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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
A data-driven rutting depth short-time prediction model with metaheuristic optimization for asphalt pavements based on RIOHTrack—0
A general Framework for Utilizing Metaheuristic Optimization for Sustainable Unrelated Parallel Machine Scheduling: A concise overview—0
A Metaheuristic-Driven Approach to Fine-Tune Deep Boltzmann Machines—0
A metaheuristic multi-objective interaction-aware feature selection method—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
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