Search Results - parallel generation ((from algorithm) OR (force algorithm))
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1
Application of inerter in passenger vehicle suspension systems / Soong Ming Foong
Published 2015“…Inerter is a suspension element with the property that the force generated at its two terminals is directly proportional to the relative acceleration between the terminals, similar to the way a spring reacts to relative displacement and a damper to relative velocity. …”
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2
Improved criteria determination of an automated negative lightning return strokes characterisation using Brute-Force search algorithm
Published 2021“…Accordingly, the proposed Brute-Force search algorithm characterised the negative lightning return strokes parameters based on the seven parameters. …”
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3
Multi-objectives process optimization in end milling process of aluminium alloy 6061-T6 using genetic algorithm
Published 2024“…The optimum parameters were determined according to the design flow, constraints value and mathematical algorithm. Based on MOGA-II analysis, every workflow generated 1600 feasible solutions for optimization that meet the design space requirement. …”
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4
Regenerative braking strategy for electric vehicles using improved adaptive genetic algorithm
Published 2017“…One uses Standard Genetic Algorithm (SGA), the second strategy uses Improved Adaptive Genetic Algorithm (IAGA). …”
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5
The visualization of three dimensional brain tumors' growth on distributed parallel computer systems
Published 2009“…A comparison of sequential and parallel algorithm will be discussed and this study will address the major issues of the parallel computers performance in terms of efficiency, effectiveness, speedup, and temporality.…”
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6
Sequential and parallel multiple tabu search algorithm for multiobjective urban transit scheduling problems
Published 2018“…Additionally, the MTS algorithm is also implemented in parallel computing to produce parallel MTS for generating comparable solutions in shorter computational times. …”
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7
Application of intelligence based genetic algorithm for job sequencing problem on parallel mixed-model assembly line
Published 2010“…A heuristic algorithm was introduced to generate the initial population for intelligence based genetic algorithm. …”
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8
Workflow optimization in distributed computing environment for stream-based data processing model / Saima Gulzar Ahmad
Published 2017“…The simulation results prove that proposed algorithms outperform from state of the art algorithms for variety of workflows. …”
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9
PID Parameters Improvement for AGC in Three Parallel-Connected Power Systems
Published 2016“…In this research, the automatic generation control (AGC) of three parallel-connected power plants is utilized to tune the proportional-integral-derivative (PID) controller using Multistart algorithm (MS). …”
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10
PMT : opposition based learning technique for enhancing metaheuristic algorithms performance
Published 2020“…Nevertheless, many metaheuristic algorithms are still suffering from a low convergence rate because of the poor balance between exploration (i.e. roaming new potential search areas) and exploitation (i.e., exploiting the existing neighbors). …”
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11
Development of an automatics parallel parking system for nonholonomic mobile robot
Published 2011“…A PIC32MX360F512L microcontroller is used in order to generate the algorithm and control the movement of the mobile robot. …”
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12
PMT: opposition-based learning technique for enhancing meta-heuristic performance
Published 2019“…Nevertheless, many meta-heuristic algorithms are still suffering from a low convergence rate because of the poor balance between exploration (i.e., roaming new potential search areas) and exploitation (i.e., exploiting the existing neighbors). …”
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13
Parallel system for abnormal cell growth prediction based on fast numerical simulation
Published 2010“…The predictor system depending on users input data via a user interface, generating the initial and boundary condition generated from parabolic or elliptic type of PDE. …”
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14
Deterministic Automatic Test Pattern Generation for Built-In Self Test System
Published 2006“…To illustrate that, the DATPG algorithm for digital combinational circuit using VHDL language is designed to generate the test patterns. …”
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15
Web based personalized university timetable for UiTM students using genetic algorithm / Mohd Radhi Fauzan Jamli and Ahmad Firdaus Ahmad Fadzil
Published 2024“…The proposed approach utilizes genetic algorithms to dynamically produce optimized timetables based on individual student needs, with real-time data scraping from 'iCRESS' ensuring the system stays up to date with the latest course information for accurate timetable generation. …”
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16
A Community-Based Fault Isolation Approach for Effective Simultaneous Localization of Faults
Published 2019“…Overall, 540 multiple-fault versions of these programs were generated with 2-5 faulty versions. The experimental results have demonstrated that the proposed approach performs significantly better in terms of localization effectiveness in comparison with two other parallel debugging approaches for locating multiple faults in parallel.…”
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17
Parallel processing in Compute Unified Device Architecture (CUDA) for energy saving glass
Published 2014“…In order to develop a complex coating structure, genetic algorithm technique is used in this research. However, genetic algorithm require a fast processing speed in order to cope with the process of creating new chromosome from the population and undergoes the selection, crossover and mutation operation processes. …”
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18
Review on unrelated parallel machine scheduling problem with additional resources
Published 2023“…Metaheuristic techniques exhibit significant effectiveness in generating results and surpassing other algorithms. …”
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19
Partitioning techniques and their parallelization for stiff system of ordinary differential equations
Published 2007“…Parallelizing the right algorithm in the partitioning code will give a better perfonnance with shorter execution times. …”
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20
A hybrid bat–swarm algorithm for optimizing dam and reservoir operation
Published 2019“…In addition, different optimization algorithms from previous studies are investigated to compare the performance of the proposed algorithm with existing algorithms for the same case study. …”
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