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Parallel distributed genetic algorithm development based on microcontrollers framework by Krishnan P.S., Kiong T.S., Koh J.

A novel hybrid evolutionary mating algorithm for Covid19 confirmed cases prediction based on vaccination by Ahmed, Marzia, Ahmad Johari, Mohamad, Rahman, Mostafijur, Mohd Herwan, Sulaiman, Abul Kashem, Mohammod

“…First, the best hyperparameter values of the RBF kernel-based LSSVM (least square support vector machine) were determined using the most recent Evolutionary Mating Algorithm (EMA). …”
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Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions by Saraswati, Galuh Wilujeng

“…The project has also implemented the optimization process onto the proposed ANFIS model through the hybrid of Genetic Algorithm on the fuzzy membership function of the ANFIS model. …”
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Character classification for license plate recognition system based on image processing using MATLAB by Hashim, Mustafa Adil

“…Studies attempt to enhance the effectiveness of the system that is used to detect and recognize car plate characters and numbers and to find the accurate algorithm most suitable for specific countries, depending on the country’s standard car plate specifications. …”
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Dengue classification system using clonal selection algorithm / Karimah Mohd by Mohd, Karimah

“…Some popular intelligent techniques like Genetic Algorithm, Fuzzy Logic and Artificial Neural Network are often used by reasearcher to perform classifcation problems. …”
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Development of an integrated scheduling model for handling equipment in automated port container terminals by Sadeghian, Syed Hamidreza

“…In addition, results proved that the modified meta-heuristic algorithm is able to find near optimal solutions and on average, the solutions found by the GA algorithm are only 0.2% worse than the optimal solutions and in the worst case in the test cases this difference is 2.3% which is acceptable. …”
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Predicting breast cancer using ant colony optimisation / Siti Sarah Aqilah Che Ani by Che Ani, Siti Sarah Aqilah

“…The results of this study have shown that a classification model using ACO is as comprehensible and accurate as one using the J48 algorithm due to the predictive accuracy produced. …”
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Multi-objective service restoration in distribution networks using genetic algorithm by Moazami, Ehsan

“…Electricity is the backbone of each industrialised society and economy. Modern countries are not used to having even short power blackouts. …”
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A comparative study of clonal selection algorithm for effluent removal forecasting in septic sludge treatment plant by Chun T.S., Malek M.A., Ismail A.R.

An automatic diacritization algorithm for undiacritized Arabic text by Zayyan, Ayman Ahmad Muhammad

“…Hence, the aim of this research is to reduce the ambiguity of the absences of diacritic marks using hybrid algorithm with significantly higher accuracy than the state-of-the-art systems for MSA. …”
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The analysis of road traffic fatality pattern for Selangor, Malaysia case study by Radzuan, N. Q., Mohd Hasnun Ariff, Hassan, Abu Kassim, K. A., Ab. Rashid, A. A., Intan Suhana, Mohd Razelan, Nur Aqilah, Othman

“…Road traffic fatality is a burden towards low- and middle-income countries including Malaysia. Seeing that Selangor has the highest number of road traffic fatalities in Malaysia for the year 2019, therefore the state is selected as a case study. …”
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A hybrid model using genetic algorithm and neural network for predicting dengue outbreak by Husin, Nor Azura, Mustapha, Norwati, Sulaiman, Md. Nasir, Yaakob, Razali

“…The aim of this paper is to design a more promising model for predicting dengue outbreak by using a hybrid model based on genetic algorithm for the determination of weight in neural network model. …”
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Multi-objective optimization of stand-alone hybrid renewable energy system by genetic algorithm by Nejad, Mohsen Fadaee

“…HOGA, as a new effective tool for multi-objective optimization by evolutionary algorithm is used in this research. HOGA (Hybrid Optimization by Genetic Algorithms) is developed by Dr.Lopez from Zaragoza university in Spain. …”
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Prediction of epidemic peak and infected cases for COVID-19 disease in Malaysia, 2020 by Alsayed A., Sadir H., Kamil R., Sari H.

Optimal location and sizing determination of distributed generation for loss minimization and voltage stability improvement using immune evolutionary programming by Sharifah Munirah Mahmor

Hepatitis C Virus Core Antigen As Alternative Diagnostic Algorithm For Active Hepatitis C Virus Infection Among Haemodialysis Population: Cost Implications by Xue Z. Wong, Amirah Azzeri, Chye C. Gan, Shabaruddin Fatiha, Dahlui Maznah, Rosnawati Yahya, Shubash Ganapathy, Soek S. Tan, Rosmawati Mohamed, Soo K. Lim

Stray animal complaint system using geolocation technique with rule-based Algorithm / Albin Lemuel Kushan … [et al.] by Kushan, Albin Lemuel, Mahadi, Mohamad Tajuddin, Zulhemay, Mohd Nabil, Sadikan, Siti Fairuz Nurr, Mishan, Mohd Taufik

“…In this current age, the world has become modernize with the advancement of technology, and with it, more countries are adapting to the ever-increasing technology trend. …”
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An improved diabetes risk prediction framework : An Indonesian case study by Sutanto, Daniel Hartono

“…Pre-processing resolves the issue of missing data and hence normalizes the data.Outlier treatment employs k-mean clustering to validate the class.Suitable components were selected through comparison of classifier algorithms and feature selection.Attribute weighting based feature selection was selected for assigning weightage.Weighted risk factor was used on training dataset in order to improve accuracy and computation time of the prediction. …”
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Minimization of tool path length of drilling process using particle swarm optimization (PSO) by Abdullah, Haslina, Zaman, Nizam Nurehsan, Talib, Norfazillah, Lee, Woon Kiow, Saleh, Aslinda, Zakaria, Mohamad Shukri

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Waste collection vehicle routing problem benchmark datasets and case studies: A review by Idrus, Zanariah, Ku-Mahamud, Ku Ruhana, Benjamin, Aida Mauziah

“…Investigation on objectives, constraints and algorithms are also discussed. Results showed the increased interest of researchers in using benchmark datasets as well as the case studies and some of the constraints that should be considered in WCVRP.It also suggested that environmental or quality of service issues can be integrated into the common objectives of minimizing cost and distance travelled.Methods used in WCVRP are exact methods and approximate methods.Results showed that approximate methods have the capability in providing good results for large-scale data. …”
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