Search Results - (( programming sequence optimization algorithm ) OR ( java application reoptimize algorithm ))
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A filtering algorithm for efficient retrieving of DNA sequence
Published 2009“…The algorithm filtered the expected irrelevant DNA sequences in database from being computed for dynamic programming based optimal alignment process. …”
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A guided dynamic programming approach for DNA sequence similarity search
Published 2011“…Similarity search procedure is executed by an alignment process between query and targeted sequences. An optimal alignment process based on the dynamic programming algorithms has shown to have 0(n x m) time and space complexity. …”
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An optimal mesh algorithm for remote protein homology detection
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Optimizing Ram Testing Method For Test Time Saving Using Automatic Test Equipment
Published 2017“…The failing algorithm sequence of the units have been logged into database and analyzed for algorithm trimming. …”
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An optimized test case generation technique for enhancing state-sensitivity partitioning
Published 2017“…The scope of this work is testing a module with memory where each module may consist of several programs. The essence of enSSP is to combine the features of Genetic Algorithm (GA) with a suite reduction technique to achieve optimization. …”
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Potential of data minimization techniques approach in improving DNA sequences alignment and comparison / Syed Abdul Mutalib Al Junid … [et al.]
Published 2012“…This study will initially involve algorithm modification, mathematical formulation, logic design and simulation for data minimization and existing DNA sequences alignment algorithm. …”
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Application of intelligence based genetic algorithm for job sequencing problem on parallel mixed-model assembly line
Published 2010“…Then, it started to find the best sequence of jobs for each line based on the generated population by heuristic algorithm. …”
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New completion time algorithms for sequence based scheduling in multiproduct batch processes using matrix
Published 2008“…These models require good understanding in formulating the problem using programming techniques to find the optimal solution. …”
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Filtered Distance Matrix For Constructing High-Throughput Multiple Sequence Alignment On Protein Data
Published 2015“…Optimal MSA is an NP-hard problem, while building optimal alignment using dynamic programming is an NP complete problem. …”
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Optimization Of Two-Dimensional Dual Beam Scanning System Using Genetic Algorithms
Published 2008“…Also, this research involves in developing a machine-learning system and program via genetic algorithm that is capable of performing independent learning capability and optimization for scanning sequence using novel GA operators. …”
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Network reconfiguration and DG sizing incorporating optimal switching sequence for system improvement / Ola Subhi Waheed Badran
Published 2018“…The proposed network reconfiguration also considered load profiles, DG output generation, DG types, and DG operating mode to decrease the total daily power loss. The chosen optimization techniques in this work include evolutionary programming (EP), particle swarm optimization (PSO), gravitational Search Algorithm (GSA), and firefly algorithm (FA). …”
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A Novel Integrating Between Tool Path Optimization Using An ACO Algorithm And Interpreter For Open Architecture CNC System
Published 2021“…Furthermore, high-performing Ant Colony Optimization (ACO) algorithms were used to optimize the travel path time. …”
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Economical optimization of conductor selection in planning radial distribution networks
Published 1999“…A new computer algorithm and program is presented for selection of optimal conductor type and size for each feeder segment. …”
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Modification of particle swarm optimization algorithm for optimization of discrete values
Published 2011“…Stochastic optimization algorithms are a new breed of optimizers that have recently been developed. …”
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ECONOMICAL OPTIMIZATION OF CONDUCTOR SELECTION IN PLANNING RADIAL DISTRIBUTION NETWORKS
Published 1999“…A new computer algorithm and program is presented for selection of optimal conductor type and size for each feeder segment. …”
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Flock optimization algorithm-based deep learning model for diabetic disease detection improvement
Published 2024“…The collected data is processed by a Gaussian filtering approach that eliminates irrelevant information, reducing the overfitting issues. Then flock optimization algorithm is applied to detect the sequence; this process is used to reduce the convergence and optimization problems. …”
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