Pelican Optimization Algorithm: A Novel Nature-Inspired Algorithm for Engineering Applications

Article Computer Science, Information Systems

Hybrid metaheuristic algorithm for optimal cluster head selection in wireless sensor network

Rakesh Kumar Yadav et al.

Summary: This paper proposes a new energy aware CH selection framework via hierarchical routing in WSN using a hybrid optimization algorithm. The PDUSLnO algorithm combines SLnO and PSO concepts to select the optimal CH, aiming to improve network performance and prolong network lifetime compared to traditional models.

PERVASIVE AND MOBILE COMPUTING (2022)

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Article Computer Science, Artificial Intelligence

An evolutionary lion optimization algorithm-based image compression technique for biomedical applications

Karuppaiah Geetha et al.

Summary: A VQ codebook construction approach called the L2-LBG method utilizing Lion optimization algorithm and Lempel Ziv Markov chain Algorithm was proposed. Experimental results showed that this method achieved a higher compression ratio and PSNR value compared to other algorithms, providing a better quality reconstructed image.

EXPERT SYSTEMS (2021)

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Article Computer Science, Artificial Intelligence

Archimedes optimization algorithm: a new metaheuristic algorithm for solving optimization problems

Fatma A. Hashim et al.

Summary: The paper introduces a new metaheuristic algorithm called Archimedes Optimization Algorithm (AOA), which is inspired by Archimedes' Principle in physics. Experimental results show that AOA outperforms other state-of-the-art metaheuristic algorithms in terms of convergence speed and exploration-exploitation balance, making it a high-performance optimization tool for solving complex problems.

APPLIED INTELLIGENCE (2021)

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Article Computer Science, Artificial Intelligence

Battle royale optimization algorithm

Taymaz Rahkar Farshi

Summary: This study introduces a new metaheuristic optimization algorithm BRO inspired by the battle royale game genre. Experimental results on 19 benchmark optimization functions and the inverse kinematics problem show that the proposed algorithm is competitive and efficient in terms of convergence and accuracy.

NEURAL COMPUTING & APPLICATIONS (2021)

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Article Computer Science, Interdisciplinary Applications

Aquila Optimizer: A novel meta-heuristic optimization algorithm

Laith Abualigah et al.

Summary: This paper introduces a novel population-based optimization method, AO, inspired by the behaviors of eagles during hunting. Through a series of experiments, the superior performance of AO in finding optimal solutions for various problems is demonstrated and compared with other meta-heuristic methods.

COMPUTERS & INDUSTRIAL ENGINEERING (2021)

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Article Computer Science, Artificial Intelligence