots in the presence of static and dynamic obstacles. …”
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FINDING SHORTEST PATH FOR DYNAMIC PUTTING PROBLEM USING ANT COLONY OPTIMISATION by Nor Akmal, Abdul Aziz

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Improved Dynamic Ant Colony System (DACS) on Symmetric Traveling Salesman Problem (TSP). by Md Rais, Helmi, Ali Othman, Zulaiha, Hamdan, Abdul Razak

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New robot navigation algorithm for arbitrary unknown dynamic environments based on future prediction and priority behavior by Tang, Sai Hong, Kamil, Farah, Zulkifli, Norzima, Ahmad, Siti Azfanizam, Khaksar, Weria, Moghrabiah, Mohammed Yasser

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Development of an improved Jellyfish Search (JS) algorithm for solving the optimal path problem of multi-robot collaborative multi-tasking in complex vertical farms by Shen, Jiazheng, Tang, Saihong, Zhao, Ruixin, Fan, Luxin, Mohd Ariffin, Mohd Khairol Anuar, As’arry, Azizan

“…The VFSMRCTP model is solved using the TLDW-JS algorithm and a number of comparison algorithms in order to analyze the algorithm’s performance. …”
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A generalized laser simulator algorithm for optimal path planning in constraints environment by Aisha, Muhammad

“…This research focuses on developing a novel path planning algorithm, called Generalized Laser Simulator (GLS), to solve the path planning problem of mobile robots in a constrained environment. …”
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Hybrid multiobjective genetic algorithm for integrated dynamic scheduling and routing of jobs and automated guided vehicles in flexible manufacturing systems by Umar, Umar Ali

“…The objectives of this research are to develop an algorithm for integrated scheduling and conflict-free routing of jobs and AGVs in FMS environment using a hybrid genetic algorithm, ensure the algorithm validity and improvement on the performance of the developed algorithm. …”
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Development of a motion planning and obstacle avoidance algorithm using adaptive neuro fuzzy inference system for mobile robot navigation by Muslim, Farah Kamil Abid

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DEVELOPMENT OF INTELLIGENT CONTROLLER FOR TRAFFIC LIGHTS WITH DYNAMIC PHASE ARRANGEMENT FOR SINGLE-ISOLATED INTERSECTIONS by KAMAL ABBAS, MAYTHEM AL-ADILI

“…The first decision made by the controlling algorithm was the sequence priority. This algorithm expands the Djikestra's shortest path algorithm to choose the optimal dual-green-phase to be operated at a moment of time.…”
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Repetitive mutations in genetic algorithm for software test data generations by Kadhim, Mohammed Majid

“…Genetic Algorithm (GA) has proven to be an important method in generating test data for automatic path coverage testing. …”
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Recent Advances and Applications of Spiral Dynamics Optimization Algorithm: A Review by Omar, M.B., Bingi, K., Rajanarayan Prusty, B., Ibrahim, R.

“…A detailed description of different spiral paths, their characteristics, and the application of these spiral approaches in developing and improving other optimization algorithms are comprehensively presented. …”
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Recent Advances and Applications of Spiral Dynamics Optimization Algorithm: A Review by Omar, M.B., Bingi, K., Rajanarayan Prusty, B., Ibrahim, R.

“…A detailed description of different spiral paths, their characteristics, and the application of these spiral approaches in developing and improving other optimization algorithms are comprehensively presented. …”
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Development of robust control scheme for wheeled mobile robot in restricted environment by Muhammad Sawal, A Radzak

“…A simulation study of WMR control in pre-planned paths in two environments namely, zigzag and highly curved terrains, has been conducted to verify the proposed algorithm and compare it with other existed algorithms. …”
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Optimization Of Two-Dimensional Dual Beam Scanning System Using Genetic Algorithms by Koh, Johnny Siaw Paw

“…The simulation results indicate that the algorithm is able to segregate and assign the tasks for each scanning head and also able to find the shortest scanning path for different types of objects coordination. …”
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A comprehensive overview of classical and modern route planning algorithms for self-driving mobile robots by Wan Daud, Wan Mohd Bukhari, Abu, Nur Syuhadah, Omar, Siti Nashayu, Sohaimeh, Shahirul Ashraf, Adli,, M. H.

“…This evaluation focuses mostly on the accuracy of the different path-planning algorithms. Common collision-free path planning methodologies are examined in this paper, including classical or traditional and modern intelligence techniques, as well as both global and local approaches, in static and dynamic environments. …”
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Development of real-time navigation system by using pure pursuit guidance for unmanned surface vehicle by Putri Nur Farhanah, Mohd Shamsuddin

“…Therefore, a Pure Pursuit algorithm will be developed to assist the USV in tracking the target's position, ensuring that the vehicle will follow the new path information, and enhancing the real-time performance of the USV as it tracks the target's current position based on the output commands. …”
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