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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
Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level OptimizationCode0
Social Distancing Induced Coronavirus Optimization Algorithm (COVO): Application to Multimodal Function Optimization and Noise Removal—0
Boosting the Efficiency of Metaheuristics Through Opposition-Based Learning in Optimum Locating of Control Systems in Tall Buildings—0
Enhancing CNN Classification with Lamarckian Memetic Algorithms and Local Search—0
Metaheuristics is All You Need—0
Water and Electricity Consumption Forecasting at an Educational Institution using Machine Learning models with Metaheuristic Optimization—0
HRA: A Multi-Criteria Framework for Ranking Metaheuristic Optimization Algorithms—0
Multistep Brent Oil Price Forecasting with a Multi-Aspect Meta-heuristic Optimization and Ensemble Deep Learning Model—0
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
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