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Review of the grey wolf optimization algorithm: variants and applications by Liu, Yunyun, As’arry, Azizan, Hassan, Mohd Khair, Hairuddin, Abdul Aziz

“…The GWO algorithm offers several significant benefits, including simple implementation, rapid convergence, and superior convergence outcomes, leading to its effective application in diverse fields for solving optimization issues. …”
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Voting algorithms for large scale fault-tolerant systems by Karimi, Abbas

“…Since Plurality voting, among the popular and widely applied algorithms, has more correct responses even more than the most known and practical voting algorithm like majority and by relying on the benefit of parallel algorithms, we proposed parallel plurality voting with the minimum number of processors in an optimal time compared to its sequential type. …”
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CSC752: Advanced Algorithm & Analysis / College of Computing, Informatics and Media by UiTM, College of Computing, Informatics and Media

“…Algorithmic problems form the core of computer science, and thus algorithm design and analysis is among its most fundamental elements. …”
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CSC752: Advanced Algorithm & Analysis / College of Computing, Informatics and Mathematics by UiTM, College of Computing, Informatics and Mathematics

“…Algorithmic problems form the core of computer science, and thus algorithm design and analysis is among its most fundamental elements. …”
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Ant colony optimization algorithm for dynamic scheduling of jobs in computational grid by Ku-Mahamud, Ku Ruhana, Ramli, Razamin, Yusof, Yuhanis, Mohamed Din, Aniza, Mahmuddin, Massudi

“…Job scheduling problem is classified as an NP-hard problem.Such a problem can be solved only by using approximate algorithms such as heuristic and meta-heuristic algorithms.Among different optimization algorithms for job scheduling, ant colony system algorithm is a popular meta-heuristic algorithm which has the ability to solve different types of NP-hard problems.However, ant colony system algorithm has a deficiency in its heuristic function which affects the algorithm behavior in terms of finding the shortest connection between edges.This research focuses on a new heuristic function where information about recent ants’ discoveries has been considered.The new heuristic function has been integrated into the classical ant colony system algorithm.Furthermore, the enhanced algorithm has been implemented to solve the travelling salesman problem as well as in scheduling of jobs in computational grid.A simulator with dynamic environment feature to mimic real life application has been development to validate the proposed enhanced ant colony system algorithm. …”
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Review of the grey wolf optimization algorithm: variants and applications by Liu, Yunyun, As’arry, Azizan, Hassan, Mohd Khair, Hairuddin, Abdul Aziz, Mohamad, Hesham

“…The GWO algorithm offers several significant benefits, including simple implementation, rapid convergence, and superior convergence outcomes, leading to its effective application in diverse fields for solving optimization issues. …”
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Adopting Jaya Algorithm for Team Formation Problem by Kader, Md. Abdul, Kamal Z., Zamli

“…This victorious nature makes Jaya Algorithm more powerful and significant as compared to any other contemporary optimization algorithms. …”
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New random approaches of modified adaptive bats sonar algorithm for reservoir operation optimization problems by Nor Shuhada, Ibrahim

“…The increasing interest among researchers in the application of metaheuristic algorithms for search optimization has resulted in notable progress, especially in tackling single objective optimization problems. …”
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Evaluation of dynamic programming among the existing stereo matching algorithms by Teo, Chee Huat, Nurulfajar, Abd Manap

“…On this research is to perform an evaluation on the performance between the dynamic programming with other existing method as comparison. The algorithm used on the dynamic programming is the global optimization which provides better process on stereo images like its accuracy and its computational efficiency compared to other existing stereo matching algorithms. …”
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Enhanced gravitational search algorithm for nano-process parameter optimization problem / Norlina Mohd Sabri by Mohd Sabri, Norlina

“…Metaheuristic algorithms have been adapted in various engineering applications due to their efficiencies in solving complex and larger real-life optimization problems. …”
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Multi-population Genetic Algorithm for Rich Vehicle Routing Problems by Agany Manyiel, Joseph Mabor

“…However, genetic algorithm is stochastic in nature and does not guarantee optimal solution in an application all the time, a problem referred to as premature convergence in literature. …”
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Online Dynamic Replication and Placement Algorithms for Cost Optimization of Online Social Networks in Two-tier Multi-cloud by Ali Y. Aldailamy, Abdullah Muhammed, Rohaya Latip, Nor Asilah Wati Abdul Hamid, Waidah Ismail

Application of nature-inspired algorithms and artificial intelligence for optimal efficiency of horizontal axis wind turbine / Md. Rasel Sarkar by Md. Rasel, Sarkar

“…In this study, the performance of these three algorithms in obtaining the optimal blade design based on the �436�45D are investigated and compared. …”
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Optimization of overcurrent relays coordination using Artificial Hummingbird Algorithm (AHA) by Noor Zaihah, Jamal, Arfan Haziq, Fathul Azmi

“…This project investigates the application of the Artificial Hummingbird Algorithm (AHA) in optimizing overcurrent relay coordination to minimize operation time while meeting selectivity criteria and operating limits. …”
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Hybridization of metaheuristic algorithm in training radial basis function with dynamic decay adjustment for condition monitoring / Chong Hue Yee by Chong , Hue Yee

“…Artificial neural network (ANN) has shown effective in various condition monitoring and fault detection applications. ANN is popular due to its capability of identifying the complex nonlinear relationships among features in a large dataset and hence, it can perform with an accurate prediction. …”
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Real-time optimization and control of 3DOF helicopter system via extremum seeking algorithm by Ra'afat, Safanah M., Ali, Shahad S., Akmeliawati, Rini

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An improved genetic algorithm for solving the multiprocessor scheduling problem by Alshaikhli, Imad Fakhri Taha, Khalil, Ismail

“…Many methods and algorithms were suggested to solve this problem due to its importance. …”
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A hybrid artificial immune systems for multimodal function optimization and its application in engineering problem by Yap, David F. W., Koh, S. P., Tiong, S. K., Prajindra, S. K.

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Effect of negative campaign strategy of election algorithm in solving optimization problem by Hamza Abubakar, Saratha Sathasivam, Shehab Abdulhabib Alzaeemi

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Cloudlet deployment and task offloading in mobile edge computing using variable-length whale and differential evolution optimization and analytical hierarchical process for decisio... by Daba, Layth Muwafaq Abdulhussein

“…VL-WIDE was also integrated with the solution selection model based on the Analytical Hierarchical Process (AHP) that considers decision-maker preference for the optimized objectives. Comparing this developed algorithm with other algorithms shows its superiority in multi-objective optimization (MOO) evaluation metrics. …”
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