Search Results - (( _ formulation based algorithm ) OR ( based constructive method algorithm ))
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1
Multi-base number representation in application to scalar multiplication and pairing computation
Published 2011“…Multi-bases number representation is used to construct new versions of Miller’s algorithm. …”
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2
Identifying Students' Summary Writing Strategies Using Summary Sentence Decomposition Algorithm
Published 2011“…We first analyzed experts' written summaries, extracted the strategies used in the summaries, formulated a set of heuristics rules to define the strategies and finally transformed the rules using position-based method into summary sentence decomposition algorithm (SSDA). …”
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A multi-depot dynamic vehicle routing problem with stochastic road capacity: an MDP model and dynamic policy for post-decision state rollout algorithm in reinforcement learning
Published 2022“…Then, at the end, a decision is made by the agent. Five types of constructive base heuristics are proposed for the PDS-RA. …”
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4
Fast Finite Difference Time Domain Algorithms for Solving Antenna Application Problem
Published 2008“…In parallel implementation, techniques such as static scheduling, data decomposition and load balancing is used. Based on experimental results and complexity analysis, these new sequential and parallel algorithms are compared with the standard sequential and parallel FDTD algorithms, respectively. …”
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5
Artificial Robust Control of Robot Arm: Design a Novel SISO Backstepping Adaptive Lyapunov Based Variable Structure Control.
Published 2011“…This paper examines single input single output (SISO) chattering free variable structure control (VSC) which controller coefficient is on-line tuned by fuzzy backstepping algorithm. VSC methodology is selected as a framework to construct the control law and address the stability and robustness of the close loop system based on Lyapunove formulation. …”
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Linear programming approach for scheduling sports league problems in Malaysia
Published 2017“…In order to solve the formulated LP model, we proposed several solution methods such as simplex and genetics algorithm. …”
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Variable Neighborhood Descent and Whale Optimization Algorithm for Examination Timetabling Problems at Universiti Malaysia Sarawak
Published 2025“…The model employs a two-level structure, where the first level uses standard soft constraints as the objective function to evaluate solution quality, while the second level dynamically adapts to faculty-specific preferences. A constructive algorithm was developed to generate an initial feasible solution, which was subsequently refined using two primary approaches to evaluate their efficiency: Iterative Threshold Pipe Variable Neighborhood Descent (IT-PVND), and a modified Whale Optimization Algorithm (WOA). …”
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8
Crossover and mutation operators of real coded genetic algorithms for global optimization problems
Published 2016“…This study is primarily aimed at investigating two issues in genetic algorithm (GA) and one issue in conformational search (CS) problems. …”
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9
Recursive construction of output-context fuzzy systems for the condition monitoring of electrical hotspots based on infrared thermography
Published 2015“…The proposed RCFS realizes the prominent distinctions in the output domain by using a self-organizing method. The termination of the recursive algorithm finds an effective rule base to achieve an accurate representation of the datasets. …”
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Adaptive GRNN for the modelling of dynamic plants
Published 2002“…These adaptation strategies are formulated based on the inherent advantageous features found in GRNN, such as highly localised pattern nodes, good interpolation capability, instantaneous learning, etc.. …”
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11
Computational approach via half-sweep and preconditioned aor for fractional diffusion
Published 2022“…We construct a preconditioned matrix based on the first matrix and develop a preconditioned accelerated over relaxation (PAOR) algorithm to achieve a high convergence solution. …”
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12
A multi-agent K-means with case-based reasoning for an automated quality assessment of software requirement specification
Published 2023“…Automating the quality assessment of Software Requirement Specification poses major challenges related to the need for advanced algorithms to extract the SRS quality features, interpret the context of the features, formulate accurate assessment metrics, and document the shortcomings as well as possible improvements. …”
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13
A multi-agent K-means with case-based reasoning for an automated quality assessment of software requirement specification
Published 2023“…Automating the quality assessment of Software Requirement Specification poses major challenges related to the need for advanced algorithms to extract the SRS quality features, interpret the context of the features, formulate accurate assessment metrics, and document the shortcomings as well as possible improvements. …”
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14
A multi-agent K-means with case-based reasoning for an automated quality assessment of software requirement specification
Published 2022“…Automating the quality assessment of Software Requirement Specification poses major challenges related to the need for advanced algorithms to extract the SRS quality features, interpret the context of the features, formulate accurate assessment metrics, and document the shortcomings as well as possible improvements. …”
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15
A multi-agent K-means with case-based reasoning for an automated quality assessment of software requirement specification
Published 2022“…Automating the quality assessment of Software Requirement Specification poses major challenges related to the need for advanced algorithms to extract the SRS quality features, interpret the context of the features, formulate accurate assessment metrics, and document the shortcomings as well as possible improvements. …”
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A multi-agent K-means with case-based reasoning for an automated quality assessment of software requirement specification
Published 2023“…Automating the quality assessment of Software Requirement Specification poses major challenges related to the need for advanced algorithms to extract the SRS quality features, interpret the context of the features, formulate accurate assessment metrics, and document the shortcomings as well as possible improvements. …”
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17
A multi-agent K-means with case-based reasoning for an automated quality assessment of software requirement specification
Published 2022“…Automating the quality assessment of Software Requirement Specification poses major challenges related to the need for advanced algorithms to extract the SRS quality features, interpret the context of the features, formulate accurate assessment metrics, and document the shortcomings as well as possible improvements. …”
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18
A multi-agent K-means with case-based reasoning for an automated quality assessment of software requirement specification
Published 2023“…Automating the quality assessment of Software Requirement Specification poses major challenges related to the need for advanced algorithms to extract the SRS quality features, interpret the context of the features, formulate accurate assessment metrics, and document the shortcomings as well as possible improvements. …”
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19
A multi-agent K-means with case-based reasoning for an automated quality assessment of software requirement specification
Published 2023“…Automating the quality assessment of Software Requirement Specification poses major challenges related to the need for advanced algorithms to extract the SRS quality features, interpret the context of the features, formulate accurate assessment metrics, and document the shortcomings as well as possible improvements. …”
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