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airfoil_aerodynamic_optimization

Aerodynamic optimization of an airfoil using an evolutionary algorithm

airfoilopt

A grid-less flow solver routine in MATLAB based on the Hess-Smith Panel Method which I coupled with an evolutionary optimization algorithm to optimize airfoil shapes for desired criteria.

collection_of_optimization_algorithms

A collection of evolutionary optimization algorithms in MATLAB

deap

Distributed Evolutionary Algorithms in Python

den-armoea

# Introduction of DNN-AR-MOEA This repository contains code necessary to reproduce the experiments presented in Evolutionary Optimization of High-DimensionalMulti- and Many-Objective Expensive ProblemsAssisted by a Dropout Neural Network. Gaussian processes are widely used in surrogate-assisted evolutionary optimization of expensive problems. We propose a computationally efficient dropout neural network (EDN) to replace the Gaussian process and a new model management strategy to achieve a good balance between convergence and diversity for assisting evolutionary algorithms to solve high-dimensional multi- and many-objective expensive optimization problems. mainlydue to the ability to provide a confidence level of their outputs,making it possible to adopt principled surrogate managementmethods such as the acquisition function used in Bayesian opti-mization. Unfortunately, Gaussian processes become less practi-cal for high-dimensional multi- and many-objective optimizationas their computational complexity is cubic in the number oftraining samples. # References If you found DNN-AR-MOEA useful, we would be grateful if you cite the following reference: Evolutionary Optimization of High-DimensionalMulti- and Many-Objective Expensive ProblemsAssisted by a Dropout Neural Network (IEEE Transactions on Systems, Man and Cybernetics: Systems).

fdtdsaw

Finite Difference Time Domain for Surface Acoustic Waves

pdtoolbox_matlab

Matlab implementation of some evolutionary dynamics from game theory, such as: replicator dynamics, smith dynamics, logit dynamics, and Brown-von Neumann-Nash.

platemo

Evolutionary multi-objective optimization platform

quic-seminar

Code repository for the QuIC Seminar at Michigan State University.

rf-cmoco

Handing Wang, Yaochu Jin, A Random Forest-Assisted Evolutionary Algorithm %for Data-Driven Constrained Multiobjective Combinatorial Optimization of Trauma Systems IEEE Transactions on Cybernetics, accept, 2018.

saw

surface acoustic waves

saw-filters-delta-function-model

saw_com

Coupling of Modes analysis for SAW devices