A high-performance, modular Go library for exploring hybrid genetic algorithms (SGA, NSGA-II, SPEA2, FR-NSGA2) applied to multi-objective graph layout and other optimization problems.
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Updated
Aug 25, 2025 - Go
A high-performance, modular Go library for exploring hybrid genetic algorithms (SGA, NSGA-II, SPEA2, FR-NSGA2) applied to multi-objective graph layout and other optimization problems.
Five multi-objective evolutionary algorithms (NSGA-II, MOPSO, SPEA2, PESA-II, MOEA/D) on the MOP2 benchmark problem
Contains coursework amendments related to `Genetic Algorithms & Optimization`
C code for Strength Pareto Evolutionary Algorithm from authors Eckart Zitzler, Marco Laumanns, and Lothar Thiele
Strength Pareto Evolutionary Algorithm 2 (SPEA2) in MATLAB
Robust Ensemble-Based Evolutionary Calibration of SWAN model
Mirror - Genetics Algorithms and Genetic Programming library. https://genetics4j.org
Multi-objective evolutionary optimization algorithms - a tutorial. An illustration of combining GitHub and Jupyter Notebooks to create a modern scientific publication in the spirit of Open Science (in Polish)
Genetic policy optimiser for specific environments using cellular automata
Code, data, and post-processing notebooks for "Operator-Level Parallel Crossover Ensembles with Fixed Evaluation Budgets for Multi-objective Evolutionary Optimization" (submitted to Applied Soft Computing).
jMetalator - Simulator for multi-objective evolutionary optimization based on modified jMetal 5.5
A unified multi-objective evolutionary optimization architecture benchmarking NSGA-II, NSGA-III, MOEA/D, and SPEA2 using Hypervolume indicators to resolve WSN spatial constraints.
Genetic algorithm optimization based on SPEA2
Header-only, generic C++14 implementation of the SPEA2 algorithm
Multi-objective diet optimization: NSGA-II and SPEA2 (pymoo) Pareto fronts of daily menus from 405 foods. Heuristic Optimization course project (FSMVU)
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