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Metaheuristic Optimization

In computer science and mathematical optimization, a metaheuristic is a higher-level procedure or heuristic designed to find, generate, or select a heuristic (partial search algorithm) that may provide a sufficiently good solution to an optimization problem. For some examples, you can visit https://aliasgharheidari.com/Publications.html

Papers

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Showing 41–50 of 69 papers

TitleStatusHype
Optimized Three Deep Learning Models Based-PSO Hyperparameters for Beijing PM2.5 Prediction—0
Optimizing Interplanetary Trajectories using Hybrid Meta-heuristic—0
Optimizing Software Effort Estimation Models Using Firefly Algorithm—0
Parameter Identification for Electrochemical Models of Lithium-Ion Batteries Using Bayesian Optimization—0
Performance Analysis of Metaheuristic Optimization Algorithms in Estimating the Interfacial Heat Transfer Coefficient on Directional Solidification—0
PSO-based Sliding Mode Current Control of Grid-Forming Inverter in Rotating Frame—0
Social Distancing Induced Coronavirus Optimization Algorithm (COVO): Application to Multimodal Function Optimization and Noise Removal—0
Virtual reference feedback tuning with robustness constraints: A swarm intelligence solution—0
The Paradox of Success in Evolutionary and Bioinspired Optimization: Revisiting Critical Issues, Key Studies, and Methodological Pathways—0
Time to Stop and Think: What kind of research do we want to do?—0
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