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Performance analysis of support vector machine, Gaussian Process Regression, sequential quadratic programming algorithms in modeling hydrogen-rich syngas production from catalyzed co-gasification of biomass wastes from oil palm
Published 2022“…Taking advantage of the data generated from the process, this study explores the performance of twelve machine learning algorithms built on the support vector machine (SVM), the Gaussian process regression (GPR), and the non-linear response quadratic model (NLRQM) using Sequential quadratic programming, and the Levenberg-Marquardt algorithms. …”
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Performance analysis of support vector machine, Gaussian Process Regression, sequential quadratic programming algorithms in modeling hydrogen-rich syngas production from catalyzed co-gasification of biomass wastes from oil palm
Published 2022“…Taking advantage of the data generated from the process, this study explores the performance of twelve machine learning algorithms built on the support vector machine (SVM), the Gaussian process regression (GPR), and the non-linear response quadratic model (NLRQM) using Sequential quadratic programming, and the Levenberg-Marquardt algorithms. …”
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A case study of minimising travel time for waste management problem with limited picking capacity in Taman Seremban 3 / Nur Yasmin Izzatul Zaid, Norezwannim Ibrahim and Nur Umairah...
Published 2024“…Finally, the study will determine the minimum travel time for a garbage truck to collect waste in Taman Seremban 3. Using the Dijkstra's algorithm in Python, the minimum travel time for the garbage truck to collect waste in Taman Seremban 3 was 2.55 hours. …”
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Schedule of tour guide using genetic algorithm / Nur Aishah Rosli
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Development of a fuzzy multi-objective mathematical model for hazardous waste location-routing problem
Published 2014“…This study considers uncertainty in generated hazardous waste quantity by using fuzzy parametric programming. …”
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Integrated immune-commensal-evolutionary programming for economic dispatch and distributed generation installation / Mohd Helmi Mansor
Published 2020“…ICEP is developed from the hybridization of three independent optimization techniques, namely Symbiotic Organisms Search (SOS), Artificial Immune System (AIS) and Evolutionary Programming (EP). EP is the leading optimizer of the hybrid algorithm while cloning operator of AIS and commensal operator of SOS are adopted into the EP algorithm to improve its performance. …”
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Development of heuristic methods based on genetic algorithm (GA) for solving vehicle routing problem
Published 2008“…Based on the proposed heuristic method, we developed a program to optimize the routing problem using the Visual Studio C++ 6.0 programming language.…”
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Monograph -
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Application of intelligent optimization techniques and investigating the effect of reservoir size in calibrating the reservoir operating policy
Published 2023“…Particle swarm optimization, genetic algorithm and neural network-based stochastic dynamic programming are used to compare the model performances. …”
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Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization
Published 2019“…The findings also indicate that the proposed embedded system for indoor guidance parking using Dijkstra-ACO algorithm with the proposed layout of parking bay for indoor parking system, will help in reducing the time wasted in searching for a parking bay and will increase the efficiency of the parking system in shopping malls.…”
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Shortest path from Bandar Tun Razak to Berjaya Times Square using Dijkstra Algorithm / Nur Syuhada Muhammat Pazil ... [et al.]
Published 2020“…The time of the shortest path problem and the cost problem are drawn separately. Moreover, Dijkstra algorithm is applied to find the shortest path. The shortest path is calculated by using C programming of Dev C++. …”
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System performances analysis of reservoir optimization–simulation model in application of artificial bee colony algorithm
Published 2018“…Particle swarm optimization, genetic algorithm and neural network-based stochastic dynamic programming are also used in a view of comparing model performances. …”
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Optimization technique with sensitivity analysis on menu scheduling for boarding school student aged 13-18 using “Sufahani-Ismail Algorithm”
Published 2018“…Menu arranging is a known optimization problem. Therefore Binary Programming alongside optimization technique and “Sufahani-Ismail Algorithm” were utilized to take care of this issue. …”
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Conference or Workshop Item -
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TELE-OPERATED ROBOT USING VC PROGRAMMING PROTOCOL
Published 2007“…The development stages are comprised of structure and mechanism construction, electronic circuit development and programming algorithms generation. The tele-operated robot functions as a transporter. …”
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Final Year Project -
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Applied mathematical optimization technique on menu scheduling for boarding school student using delete-reshuffle-reoptimize algorithm
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Conference or Workshop Item -
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SG-PBFS : Shortest Gap-Priority Based Fair Scheduling technique for job scheduling in cloud environment
Published 2024“…To conduct this experiment, we employed the CloudSim simulator, which is implemented using the Java programming language.…”
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Operator Training Simulator Using Plantwide Control for Biodiesel Production from Waste Cooking Oil
Published 2015“…Subsequently, both the processes are optimized considering profit, heat duty and organic waste as objectives, and using an Excel-based multi-objective optimization (EMOO) program for the elitist non-dominated sorting genetic algorithm (NSGA-II). …”
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