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Improved whale optimization algorithm for feature selection in Arabic sentiment analysis by Tubishat, Mohammad, Abushariah, Mohammad A.M., Idris, Norisma, Aljarah, Ibrahim

“…In SA, feature selection phase is an important phase for machine learning classifiers specifically when the datasets used in training is huge. Whale Optimization Algorithm (WOA) is one of the recent metaheuristic optimization algorithm that mimics the whale hunting mechanism. …”
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Time series predictive analysis based on hybridization of meta-heuristic algorithms by Mustaffa, Zuriani, Sulaiman, Mohd Herwan, Rohidin, Dede, Ernawan, Ferda, Kasim, Shahreen

“…The identified meta-heuristic methods namely Moth-flame Optimization (MFO), Cuckoo Search algorithm (CSA), Artificial Bee Colony (ABC), Firefly Algorithm (FA) and Differential Evolution (DE) are individually hybridized with a well-known machine learning technique namely Least Squares Support Vector Machines (LS-SVM). …”
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Optimal path planning algorithms in virtual environments by Hassan, Rohayanti

“…In relation to that, A* algorithm was used as a path finding technique to plan a collision-free-path journey from one location to another. …”
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Classification with degree of importance of attributes for stock market data mining by Khokhar, Rashid Hafeez, Md. Sap, Mohd. Noor

“…Alan Fan et aI., [2] use Support Vector Machine (SVM) to stock market prediction. The SVM is a training algorithm for learning classification and regression rules from data [7]. …”
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Time series predictive analysis based on hybridization of meta-heuristic algorithms by Zuriani, Mustaffa, M. H., Sulaiman, Rohidin, Dede, Ernawan, Ferda, Shahreen, Kasim

“…The identified meta-heuristic methods namely Moth-flame Optimization (MFO), Cuckoo Search algorithm (CSA), Artificial Bee Colony (ABC), Firefly Algorithm (FA) and Differential Evolution (DE) are individually hybridized with a well-known machine learning technique namely Least Squares Support Vector Machines (LS-SVM). …”
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A review on autonomous mobile robot path planning algorithms by Noraziah, Adzhar, Yuhani, Yusof, Muhammad Azrin, Ahmad

“…In this paper, commonly use classical approaches such as cell decomposition (CD), roadmap approach (RA), artificial potential field (AFP), and heuristics approaches such as genetic algorithm (GA), particle swarm optimization (PSO) approach and ant colony optimization (ACO) method are considered.It is observed that when it comes to dynamic environment where most of the information are unknown to the mobile robots before starting, heuristics approaches are more popular and widely used compared to classical approaches since it can handle uncertainty, interact with objects and making quick decision. …”
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Robotic path planning using rapidly-exploring random trees by Sherwani, Fahad

“…However, the planned path by using basic RRT structure might not always be optimal in terms of path length. …”
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Stock market turning points rule-based prediction / Lersak Photong … [et al.] by Photong, Lersak, Sukprasert, Anupong, Boonlua, Sutana, Ampant, Pravi

“…Finally, rule-based optimisation techniques such as Particle Swarm Optimization (PSO), Differential Evolution (DE) and Grey Wolf Optimizer (GWO) were used to minimise the amount of time employed in the stock market turning points prediction. …”
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A Novel Path Prediction Strategy for Tracking Intelligent Travelers by Motlagh, Omid Reza Esmaeili

“…Experimental works show the capabilities of the developed DSS in human path prediction using both simulated and actual WLAN-based positioning dataset. …”
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Advanced computational geometry for proximity queries of convex polyhedras by Sundaraj, Kenneth, Retnasamay, V.

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Path planning methods for autonomous vehicles at intersections: A review by Vinayak, Akhil, Muhammad Aizzat, Zakaria, Younus, Maryam, Mohamad Heerwan, Peeie, Muhammad Izhar, Ishak

“…Furthermore, the review highlights key challenges such as handling dynamic multi-agent environments, managing interactions with human-driven vehicles, and balancing computational efficiency with path optimality and discusses potential solutions through adaptive, real-time algorithms, cooperative planning, and predictive modelling. …”
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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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Performance analysis of multipath routing based on source routing by N. Z., Ali, R. Badlishah, Ahmad, Prof. Madya Dr., Syed Alwee Aljunid, Syed Junid, Prof. Madya

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Dynamic interactive 3D mobile navigation aid by Adamu, Abubakar Ibrahim, Mantoro, Teddy, SHAFI’I, M.A.

“…We provide an interactive navigation techniques for finding the shortest path to a desire destination and also been able to interact with an (agent if it’s another user) or (object in terms of point or destination) in realtime with the help bi-A* pathfinding algorithm and voronoi diagram. …”
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A novel swarm-based optimisation algorithm inspired by artificial neural glial network for autonomous robots by Ismail, Amelia Ritahani, Tumian, Afidalina

“…The main idea in this algorithm is the indirect communication between the ants which is established by the means of pheromones in finding the shortest path between their nest and food [14]. …”
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Enchancing QoS protection in MPLS networks by Hanshi, Sabri M., Al-Khateeb, Wajdi Fawzi Mohammed

“…To verify the efficiency of the proposed algorithm, the MPLS network simulator MNS-2 has been used as the test platform.…”
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A Collision Detection Algorithm For Virtual Robot-Centered Flexible Manufacturing Cell by Arshad, Haslina

“…Collision detection is crucial in virtual manufacturing applications such as virtual prototyping, virtual assembly and virtual robot path planning. For accurate simulation of manufacturing systems and processes in virtual environment, physical interaction with the objects in the scene are triggered by collision detection. …”
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Empirical analysis and optimization suggestions of Peking Opera audience's use intention of Kuaishou app by Shixia, Yang, Alexander, Chelum

“…The test of the moderating effect finds that Peking Opera exposure experience produces a significant moderating effect in all paths where independent variables influence usage intention, while age only exerts a specific moderating effect in the paths of effort expectancy and algorithm recommendation on usage intention. …”
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Theoretical study of elliptic drum of vertical spindle cotton picker by Ravutov, Shavkat, Rakhimov, Abdumalik, Ibragimov, Gafurjan

“…An analytical expression is obtained, and a convenient calculation algorithm is developed to automate the investigation of the influence of the dimensions of drum mechanism parts onthe directional path shape and its dimensions. …”
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Review of Nature Inspired Metaheuristic Algorithm Selection for Combinatorial t-way Testing by Muazu, A.A., Hashim, A.S., Sarlan, A.

“…The purpose of this review is to revisit and carry out up-to-date review on these distinguished algorithms with their respective current state of use. …”
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