spea2

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)

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).

An implementation of most used multi-objective algorithms using jmetal in python.

Genetic policy optimiser for specific environments using cellular automata

A unified multi-objective evolutionary optimization architecture benchmarking NSGA-II, NSGA-III, MOEA/D, and SPEA2 using Hypervolume indicators to resolve WSN spatial constraints.

jMetalator - Simulator for multi-objective evolutionary optimization based on modified jMetal 5.5

Header-only, generic C++14 implementation of the SPEA2 algorithm

Tese de conclusão de Curso

Genetic algorithm optimization based on SPEA2