MHLib.jl - A Toolbox for Metaheuristics and Hybrid Optimization Methods in Julia
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Updated
Nov 19, 2024 - Julia
MHLib.jl - A Toolbox for Metaheuristics and Hybrid Optimization Methods in Julia
Hybrid of two Wrapper feature selection algorithms for feature selection.
Genetic Algorithm Assisted HIDMS-PSO: A Novel GA-PSO Hybrid Algorithm for Global Optimisation. Source code for the paper: IEEE Congress on Evolutionary Computation (CEC) https://ieeexplore.ieee.org/document/9504852
Complexity
Heuristic and meta-heuristic algorithms able to solve an examination timetabling problem
Hybrid optimization framework combining Simulated Annealing and Resilient Gradient Descent, designed for multi-objective optimization, robust constraint handling, and advanced customization.
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