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Improved Cuckoo Search and Chaotic Flower Pollination optimization algorithm for maximizing area coverage in Wireless Sensor Networks.

, , , and . Neural Comput. Appl., 30 (7): 2305-2317 (2018)

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