1) Consider the code: CostFunction = @(x) Sphere(x); This indicates that, CostFunction is a function of x, which returns Sphere(x) as result. This notation is a function_handle and Anonymous Function notation in MATLAB. This way of declaration of Cost Function, enables us to connect an...
op... pso psogsa Acknowledgements Inspired by:gsa.m, Gravitational Search Algorithm (GSA) Community Treasure Hunt Find the treasuresin MATLAB Central and discover how community can help you! Start Hunting! Problem-Based Optimizationwith OptimizationToolbox Readnow × S...
All algorithms are implemented using the MATLAB R2019a with the same population size and maximum function evaluations of 40 and 100, respectively, to ensure a fair comparison. All experiments are herein conducted using a device with the following characteristics: 32 GB of RAM, Core i7 2.40 GHZ...
The realization of the OLBSSs is achieved using two different optimization techniques, namely, the genetic algorithms (GAs) and particle swarm optimization (PSO) method. The simulation results, based on MATLAB tool, have shown that the proposed long sequences, composed of Walsh–Hadamard ...
Unler, A., Murat, A., Chinnam, R.B.: mr2pso: a maximum relevance minimum redundancy feature selection method based on swarm intelligence for support vector machine classification. Inf. Sci. 181, 4625–4641 (2011) Article MATH Google Scholar Qin, X., Zhang, S., Dong, X., Shi, H....
The optimization strategy was implemented in the MATLAB platform, executed on a 2.30 GHz Intel (R) Core (TM) i5 CPU with 8 GB of RAM. The algorithms were run for a total of 200 iterations, and the results were subsequently averaged over 10 distinct trials. Case.1: IEEE 10-unit, 39 ...
The results of Matlab 2022a and OMNET environment tests have shown that the proposed method has increased the efficiency of energy consumption and reduced the period of instability and end-to-end delay. that the ratio of the instability period in the proposed method is much less than the other...
All experiments were conducted using Matlab R2022b, running on Intel Core i7 machine with 2.10 GHz CPU, 16.0GB RAM and Windows 11 operating system. The population size of each algorithm is set to 10, the maxi- mum number of iterations is 100, and the dimension of the search space is...
The proposed BCLPSO algorithm was encoded as a MATLAB code, made available for download at https://github.com/Rut44139/BCLPSO (accessed on 30 July 2023). 5.1. Example 1: Two-Bay, Three-Story Frame In Figure 5, example 1 depicts a two-bay, three-story frame under applied forces [52]...
The proposed BCLPSO algorithm was encoded as a MATLAB code, made available for download at https://github.com/Rut44139/BCLPSO (accessed on 30 July 2023). 5.1. Example 1: Two-Bay, Three-Story Frame In Figure 5, example 1 depicts a two-bay, three-story frame under applied forces [52]...