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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

Showing 4150 of 69 papers

TitleStatusHype
HiveNAS: Neural Architecture Search using Artificial Bee Colony OptimizationCode0
A metaheuristic multi-objective interaction-aware feature selection method0
Nature Inspired Metaheuristic Effectiveness Used in Phishing Intrusion Detection Systems with Grey Wolf Algorithm Techniques0
A novel computational technique using coefficient diagram method for load frequency control in an interconnected power system0
A Brief Overview of Physics-inspired Metaheuristic Optimization Techniques0
Virtual reference feedback tuning with robustness constraints: A swarm intelligence solution0
A stochastic metapopulation state-space approach to modeling and estimating Covid-19 spread0
Ebola Optimization Search Algorithm (EOSA): A new metaheuristic algorithm based on the propagation model of Ebola virus disease0
A New K means Grey Wolf Algorithm for Engineering Problems0
Multi-objective design of multilayer microwave dielectric filters using artificial bee colony algorithm0
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