From post

A bi-population Genetic algorithm based on multi-objective optimization for a relocation scheme with target coverage constraints in mobile wireless sensor networks.

, , , , , и . Expert Syst. Appl., (мая 2023)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

 

Другие публикации лиц с тем же именем

Improved Cuckoo Search and Chaotic Flower Pollination optimization algorithm for maximizing area coverage in Wireless Sensor Networks., , , и . Neural Comput. Appl., 30 (7): 2305-2317 (2018)An On-Demand Charging for Connected Target Coverage in WRSNs Using Fuzzy Logic and Q-Learning., , , , и . Sensors, 21 (16): 5520 (2021)Corrigendum to Ä bi-population genetic algorithm based on multi-objective optimization for a relocation scheme with target coverage constraints" Expert Syst. Appl. 217 (2023) 119486., , , , , и . Expert Syst. Appl., (августа 2023)A bi-population Genetic algorithm based on multi-objective optimization for a relocation scheme with target coverage constraints in mobile wireless sensor networks., , , , , и . Expert Syst. Appl., (мая 2023)Metaheuristics for maximization of obstacles constrained area coverage in heterogeneous wireless sensor networks., , , , и . Appl. Soft Comput., (2020)On the Global Maximization of Network Lifetime in Wireless Rechargeable Sensor Networks., , , , и . ACM Trans. Sens. Networks, 18 (4): 71:1-71:29 (ноября 2022)Extending Network Lifetime by Exploiting Wireless Charging in WSN., , и . RIVF, стр. 1-6. IEEE, (2020)Q-learning-based, Optimized On-demand Charging Algorithm in WRSN., , , и . NCA, стр. 1-8. IEEE, (2020)