A Modified Hybrid IWO/PSO Algorithm for Fast and Global Optimization
عنوان مقاله: A Modified Hybrid IWO/PSO Algorithm for Fast and Global Optimization
شناسه ملی مقاله: ICNMO01_237
منتشر شده در کنفرانس بین المللی مدل سازی غیر خطی و بهینه سازی در سال 1391
شناسه ملی مقاله: ICNMO01_237
منتشر شده در کنفرانس بین المللی مدل سازی غیر خطی و بهینه سازی در سال 1391
مشخصات نویسندگان مقاله:
Milad K.Mostafapour - Damghan University
Akbar H. Borzabadi
Seyed Hashem Tabasi
خلاصه مقاله:
Milad K.Mostafapour - Damghan University
Akbar H. Borzabadi
Seyed Hashem Tabasi
This Paper presents the comparison results on the performance of the modified Hybrid IWO/PSO algorithm for fast and global optimization. IWO/PSO algorithm originates from Invasive Weed Optimization (IWO) and Particle Swarm Optimization (PSO). The efficiency of this algorithm both in the case of speed of convergence and optimality of the results are compared with IWO, PSO, and IWO/PSO through a number of common multi-dimensional benchmark function. Experimental results indicate that proposed approach is competitive as compared to other algorithms such as IWO, PSO, and Hybrid IWO/PSO
کلمات کلیدی: Evolutionary Algorithms, Invasive Weed Optimization, Particle Swarm Optimization, Hybrid IWO/PSO
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/187829/