Contains code for RL and NES scheduling algorithms to optimize a flood control problem in a water dam

This repository provides practical implementations, examples, and insights into various optimization methods, making it easier to understand and apply these concepts.

Evolutionary Algorithm

Implementation of OpenAI's ES in julia

Python implementation of CMA-ES

Homework of Principles of Computational Intelligence course in CE department of Amirkabir University of Technology (Tehran Polytechnic) - Fall 2020.

A Java package for scientific computing

High Performance CPU Library for Neuro-Evolutionary Learning (NEAT) & Genetic Algorithms for Keras models

(EvoApps2022) "Towards a Principled Learning Rate Adaptation for Natural Evolution Strategies"

Implementation of the (μ/μ,λ)-Evolution Strategy (ES) with Search Path algorithm in C++

A pure-MATLAB library of EVolutionary (population-based) OPTimization for Large-Scale black-box continuous Optimization (evopt-lso).

Research Project

A Snake Environment to Train AI Algorithms

This Python script uses Evolution Strategy (ES) to minimize maximum lateness on a single machine (1||Lmax).

The scope of this project is to implement and test three different evolutionary strategies (Cross-Entropy Method (CEM), Natural Evolution Strategy (NES), Covariance Matrix Adaptation Evolution Strategy (CMA-ES)) on two different convex functions (a sphere function and a 2-dimensional Rastrigin function) to further explore their capabilities.

Based on the open-forward-NNs, implementation of LSTMs for evolution-strategy optimization.

Evolutionary algorithms from the papers

Python implementation of the Active-Set (1+1)-ES

This repository consists of the code I edited and developed which solves a unique timetabling problem of a large academic department. The code uses an evolutionary algorithm, a simulated hardening process and a type of general adversarial network which produces a range of valid timetables