A Novel Cooperative Immune-Based Algorithm for Dynamic Optimization Problems
عنوان مقاله: A Novel Cooperative Immune-Based Algorithm for Dynamic Optimization Problems
شناسه ملی مقاله: ELCM03_067
منتشر شده در سومین کنفرانس بین المللی مهندسی برق، کامپیوتر و مکانیک در سال 1399
شناسه ملی مقاله: ELCM03_067
منتشر شده در سومین کنفرانس بین المللی مهندسی برق، کامپیوتر و مکانیک در سال 1399
مشخصات نویسندگان مقاله:
Bahareh Etaati - Department of Computer Engineering, Amirkabir University of Technology, No. ۴۲۴, Hafez Ave, Tehran, Iran
Hadi Ezatpanah Niaki - Department of Computer Engineering, Amirkabir University of Technology, No. ۴۲۴, Hafez Ave, Tehran, Iran
خلاصه مقاله:
Bahareh Etaati - Department of Computer Engineering, Amirkabir University of Technology, No. ۴۲۴, Hafez Ave, Tehran, Iran
Hadi Ezatpanah Niaki - Department of Computer Engineering, Amirkabir University of Technology, No. ۴۲۴, Hafez Ave, Tehran, Iran
environments. To efficiently exploit the search space, the algorithm divides each dimension into some regions, and each dimension is evaluated separately. Also, inspired by the immune memory concept, a memory-based approach is proposed to store and retrieve the most important information when a change occurs. Furthermore, to increase the convergence speed, a new clonal selection method is proposed. Lastly, the efficiency of the algorithm is compared to that of other immune-based algorithms on the MPB. The experimental results confirm that the proposed method is competitive to optimize dynamic problems.
کلمات کلیدی: Clonal selection algorithm, Negative selection mechanism, Artificial immune system, Dynamic optimization
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1128903/