The key idea is to utilize the existing optimization algorithm called NSGA-II and modifying the algorithm to work parallel computing using parallel genetic algorithm. In this proposed work, various investigations such as efficient placement of virtual machine on the physical machine is being carried ...
Error in parallel computing for optimization of... Learn more about genetic algorithm, parallel computing, optimization, simulink Global Optimization Toolbox, Parallel Computing Toolbox, Simulink
I am using the genetic algorithm function "ga()" in MATLAB to optimize operating parameters of a Simulink model. The decision variables are several parameters of the Simulink model. The output of the fitness function is calculated by the Simulink model (The ...
Issues with running genetic algorithm (GA) in... Learn more about run genetic algorithm in parallel MATLAB
Dynamic scheduling of data using genetic algorithm in cloud computing. Int J Adv Engg & Tech 2013;5(2):327-34.A. Kaleeswaran, V. Ramasam y, P. Vivekanandan. DYNAMIC SCHEDULING OF DATA USING GENETIC ALGORITHM IN CLOUD COMPUTING. India IUP, 2013....
A genetic algorithm accepts complex problems, including discontinuities and nonlinear formulations, and allows for parallel computation, which permits computing Pareto solutions. Furthermore, it only stores the results of the last population, reducing the memory resources required for its implementation. ...
Clustering-Based Parallel Genetic Algorithm (CBPGA) in optimization problems is one of the solutions of this problem. That the initial population is crossing points and subdividing in each step is according to mutation. After labeling all of crossing points, selecting is according to polytope that ...
Custom Output Function for Genetic Algorithm This example shows the use of a custom output function in ga. Custom Data Type Optimization Using the Genetic Algorithm Solve a traveling salesman problem using a custom data type. Optimize ODEs in Parallel Save time by calling an expensive subroutine...
YS Jiang and WM Chen, "Task scheduling for grid computing systems using a genetic Algorithm," Journal of Supercomputing, 71(4), pp. 1357-1377, April, 2015. Article (CrossRef Link)Jiang, Y.S., Chen, W.M.: Task scheduling for grid computing systems using a genetic algorithm. J. ...
It also provides a real-time reputation that can be used to evaluate the reliability of each task directly using the exponential failure model. Based on the RD reputation, we propose the look-ahead genetic algorithm (LAGA) to intelligently optimize both the makespan and the reliability for a ...