Amir Seyyedabbasi

Orcid: 0000-0001-5186-4499

According to our database1, Amir Seyyedabbasi authored at least 11 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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PhD thesis 
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Links

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Bibliography

2023
Sand Cat swarm optimization: a nature-inspired algorithm to solve global optimization problems.
Eng. Comput., August, 2023

Program Source-Code Re-Modularization Using a Discretized and Modified Sand Cat Swarm Optimization Algorithm.
Symmetry, February, 2023

Maximizing coverage and maintaining connectivity in WSN and decentralized IoT: an efficient metaheuristic-based method for environment-aware node deployment.
Neural Comput. Appl., 2023

A reinforcement learning-based metaheuristic algorithm for solving global optimization problems.
Adv. Eng. Softw., 2023

2022
WOASCALF: A new hybrid whale optimization algorithm based on sine cosine algorithm and levy flight to solve global optimization problems.
Adv. Eng. Softw., 2022

2021
Adapted-RRT: novel hybrid method to solve three-dimensional path planning problem using sampling and metaheuristic-based algorithms.
Neural Comput. Appl., 2021

Hybrid algorithms based on combining reinforcement learning and metaheuristic methods to solve global optimization problems.
Knowl. Based Syst., 2021

I-GWO and Ex-GWO: improved algorithms of the Grey Wolf Optimizer to solve global optimization problems.
Eng. Comput., 2021

2020
Improvement of energy efficient in low power wireless sensor networks (Düşük güçlü kablosuz sensör ağlarında enerji verimliliğinin artırılması)
PhD thesis, 2020

MAP-ACO: An efficient protocol for multi-agent pathfinding in real-time WSN and decentralized IoT systems.
Microprocess. Microsystems, 2020

HEEL: A new clustering method to improve wireless sensor network lifetime.
IET Wirel. Sens. Syst., 2020


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