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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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Developing a college room allocation system using heuristic algorithm / Raziha Bidin by Bidin, Raziha

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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

“…To solve the task allocation problem, the capability list of the agents was also adjusted using common UAV capabilities in agricultural application. …”
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Performances Of Metaheuristic Algorithms In Optimizing Tool Capacity Allocations by Goheannee

“…To achieve the best allocation, optimization methods, such as metaheuristic algorithms are commonly used. …”
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Automated scheduling of hostel room allocation using genetic algorithm by Rayner Alfred, Hin, Fuk Yu

“…This paper proposes a hierarchical heuristics approach to cope with hostel room allocation problem. The proposed approach involves selecting eligible students using rank based selection method and allocating selected students to the most suitable hostel room possible via the implementation of a genetic algorithm (GA). …”
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Exam hall allocation using genetic algorithm / Norisyani Binti Fauzai by Fauzai, Norisyani

“…In this project an automated exam hall allocation prototype was developed using the genetic algorithm since this algorithm is commonly used to produce high-quality optimization solutions. …”
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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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School teacher-subject allocation management system by Yap, Dennis Jian Yuan

“…Not just that, Genetic Algorithm, a meta-heuristic is also used to solve the clashing problem faced by existing system using deterministic algorithm. …”
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An improved leader particle swarm optimisation algorithm for solving flexible ac transmission systems optimisation problem in power system by Jordehi, Ahmad Rezaee

“…It should efficiently mitigate premature convergence problem and result in lower amounts of overloads, voltage deviations and power losses (than existing algorithms) in D-TCSC allocation problem during line outage contingencies. …”
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DESIGN AND EVALUATION OF RESOURCE ALLOCATION AND JOB SCHEDULING ALGORITHMS ON COMPUTATIONAL GRIDS by MEHMOOD SHAH, SYED NASIR

“…The issue is not only to develop new algorithms, but also to evaluate them on an experimental computational grid, using synthetic and real workload traces, along with the other existing job scheduling algorithms. …”
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Distributed generation allocation to reduce losses and improve voltage profile genetic algorithm: article by Abdol Azis, Hazriq Syahmie

“…I used Newton Raphson for load flow algorithm and composed it with Genetic Algorithm. …”
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Transmission loss and load flow allocations via genetic algorithm technique by Mohd Herwan, Sulaiman, Mustafa, M. W., Aliman, O.

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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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Meta-scheduler in Grid environment with multiple objectives by using genetic algorithm by Lorpunmanee, Siriluck, Sap, M.N.M, Abdullah, Abdul Hanan, Srinoy, Surat

“…The minimization is proposed by using a multiple objective genetic algorithm (GA), because the job scheduling problem is NP-hard problem. …”
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Development of multi-objective Chaotic Immune Symbiotic Organisms Search (CISOS) algorithm for facts device installation in voltage security control / Mohamad Khairuzzaman Mohamad... by Mohamad Zamani, Mohamad Khairuzzaman

“…It is proposed that CISOS technique is used to solve other optimisation problems for future research.…”
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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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Solving Airport Gate Allocation Problem Using Angle Modulated Simulated Kalman Filter by Kamil Zakwan, Mohd Azmi, Zulkifli, Md. Yusof, Siti Nurzulaikha, Satiman, Badaruddin, Muhammad, Saifudin, Razali, Zuwairie, Ibrahim, Nor Azlina, Ab. Aziz, Nor Hidayati, Abd Aziz

“…Preliminary results show that SKF is a promising algorithm for solving the airport gate allocation problem.…”
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An improved algorithm for channel allocation on direct sequence spread spectrum by Handrizal, M

“…Graph coloring is an assignment a color to each vertex, which each vertex that adjacent is given a different color. Graph coloring is a useful algorithm for channel allocation on Direct Sequence Spread Spectrum (DSSS).Through this algorithm,each access point (AP) that adjacent gives different channels based on colors available.Welsh Powell algorithm and Degree of saturation (Dsatur) are the popular algorithms being used for channel allocation in this domain. …”
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Heuristic algorithm for university final examination timetabling by Thian, Tze Yung

“…There are two parts fbr the algorithm which are course grouping and timeslot allocation. …”
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Solving New Student Allocation Problem (NSAP) With Analytical Hierarchy Process (AHP) by Shahbodin, Faaizah, Wan Hassim, Wan Haniza, Shibghatullah, Abdul Samad

“…There are many approaches used to solve New Student Allocation Problem (NSAP).Many researchers use application of Genetic Algorithm (GA).However,the study presented in this paper applies an Analytical Hierarchy Process (AHP)technique in solving New Student Allocation Problem (NSAP) handled by Registration Unit at Ungku Omar Polytechnic.The problem is the students are allocated to their class randomly,just by using their registration number and by all means without referring to their intelligence level,knowledge,skills and also their performance.So,in this paper the researcher’s focus is on solving NSAP by using AHP to allocate students into their respective classes with minimum intelligence gap in each class and the number of students in each class does not exceed its maximum capacity.The proposed solution will be tested using real data from the Politeknik Ungku Omar to see the result. …”
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