SI on parallel system and algorithm optimization
نویسندگان
چکیده
منابع مشابه
Comparing Parallel Simulated Annealing, Parallel Vibrating Damp Optimization and Genetic Algorithm for Joint Redundancy-Availability Problems in a Series-Parallel System with Multi-State Components
In this paper, we study different methods of solving joint redundancy-availability optimization for series-parallel systems with multi-state components. We analyzed various effective factors on system availability in order to determine the optimum number and version of components in each sub-system and consider the effects of improving failure rates of each component in each sub-system and impr...
متن کاملcomparing parallel simulated annealing, parallel vibrating damp optimization and genetic algorithm for joint redundancy-availability problems in a series-parallel system with multi-state components
in this paper, we study different methods of solving joint redundancy-availability optimization for series-parallel systems with multi-state components. we analyzed various effective factors on system availability in order to determine the optimum number and version of components in each sub-system and consider the effects of improving failure rates of each component in each sub-system and impr...
متن کاملEvolutionary algorithm for the parallel System Identification optimization
In this work we present a parallel algorithm inspired on the evolutionary methodologies, for high precision computation of system identification algorithms. The parallel algorithm will be used on the environment of control process engineering because it is very useful when the mathematical modelation of dynamic complex systems is neccessary. Because of the good results found with the algorithm ...
متن کاملOptimization of Agricultural BMPs Using a Parallel Computing Based Multi-Objective Optimization Algorithm
Beneficial Management Practices (BMPs) are important measures for reducing agricultural non-point source (NPS) pollution. However, selection of BMPs for placement in a watershed requires optimizing available resources to maximize possible water quality benefits. Due to its iterative nature, the optimization typically takes a long time to achieve the BMP trade-off results which is not desirable ...
متن کاملA hybrid global optimization algorithm based on parallel chaos optimization and outlook algorithm
Based on the analysis of the properties of tent map, parallel chaos optimization algorithm (PCOA) using logistic map and outlook algorithm, a hybrid global optimization algorithm (PCOOA) is presented. The algorithm is structured in two stages. The first stage uses parallel chaos optimization based on tent map for global search, while outlook algorithm is employed in the second stage for local s...
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ژورنال
عنوان ژورنال: CCF Transactions on High Performance Computing
سال: 2023
ISSN: ['2524-4922', '2524-4930']
DOI: https://doi.org/10.1007/s42514-023-00161-z