shdotcom Goto Github PK

ab-moea

adaptive-clpso

Adaptive Parameter Selection in Comprehensive Learning Particle Swarm Optimizer

adaptive-grey-wolf-optimization-algorithm-agwo

ade-moais

ADE-MOAIS Optimization

automatic_ldr_night_lamp

Automatic LDR Based Night Lamp.

binary-salp-swarm-algorithm

bpso_breastcancer

breast cancer feature selection using binary particle swarm optimization

breast-cancer-detection

SVM for Breast Cancer Detection from mammogram Using MatLAB

chaotic-gsa-for-engineering-design-problems

All nature-inspired algorithms involve two processes namely exploration and exploitation. For getting optimal performance, there should be a proper balance between these processes. Further, the majority of the optimization algorithms suffer from local minima entrapment problem and slow convergence speed. To alleviate these problems, researchers are

code

ActiveState Code Recipes

compare-moea

Compare a variety of MOEA to solve the ModCell multiobjecitve strain desing problem

cso_matlab

The Matlab Source code of the Competitive Swarm Optimizer (CSO)

datasets

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).

diabetesprediction

eapso

economic-dispatching-by-bees-algorithm

Economic Dispatching by Bees Algorithm

ecwsa

This repo contains the codes and supplementary documents for Embedded Chaotic Whale Survival Algorithm

emo-mmo

Source Code of Evolutionary Multiobjective Optimization Based Multimodal Optimization

enginnering-design-problems-with-python

classical engineering design problems single objective fitness function pressure vessel welded beam and tension/compression spring design optimization problems

enhanched-search-mechanism-for-harris-hawks-optimizer-using-honey-badger-algorithm

This project creates a hybrid algorithm named Honey Badger-Harris Hawk Optimizer which is capable of solving optimization tasks.

evolopy-fs

evolutionary-grey-wolf-optimizer

evolutionary_algorithms

"Explore the world of Evolutionary Algorithms (EAs) with this educational repository. Dive into detailed implementations from Genetic Algorithms to Particle Swarm Optimization. Designed for clarity and understanding, it's a comprehensive guide for learners and educators alike. Dive in and demystify EAs!"

feature-rank-feature-selection

A noval feature selection method similar to pagerank method, and ultilized Bayesian optimization to search appropriate parameters

feature-selection-algorithm

Code for Feature Selection

grey-wolf-optimizer-for-path-planning

灰狼优化算法(GWO)路径规划、轨迹规划、轨迹优化、多智能体/多无人机航迹规划

greywolfoptimization-mksvm

Using GreyWolfOptimization for feature selection and multi kernel SVM for classification for Malware Hunting on IoT devices

gwosvr

Sanitized Grey Wolf Optimizer(SGWO)-Support Vector Regressor (SVR)