Search Results - (( solution construction method algorithm ) OR ( program implementation clustering algorithm ))
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Enhancement of Ant System Algorithm for Course Timetabling Problem
Published 2009“…For this kind of problem, researchers believe that it will be better to find an approximate solution that can be delivered by a stochastic algorithm than waiting for an exact solution from the deterministic algorithm. …”
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Efficient genetic partitioning-around-medoid algorithm for clustering
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Sequential constructive algorithm incorporate with fuzzy logic for solving real world course timetabling problem
Published 2020“…Sequential constructive algorithm is one of the popular methods for solving timetabling problems. …”
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Sequential Constructive Algorithm incorporate with Fuzzy Logic for Solving Real World Course Timetabling Problem
Published 2020“…Sequential constructive algorithm is one of the popular methods for solving timetabling problems. …”
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Implementation of Hybrid Indexing, Clustering and Classification Methods to Enhance Rural Development Programme in South Sulawesi
Published 2024“…Village development and assistance program is a strategy implemented to accelerate socio cultural development to increase the capacity of village governance and more organized administration. …”
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Parallel Implementation of Two Level Barotropic Models Applied to the Weather Prediction Problem
Published 2004“…Then the parallel algorithms are constructed and run using the Beowulf Cluster machine. …”
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A coverage path planning approach for autonomous radiation mapping with a mobile robot
Published 2023Article -
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Optimised Crossover Genetic Algorithms for Combinatorial Optimisation Problems
Published 2010“…A Genetic Algorithm is successful in generating near -optimal solutions if it is able to produce o®spring during crossover that is better than the parent solutions. …”
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Enhanced Intelligent Water Drops Algorithm for University Examination Timetabling Problems
Published 2024“…(iii) It is a constructive-based meta-heuristic algorithm which means, the solution is incrementally constructed (step by step) until the complete solution is obtained (Noferesti and Shah-Hosseini, 2012). …”
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Centered fan field region under wedge indentation by numerical solution method
Published 2019“…The stress field obtained were then compared to the analytical solution. This solution method provides a simple algorithms that is easy to be applied in deformation and this will subsequently provide a contribution in designing tools and the construction industries involving granular materials.…”
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Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform
Published 2009“…The development of this architecture is based on several programming language as it involves algorithm implementation on C, parallelization using Parallel Virtual Machine (PVM) and Java for web services development. …”
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Feature clustering for pso-based feature construction on high-dimensional data
Published 2019“…The Redundancy-Based Feature Clustering (RFC) algorithm was applied to choose the most informative features from the original data, while PSO was used to construct new features from those selected by RFC. …”
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Development of a Negotiation Support Model for Value Management in Construction
Published 2009“…It combines simultaneous triangulation by using case studies and survey methods and sequential triangulation in which results of one method are essential in planning the next method (theoretical mapping, survey research, focus group, case study and conceptual modeling). …”
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Ball surface representations using partial differential equations
Published 2015“…Hence, this new algorithm is a viable alternative for constructing generalized Ball surfaces. …”
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An evaluation of Monte Carlo-based hyper-heuristic for interaction testing of industrial embedded software applications.
Published 2020“…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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Genetic algorithm techniques for the design of nonlinear microwave circuits
Published 2004“…By using Sample Balance's differential of current linear and nonlinear equation as an objective function, a Genetic Algorithm routine then been constructed. Genetic Algorithm will then recombine, mutate and evaluate the population of solution to find the best solution based on Sample balance equation. …”
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