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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 26–50 of 69 papers

TitleStatusHype
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
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
A Brief Overview of Physics-inspired Metaheuristic Optimization Techniques—0
Virtual reference feedback tuning with robustness constraints: A swarm intelligence solution—0
A stochastic metapopulation state-space approach to modeling and estimating Covid-19 spread—0
JANUS: Parallel Tempered Genetic Algorithm Guided by Deep Neural Networks for Inverse Molecular DesignCode1
Ebola Optimization Search Algorithm (EOSA): A new metaheuristic algorithm based on the propagation model of Ebola virus disease—0
Paradiseo: From a Modular Framework for Evolutionary Computation to the Automated Design of Metaheuristics ---22 Years of Paradiseo---Code1
Safety-enhanced UAV Path Planning with Spherical Vector-based Particle Swarm OptimizationCode1
A New K means Grey Wolf Algorithm for Engineering Problems—0
Multi-objective design of multilayer microwave dielectric filters using artificial bee colony algorithm—0
A Metaheuristic-Driven Approach to Fine-Tune Deep Boltzmann Machines—0
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