Core Mathematical Functions for Multi-Objective Optimization
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Updated
Mar 26, 2026 - C
Core Mathematical Functions for Multi-Objective Optimization
Refactored NSGA2, Non-dominated sorting genetic algorithm, implementation in C based on the code written by Dr. Kalyanmoy Deb.
R package for plotting the Empirical Attainment Function
Refactored AMOSA, Archived Multi Objective Simulated Annealing, implementation in C based on the code written by Sriparna Saha.
C code for Strength Pareto Evolutionary Algorithm from authors Eckart Zitzler, Marco Laumanns, and Lothar Thiele
Compute and update hypervolume contributions (and hypervolume indicator) in up to four dimensions
Enable Cobalt Strike BOF to extract credentials and tokens via LsaCallAuthenticationPackage without accessing LSASS memory or bypassing PPL.
(Incremental) greedy Hypervolume Subset Selection in 2 and 3 dimensions
Evolutionary Multi-objective Optimization (EMO) with CHIM+ bounds.
🔍 Reimplement the Cobalt Strike BOF Loader to debug edge cases, addressing issues with sections not handled by the original loader for effective BOF development.
Compute the hypervolume indicator in four dimensions, in quadratic time
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