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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 31–40 of 69 papers

TitleStatusHype
A data-driven rutting depth short-time prediction model with metaheuristic optimization for asphalt pavements based on RIOHTrack—0
AutoOptLib: Tailoring Metaheuristic Optimizers via Automated Algorithm DesignCode1
Learning Large Neighborhood Search for Vehicle Routing in Airport Ground HandlingCode1
A Study of Left Before Treatment Complete Emergency Department Patients: An Optimized Explanatory Machine Learning Framework—0
An Adaptive Simulated Annealing-Based Machine Learning Approach for Developing an E-Triage Tool for Hospital Emergency Operations—0
HiveNAS: Neural Architecture Search using Artificial Bee Colony OptimizationCode0
A metaheuristic multi-objective interaction-aware feature selection method—0
Nature Inspired Metaheuristic Effectiveness Used in Phishing Intrusion Detection Systems with Grey Wolf Algorithm Techniques—0
A novel computational technique using coefficient diagram method for load frequency control in an interconnected power system—0
AutoOpt: A General Framework for Automatically Designing Metaheuristic Optimization Algorithms with Diverse StructuresCode1
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