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Amir Seyyedabbasi
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2020 – today
- 2024
- [j12]Nabil Neggaz
, Amir Seyyedabbasi
Optimal Nodes Localization in Wireless Sensor Networks Using Nutcracker Optimizer Algorithms: Istanbul Area. IEEE Access 12: 67986-68002 (2024) - [j11]Amir Seyyedabbasi, Wadhah Zeyad Tareq Tareq, Nebojsa Bacanin:
An Effective Hybrid Metaheuristic Algorithm for Solving Global Optimization Algorithms. Multim. Tools Appl. 83(37): 85103-85138 (2024) - 2023
- [j10]Amir Seyyedabbasi
A reinforcement learning-based metaheuristic algorithm for solving global optimization problems. Adv. Eng. Softw. 178: 103411 (2023) - [j9]Amir Seyyedabbasi
Sand Cat swarm optimization: a nature-inspired algorithm to solve global optimization problems. Eng. Comput. 39(4): 2627-2651 (2023) - [j8]Sajjad Nematzadeh
Maximizing coverage and maintaining connectivity in WSN and decentralized IoT: an efficient metaheuristic-based method for environment-aware node deployment. Neural Comput. Appl. 35(1): 611-641 (2023) - [j7]Bahman Arasteh
Program Source-Code Re-Modularization Using a Discretized and Modified Sand Cat Swarm Optimization Algorithm. Symmetry 15(2): 401 (2023) - 2022
- [j6]Amir Seyyedabbasi
WOASCALF: A new hybrid whale optimization algorithm based on sine cosine algorithm and levy flight to solve global optimization problems. Adv. Eng. Softw. 173: 103272 (2022) - 2021
- [j5]Amir Seyyedabbasi
I-GWO and Ex-GWO: improved algorithms of the Grey Wolf Optimizer to solve global optimization problems. Eng. Comput. 37(1): 509-532 (2021) - [j4]Amir Seyyedabbasi
Hybrid algorithms based on combining reinforcement learning and metaheuristic methods to solve global optimization problems. Knowl. Based Syst. 223: 107044 (2021) - [j3]Farzad Kiani
Adapted-RRT: novel hybrid method to solve three-dimensional path planning problem using sampling and metaheuristic-based algorithms. Neural Comput. Appl. 33(22): 15569-15599 (2021) - 2020
- [b1]Amir Seyyedabbasi:
Improvement of energy efficient in low power wireless sensor networks (Düşük güçlü kablosuz sensör ağlarında enerji verimliliğinin artırılması). İstanbul Sabahattin Zaim University, Turkey, 2020 - [j2]Amir Seyyedabbasi
HEEL: A new clustering method to improve wireless sensor network lifetime. IET Wirel. Sens. Syst. 10(3): 130-136 (2020) - [j1]Amir Seyyedabbasi
MAP-ACO: An efficient protocol for multi-agent pathfinding in real-time WSN and decentralized IoT systems. Microprocess. Microsystems 79: 103325 (2020)
Coauthor Index
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last updated on 2024-12-10 20:46 CET by the dblp team
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