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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 51–60 of 69 papers

TitleStatusHype
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
Water and Electricity Consumption Forecasting at an Educational Institution using Machine Learning models with Metaheuristic Optimization—0
Metaheuristic optimization of power and energy systems: underlying principles and main issues of the 'rush to heuristics'—0
Multi-objective design of multilayer microwave dielectric filters using artificial bee colony algorithm—0
Nature Inspired Metaheuristic Effectiveness Used in Phishing Intrusion Detection Systems with Grey Wolf Algorithm Techniques—0
Optimization of Convolutional Neural Network Hyperparameter for Medical Image Diagnosis using Metaheuristic Algorithms: A short Recent Review (2019-2022)—0
Optimization through In-Context Learning and Iterative LLM Prompting for Nuclear Engineering Design Problems—0
Optimized Three Deep Learning Models Based-PSO Hyperparameters for Beijing PM2.5 Prediction—0
Optimizing Interplanetary Trajectories using Hybrid Meta-heuristic—0
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