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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 21–30 of 69 papers

TitleStatusHype
LLaMEA: A Large Language Model Evolutionary Algorithm for Automatically Generating MetaheuristicsCode2
Parameter Identification for Electrochemical Models of Lithium-Ion Batteries Using Bayesian Optimization—0
JCLEC-MO: a Java suite for solving many-objective optimization engineering problems—0
Time to Stop and Think: What kind of research do we want to do?—0
Decomposing Hard SAT Instances with Metaheuristic Optimization—0
Dense Visual Odometry Using Genetic Algorithm—0
A general Framework for Utilizing Metaheuristic Optimization for Sustainable Unrelated Parallel Machine Scheduling: A concise overview—0
Comparative Evaluation of Metaheuristic Algorithms for Hyperparameter Selection in Short-Term Weather Forecasting—0
Differential Privacy May Have a Potential Optimization Effect on Some Swarm Intelligence Algorithms besides Privacy-preserving—0
Optimized Three Deep Learning Models Based-PSO Hyperparameters for Beijing PM2.5 Prediction—0
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