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Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection by Nwogbaga, Nweso Emmanuel, Latip, Rohaya, Affendey, Lilly Suriani, Abdul Rahiman, Amir Rizaan

“…Therefore, in this paper, we proposed Dynamic tasks scheduling algorithm based on attribute reduction with an enhanced hybrid Genetic Algorithm and Particle Swarm Optimization for optimal device selection. …”
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Finding the root of nonlinear function using five bracketing method / Nur Afiqah Mohamed Azhar by Mohamed Azhar, Nur Afiqah

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Exam hall allocation using genetic algorithm / Norisyani Binti Fauzai by Fauzai, Norisyani

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Hand gesture recognition for autism diagnosis using Support Vector Machine (SVM) Algorithm / Muhammad Asyraf Mohamad Zain by Mohamad Zain, Muhammad Asyraf

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Features selection for intrusion detection system using hybridize PSO-SVM by Tabaan, Alaa Abdulrahman

“…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
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Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing by Husna, Jamal Abdul Nasir

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The Determination of Pile Capacity Using Artificial Neural-net: An Optimization Approach by Ab. Malik, Rosely, Jamil S., Mohamed

“…Using the developed algorithm, the safety measures involved are such as reliability index and the probability of failure; instead of only factor of safety if conventional deterministic approach is used. …”
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Modified ant colony optimization algorithms for deterministic and stochastic inventory routing problems / Lily Wong by Lily , Wong

“…The demands in SIRP are modeled by some probability functions and due to the stochastic nature of customer demands, the service levels constraint where it limits the stock out probability at each customer and the probability of overfilling the stock of each customer is introduced in this study. …”
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Determination of dengue hemorrhagic fever disease factors using neural network and genetic algorithms / Yuliant Sibaroni, Sri Suryani Prasetiyowati and Iqbal Bahari Sudrajat by Yuliant, Sibaroni, Sri Suryani, Prasetiyowati, Iqbal Bahari, Sudrajat

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The child tracker using location awareness / Muhammad Idham Amdan by Amdan, Muhammad Idham

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Enhancing Power System Resilience Through Evolutionary Programming for High Impact Low Probability Events by Zakaria F., Musirin I., Kamari N.A.M., Aminuddin N., Johari D., Shaaya S.A., Bajwa A.A., Kumar A.V.S.

“…This paper presents enhancing power system resilience through evolutionary programming for high-impact low probability (HILP) events. …”

A nonstandard optimal control problem arising in an economics application: for royalty payment with piecewise function by Wan Ahmad, Wan Noor Afifah

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Comparative analysis of web-based programs for single amino acid substitutions in proteins by Arunabh Choudhury, Taj Mohammad, Farah Anjum, Alaa Shafie, Indrakant K. Singh, Bekhzod Abdullaev, Pasupuleti Visweswara Rao, Mohd Adnan, Dharmendra Kumar Yadav, Md. Imtaiyaz Hassan

“…In recent years, developments in existing programs and the introduction of new prediction algorithms have transformed the state-of-the-art protein mutation analysis. …”
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Car recognition using Bayes Classifier / Nur Atiqah Mat Samadi by Mat Samadi, Nur Atiqah

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Investigating The Performance Of Metaheuristics To Optimize The Revenue Of Semiconductor Supply Chain by Roslee, Muhammad Sharifuddin

“…Below is the comparison of the fitness value among 20 metaheuristics algorithms run through Python programming.…”
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Optimal assignments of versions to processors in fault-tolerant computer systems by Leow, Soo Kar, McAllister, David F.

“…For voting system, k must be at least 2 and, in this case the objective function is non-linear. This implies that linear assignment algorithms cannot be used to obtain the optimal assignment. …”
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Nonparametric predictive inference forest fire dashboard by Amirah Hazwani, Roslin, Noryanti, Muhammad

“…It also included a predictive function using the R programming language software as its main task. …”
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SpickME: Choosing spectacles prediction system by using multinomial Naïve Bayes / Nurul Nabilah Johari by Johari, Nurul Nabilah

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Vandermonde matrices inversion via synthetic division / Muhammad Aiman Wafi Nazri, Wan Muhammad Sirhan Razali and Nur Khairani Izzati Abdul Kadir by Wafi Nazri, Muhammad Aiman, Razali, Wan Muhammad Sirhan, Abdul Kadir, Nur Khairani Izzati

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Hybridization Of Deterministic And Metaheuristic Approaches In Global Optimization by Goh, Khang Wen

“…The probabilistic/metaheuristic approaches are methods based on probability, genetic and evolution as its metaheuristic function for the guidance when solving the global optimization problem, and their accuracy of the solution obtained are not guaranteed. …”
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