• P Siva Prasad
• M Sushama

To optimize the settings of the fuzzy logic system, these works introduce the Hybrids Weighed Quantum Particle Swarm Optimization (WQPSO) – Honey Bee (HB) Operation, which incorporates the advantages of the WQPSO as well as HB. Although WQPSO could swiftly identify optimum solutions therefore to directed finding as well as data exchanges, HB does have a greater random factor, making it easier to avoid local optimal and discover outcomes globally. As a result, the Hybrids WQPSO-HB System can discover optimum solutions fast similar to WQPSO while also avoiding local optimal like HB. Simulations outcomes show the efficiency of the suggested method, as well as it's capacity to provide high-quality results that meet WQPSO as well as HB.

Fuzzy Logic Controller; Hybrid WQPSO-HB Algorithm;

"DESIGNING A FUZZY LOGIC CONTROLLER SYSTEM USING A HYBRID WQPSO-HB ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 1, page no.d453-d462, January-2022, Available :http://www.jetir.org/papers/JETIR2201358.pdf

"DESIGNING A FUZZY LOGIC CONTROLLER SYSTEM USING A HYBRID WQPSO-HB ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 1, page no. ppd453-d462, January-2022, Available at : http://www.jetir.org/papers/JETIR2201358.pdf