Search Results - (( development programs function algorithm ) OR ( _ quality function algorithm ))
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1
Some metaheuristic algorithms for solving multiple cross-functional team selection problems
Published 2022“…We compared the developed algorithms with the MIQP-CPLEX solver on 500 programming contestants with 37 skills and several randomized distribution datasets. …”
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2
Exam hall allocation using genetic algorithm / Norisyani Binti Fauzai
Published 2021“…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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3
A hybrid MEP and AIS Algorithm for energy dispatch in power system
Published 2017“…This necessitates for researches in developing new tools to overcome ED problems. Therefore, this paper introduces the new algorithm as an alternative method to provide the best solution in solving the single objective function of ED problems. …”
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4
A framework of test case prioritisation in regression testing using particle swarm-artificial bee colony algorithm
Published 2024“…Software modifications necessitate regression testing to address defects and verify functionality. Regression test case prioritisation (TCP) is used to revalidate modified software, ensuring its quality before release on the digital market. …”
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5
Neural network modeling and optimization for spray-drying coconut milk using genetic algorithm and particle swarm optimization
Published 2022“…Firstly, using MATLAB program, the ANN model is developed based on optimized topology and is then furthered optimized by genetic algorithm (GA) and particle swarm optimization (PSO) using MINITAB program. …”
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6
Differentiating Agarwood Oil Quality Using Artificial Neural Network
Published 2013“…The ANN programming algorithm was developed and computed automatically via Matlab software version R2010a. …”
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7
Efficient genetic partitioning-around-medoid algorithm for clustering
Published 2019“…The experiments acknowledged that the proposed relabeling algorithm could perform better in quality than the external F-score measure. …”
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8
Development of multi-objective Chaotic Immune Symbiotic Organisms Search (CISOS) algorithm for facts device installation in voltage security control / Mohamad Khairuzzaman Mohamad...
Published 2019“…The CISOS integrates the element of Chaotic Local Search and cloning into the original SOS algorithm. The performance of proposed CISOS technique has been assessed by using various benchmark test functions in terms of its ability to find the actual global minimum point of the test functions as well as the computational time required to find the minimum point. …”
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9
AI recommendation penetration testing tool for cross-site scripting: support vector machine algorithm
Published 2025“…The research employs Extreme Programming (XP) methodologies to ensure high-quality code, agility, and collaborative development. …”
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10
Edge detection and contour segmentation for fruit classification in natural environment / Khairul Adilah Ahmad
Published 2018“…This learning algorithm represents an automatic generation of membership functions and rules from the data. …”
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11
A Compromise Programming to Task Assignment Problem in Software Development Project
Published 2021“…We designed a genetic algorithm scheme to solve the transformed problem. …”
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Computational intelligence technique for DG installation within contingency scenario / Muhamad Saifullah Mahmud Affandi
Published 2014“…This proposed technique will be compared with Evolutionary Programming (EP) algorithm, that usually designed to maximize or minimize the objective function, which is a measure of the quality of each candidate solution. …”
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An evaluation of Monte Carlo-based hyper-heuristic for interaction testing of industrial embedded software applications.
Published 2020“…We applied Q-EMCQ on 37 real-world industrial programs written in Function Block Diagram (FBD) language, which is used for developing a train control management system at Bombardier Transportation Sweden AB. …”
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14
Development of a multi-objective optimization model for transport and environment in a closed-loop automotive supply chain
Published 2014“…The Multiobjective GSA (MOGSA) algorithm is adopted and then programmed using MATLAB software particularly to the MOACLSC. …”
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15
Power System State Estimation In Large-Scale Networks
Published 2010“…Power system state estimation constitutes one of the critical functions that are executed at the control centers. …”
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16
A Simulated Annealing Approach to Solve Fuzzy Multi-Objective Linear Model for Supplier Selection in a Supply Chain
Published 2010“…During this project a fuzzy Multi-objective linear model is developed to achieve three important goals: Cost minimization, Quality maximization and Service level maximization and further it is converted into crisp single objective programming model using membership functions of the three objectives. …”
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Current applications of machine learning in dentistry
Published 2022“…The process is similar to a human expert that can learn by repeated training (Hung et al., 2019). The quality of the output depends on the quality of data used to train and validate the algorithm (Rowe, 2019). …”
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18
Development of wwm system using mlnn-ga for ph prediction of water quality in catchment area
Published 2021“…In this research study, Multi-Layer Neural Network optimized by Genetic Algorithm (MLNN-GA) is introduced to predict the water quality. …”
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19
Application of artificial neural network in discriminating the agarwood oil quality using significant chemical compounds / Mohd Hezri Fazalul Rahiman … [et al.]
Published 2014“…The ANN programming algorithm was developed and computed automatically via Matlab software version R2010a. …”
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Book Section -
20
Optimal forwarding routing protocol in ipv6-based wireless sensor network
Published 2009“…In WSNs, TinyOS is the most widely used operating system. Thus, programming code of the OF routing protocol algorithm is written using NesC language, which is a high level programming language that emulates the syntax and functionality of hardware description languages, and provides components for communication, thread coordination, and hardware abstraction. …”
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