Amir Seyyedabbasi

According to our database, Amir Seyyedabbasi authored at least 14 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2025

V-shaped and S-shaped binary artificial protozoa optimizer (APO) algorithm for wrapper feature selection on biological data.

Amir Seyyedabbasi, Gang Hu, Hisham A. Shehadeh, Xiaopeng Wang, Peren Jerfi Canatalay

Clust. Comput., June, 2025

2024

An Effective Hybrid Metaheuristic Algorithm for Solving Global Optimization Algorithms.

Amir Seyyedabbasi, Wadhah Zeyad Tareq Tareq, Nebojsa Bacanin

Multim. Tools Appl., November, 2024

Optimal Nodes Localization in Wireless Sensor Networks Using Nutcracker Optimizer Algorithms: Istanbul Area.

Nabil Neggaz, Amir Seyyedabbasi, Abdelazim G. Hussien, Mekki Rahim, Mehmet Beskirli

IEEE Access, 2024

2023

Sand Cat swarm optimization: a nature-inspired algorithm to solve global optimization problems.

Amir Seyyedabbasi, Farzad Kiani

Eng. Comput., August, 2023

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

Bahman Arasteh, Amir Seyyedabbasi, Jawad Rasheed, Adnan M. Abu-Mahfouz

Symmetry, February, 2023

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

Sajjad Nematzadeh, Mahsa Torkamanian-Afshar, Amir Seyyedabbasi, Farzad Kiani

Neural Comput. Appl., 2023

A reinforcement learning-based metaheuristic algorithm for solving global optimization problems.

Amir Seyyedabbasi

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.

Amir Seyyedabbasi

Adv. Eng. Softw., 2022

2021

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

Farzad Kiani, Amir Seyyedabbasi, Royal Aliyev, Murat Ugur Gulle, Hasan Basyildiz, Mohammed Ahmed Shah

Neural Comput. Appl., 2021

Hybrid algorithms based on combining reinforcement learning and metaheuristic methods to solve global optimization problems.

Amir Seyyedabbasi, Royal Aliyev, Farzad Kiani, Murat Ugur Gulle, Hasan Basyildiz, Mohammed Ahmed Shah

Knowl. Based Syst., 2021

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

Amir Seyyedabbasi, Farzad Kiani

Eng. Comput., 2021

2020

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

Amir Seyyedabbasi

PhD thesis, 2020

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

Amir Seyyedabbasi, Farzad Kiani

Microprocess. Microsystems, 2020

HEEL: A new clustering method to improve wireless sensor network lifetime.

Amir Seyyedabbasi, Gulustan Dogan, Farzad Kiani

IET Wirel. Sens. Syst., 2020