Search Results - (( program implementation using algorithm ) OR ( problem implementation level algorithm ))

Low-level hybridization scripting language with dynamic parameterization in PSO-GA / Suraya Masrom by Masrom, Suraya

“…However, in many cases, implementing the suitable hybrid algorithms for a given optimization problem is a considerably difficult, which in most cases, is time consuming. …”
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A genetic algorithm for solving single level lotsizing problems by Zenon, Nasaruddin, Ahmad, Ab. Rahman, Ali, Rosmah

“…In our implementation, a lot-sizing population-generating heuristic is used to feed chromosomes to a genetic algorithm with operators specially designed for lot-sizing problems. …”
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Parallel Implementation of Two Level Barotropic Models Applied to the Weather Prediction Problem by Bahri, Susila

“…Then the parallel algorithms are constructed and run using the Beowulf Cluster machine. …”
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Enhancement of Ant System Algorithm for Course Timetabling Problem by Djamarus, Djasli

“…In order to develop a new algorithm for the course scheduling problem, this research follows the experimental research methodology that consist of problem analysis, designing algorithm, implementing algorithm as a computer program in order to examine the results, analyzing the results, and if necessary improving the algorithm by doing all those activities over and over again. …”
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Deterministic and stochastic inventory routing problems with backorders using artificial bee colony / Huda Zuhrah Ab Halim by Huda Zuhrah , Ab Halim

“…A new MILP for DSIRPB is formulated and used within the algorithm. The DSIRPB is modeled as stochastic dynamic programming and solved using hybrid rollout algorithm. …”
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Modified ant colony optimization algorithms for deterministic and stochastic inventory routing problems / Lily Wong by Lily , Wong

“…The computational results show that the algorithms which implement this new formulation are able to produce better solutions. …”
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Human emotion recognition for computer games player using AdaBoost algorithm / Muhamad Nur Adhwa Muhamad Shukri by Muhamad Shukri, Muhamad Nur Adhwa

“…This application focusing on developing further implementation of human emotions recognition so that it will be more efficient and effective to be use in the future. …”
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Adaptive differential evolution algorithm with fitness based selection of parameters and mutation strategies / Rawaa Dawoud Hassan Al-Dabbagh by Rawaa Dawoud Hassan, Al-Dabbagh

“…ARDE algorithm makes use of JADE strategy and the MDE_pBX parameters adaptive schemes as frameworks. …”
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Optimization Of Fuzzy Logic Controllers With Genetic Algorithm For Two-Part-Type And Re-Entrant Production Systems by Homayouni, Seyed Mahdi

“…Furthermore, genetic algorithm (GA) has been used to optimize the FLCs performance. …”
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Automatic generation of neural game controller using single and bi-objective evolutionary optimization algorithms for RTS Game by Chang, Kee Tong

“…After that, a bi-objectives algorithm is tested for comparing purposes and this contributed for the next two sub-objectives that is 3) to test the feasibility for implementing the PDE hybrid FFNN. 4) to compare single objective and multi-objective optimization algorithms performances. …”
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An evaluation of Monte Carlo-based hyper-heuristic for interaction testing of industrial embedded software applications. by S. Ahmed, Bestoun, Enoiu, Eduard, Afzal, Wasif, Kamal Z., Zamli

“…Hyper-heuristic is a new methodology for the adaptive hybridization of meta-heuristic algorithms to derive a general algorithm for solving optimization problems. …”
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Tap Settings Optimization in Power Systems: Economic Efficiency Enhancement Through Cuckoo Search Algorithm While Ensuring Voltage Stability by Raizal N.I., Mansor M.H., Musirin I., Shaaya S.A., Ismail S.A., Ismail N.L.

“…Specifically, this study focuses on the role of on-load tap-changing transformers (OLTCs) in regulating voltage levels without interrupting the power supply. CSA is employed as an optimization technique due to its effectiveness in handling complex and nonlinear optimization problems. …”

Petroleum Refinery Planning Under Uncertainty: A Multiobjective Optimization Approach with Economic and Operational Risk Management by Van Fu Shen, Fu Shen

“…The implementation of the multiobjective optimization problem is then automated to report the model solution by capturing the solution values using the GAMS looping system. …”
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Petroleum Refinery Planning Under Uncertainty: A Multiobjective Optimization Approach with Economic and Operational Risk Management by Van, Fu Shen

“…The implementation of the multiobjective optimization problem is then automated to report the model solution by capturing the solution values using theGAMS looping system. …”
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Energy-aware task scheduling for streaming applications on NoC-based MPSoCs by Abd Ishak, Suhaimi Abd Ishak, Wu, Hui, Tariq, Umair Ullah

“…Using a set of real and synthetic benchmarks, we have implemented and compared our unified approach with two state-of-the-art approaches, RDAG+GeneS (Wang et al., 2011) , and JCCTS (Wang et al., 2013a). …”
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Optimal location and sizing determination of distributed generation for loss minimization and voltage stability improvement using immune evolutionary programming by Sharifah Munirah Mahmor

Improving Extreme Programming Framework With Security Concerns For E-Commerce Applications by Bala, Musa Shuaibu

Investigating computational thinking among primary school students in Terengganu using visual programming by Osmanullrazi, Abdullah

“…The interview has yielded that motivation, positive feelings, and their understanding of logical statement (Logic) are the student’s strengths while debugging, variables and operators are the most difficult skills to implement. This study contributes to the understanding and provides some insights of how Malaysian Primary Schools students have acquired CT skills competency using visual programming through the creation of computational artifacts. …”
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Security Framework Based on Reputation Mechanism for Peer-To-Peer Systems by Sinnanaidu, Subba Rao

“…In this thesis, a Peer Security Framework (PSF) has been developed using reputation-based mechanism to address these problems. …”
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Propositional satisfiability method in rough classification modeling for data mining by Abu Bakar, Azuraliza

“…Two models, Standard Integer Programming (SIP) and Decision Related Integer Programming (DRIP) to represent the minimal reduct computation problem were proposed. …”
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