Search Results - (( software estimation method algorithm ) OR ( parallel optimization path algorithm ))
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Tool path generation of contour parallel based on ant colony optimisation
Published 2016“…An Ant Colony Optimisation (ACO) method is used to optimize the tool path length because of its capability to find the shortest tool path length. …”
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Minimizing machining airtime motion with an ant colony algorithm
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LEMABE: a novel framework to Improve analogy-based software cost estimation using learnable evolution model
Published 2021“…Then, MMRE, PRED (0.25), and MdMRE criteria have been used to evaluate and compare the proposed method against other evolutionary algorithms. Employing the proposed method showed considerable improvement in estimating software cost estimation.…”
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Restoration planning strategy of transmission system based on optimal energizing time of sectionalizing islands / Dian Najihah Abu Talib
Published 2019“…There are two discrete optimization techniques used in this work, which are the Artificial Bee Colony algorithm and Evolutionary Programming. …”
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Software effort estimation using machine learning technique
Published 2023“…These methods are now used by the software development industry for software estimating with the goal of overcoming the limitations of parametric and conventional estimation techniques and advancing projects. …”
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A review article on software effort estimation in agile methodology
Published 2021“…Therefore, this study aimed to ascertain the software effort estimation method that is applied in Agile, the implementation approach, and the attributes that affect effort estimation. …”
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A review article on software effort estimation in agile methodology
Published 2021“…Therefore, this study aimed to ascertain the software effort estimation method that is applied in Agile, the implementation approach, and the attributes that affect effort estimation. …”
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Effort Estimation Model for Function Point Measurement
Published 2007“…The process starts with the planning phase activities and refined throughout the development. Various cost estimation models and methods are available to be used for software development process. …”
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Stator resistance estimation of induction motor using genetic algorithm
Published 2012“…In order to solve this issue, a genetic algorithm method is designed to estimate the variation of stator resistance. …”
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Undergraduates Project Papers -
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Trend analysis of software engineering scientific publications
Published 2019“…The estimation of the future trend is done by development of the algorithm linear regression algorithm in Matlab. …”
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Depth linear discrimination-oriented feature selection method based on adaptive sine cosine algorithm for software defect prediction
Published 2024“…Software Defect Prediction (SDP) plays a vital role in the software development life cycle as it helps identify and fix software defects. …”
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Application of genetic algorithm for fuzzy rules optimization on semi expert judgment automation using Pittsburg approach
Published 2023Subjects:Article -
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Multifunctional optimized group method data handling for software effort estimation
Published 2022“…Group Method of Data Handling (GMDH) algorithms have been widely used for modelling and identifying complex systems and potentially applied in software effort estimation. …”
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A novel large-bit-size architecture and microarchitecture for the implementation of Superscalar Pipeline VLIW microprocessors
Published 2008“…Different adder architectures are investigated for suitability on synthesis implementation of large data bus size adder for efficient usage within the ALU. An adder algorithm using repetitive constructs in a parallel algorithm that allows for efficient and optimal synthesis for large data bus size is proposed as a suitable implementation for the adder within the ALU. …”
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Optimization of COCOMO model using particle swarm optimization
Published 2021“…Software effort and cost estimation are crucial parts of software project development. …”
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Multilevel optimization for dense motion estimation
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Estimating Marine CSEM Responses Using Gaussian Process Regression Based on Synthetic Models
Published 2022“…The resulting error measurements and the computational time revealed that GPR can estimate the marine CSEM responses efficiently and at par to the current methods. …”
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