Recent Advances in Harris Hawks Optimization: A Comparative Study and Applications حسب Hussie, Abdelazim

"…The Harris hawk optimizer is a recent population-based metaheuristics algorithm that simulates the hunting behavior of hawks. …"
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Artificial neural network algorithms. (c1999) حسب Ramadan, Samer N.

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Coronavirus herd immunity optimizer (CHIO) حسب Abou Doush, Iyad

"…In this paper, a new nature-inspired human-based optimization algorithm is proposed which is called coronavirus herd immunity optimizer (CHIO). …"
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An intensive and comprehensive overview of JAYA algorithm, its versions and applications حسب Abou Doush, Iyad

"…The JAYA algorithm combines the survival of the fittest principle from evolutionary algorithms as well as the global optimal solution attractions of Swarm Intelligence methods. …"
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Evolutionary algorithms, simulated annealing and tabu search: a comparative study حسب Youssef, H.

"…Abstract Evolutionary algorithms, simulated annealing (SA), and tabu search (TS) are general iterative algorithms for combinatorial optimization. …"
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Hybrid Cooperative Co-evolution for Large Scale Optimization حسب El-Abd, Mohammed

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Best Polynomial Harmony Search with Best β-Hill Climbing Algorithm حسب Abu Doush, Iyad

"…Furthermore, the two proposed algorithms are compared against four versions of particle swarm optimization (PSO). …"
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Chapter 19 - Metaheuristics for optimizing weights in neural networks حسب Abu Doush, Iyad

"…To avoid these problems, the process of the gradient-based mechanism is replaced by a recent metaheuristic swarm-based method called horse herd optimization algorithm (HOA). …"
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A modified ant colony algorithm for evolutionary design of digital circuits حسب Sait, Sadiq M.

"…In this paper, a multiobjective optimization of logic circuits based on a modified ant colony (ACO) algorithm is presented. …"
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Comparative analysis of metaheuristic load balancing algorithms for efficient load balancing in cloud computing حسب Jincheng Zhou (1887307)

"…The simulation results show the performance of various Meta-heuristic Load balancing methods, based on performance factors. The Particle swarm optimization method performs better in improving makespan, flow time, throughput time, response time, and degree of imbalance.…"

An enhanced binary artificial rabbits optimization for feature selection in medical diagnosis حسب Al-Betar, Mohammed Azmi

"…ARO is a recent swarm-based optimization algorithm that mimics rabbits’ natural survival tactics and eating habits. …"
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Optimal location and sizing of renewable distributed generations and electric vehicle charging stations حسب Guindi, Marina

"…The study introduces several constraints, including the placement of EVCSs and RDGs at separate buses, and employs particle swarm optimization and cuckoo search algorithm to simultaneously determine the optimal locations and sizes of the RDGs and the optimal locations of the EVCSs. …"
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An Incentivized and Optimized Dynamic Mechanism for Demand Response for Managing Voltage in Distribution Networks حسب Md Moktadir Rahman (16904751)

"…An improved hybrid particle swarm optimization algorithm (IHPSO) is proposed for the load controller to provide fast convergence and robust optimization results. …"

Nonlinear clustering optimization for scalable data mining in cloud and quantum computing environments حسب Manjula, S.

"…The article outlines an optimization model of nonlinear clustering that could strike a balance between the use of the complex mathematical models and scalability to the cloud and quantum computing systems. …"
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Hybrid quantum–cloud framework for nonlinear clustering optimization and intelligent resource management حسب Abdullayev, Ilyos

"…These weaknesses will be mitigated by the proposed framework that will integrate quantum-inspired algorithms (which will operate on variational quantum circuits and Quantum Approximate Optimization Algorithm (QAOA)) with cloud-native orchestration solutions, only that reinforcement learning-based scheduling will be integrated. …"
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Defense against adversarial attacks: robust and efficient compressed optimized neural networks حسب Insaf Kraidia (19198012)

"…First, introducing a pioneering batch-cumulative approach, the exponential particle swarm optimization (ExPSO) algorithm was developed for meticulous parameter fine-tuning within each batch. …"

Data-driven robust model predictive control for greenhouse temperature control and energy utilisation assessment حسب Farhat Mahmood (15468854)

"…A robust model predictive control strategy, based on the minimax objective function and particle swarm optimisation algorithm, is developed to handle the uncertainties in the system. …"

Shape and sizing optimisation of space truss structures using a new cooperative coevolutionary-based algorithm حسب Dehkordi, Amin Abdollahi

"…This novel alternative optimisation strategy (CCMPA-GS) compared with 13 established genetic, evolutionary, swarm, and memetic meta-heuristic optimisation algorithms. …"
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A High‐Performance MPPT Solution for Solar DC Microgrids: Leveraging the Hippopotamus Algorithm for Greater Efficiency and Stability حسب Debabrata Mazumdar (18560506)

"…Performance of HA's is compared with three established optimization algorithms: Grey Wolf Optimization, Cuckoo Search Algorithm and Particle‐Swarm Optimization across different operating scenarios and partial shading circumstances. …"

Data of simulation model for photovoltaic system's maximum power point tracking using sequential Monte Carlo algorithm حسب Odat, Alhaj-Saleh A.

"…The model aims to compare the performance of classical perturb and observe (P&O) algorithm, particle swarm optimization (PSO) algorithm, flower pollination algorithm (FPA), and SMC-based tracking techniques. …"
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