A framework for single/multi-objective optimization with metaheuristics

NSGA-Net, a Neural Architecture Search Algorithm

A Python implementation of the decomposition based multi-objective evolutionary algorithm (MOEA/D)

🧬 Modularised Evolutionary Algorithms For Python with Optional JIT and Multiprocessing (Ray) support. Inspired by PyTorch Lightning

Making a Class Schedule Using a Genetic Algorithm with Python

hybrid genetic algorithm for container loading problem

🎓An AI tool to assist universities with optimal allocation of students to supervisors for their dissertations. Devised a multi-objective genetic algorithm for the task.

Contains python code of an NSGA-II based solver with multiple genetic operator choices for the multiple travelling salesman problem with two objectives. Also contains sample instances from TSPLIB. (Deliverable for the ECE 750 AL: Bio & Comp Fall 2021 individual project @ UWaterloo)

The NSGA-II for the multi-objective shortest path problem

Implementation of NSGA-II in Python

Python bindings for OptFrame C++ Functional Core

NSGA-II implemetation for the elaboration included the research paper entitled "Multi-objective Optimization for Virtual Machine Allocation and Replica Placement in Virtualized Hadoop Architecture"

A stochastic circuit optimizer for Cadence Virtuoso, using the NSGA-II genetic algorithm.

The multiobjective evolutionary algorithm NSGA-II implemented by Python.

A python implementation of NSGA-II multi-objective optimization algorithm.

A Memetic Procedure for Global Multi-Objective Optimization

Portfolio Optimization Using Evolutionary Algorithms

Motif discovery for DNA sequences using multiobjective optimization and genetic programming.

[ICONIP 2021] "Training-Free Multi-Objective Evolutionary Neural Architecture Search via Neural Tangent Kernel and Number of Linear Regions" by Tu Do, Ngoc Hoang Luong

🎯 Non-dominated Sorting Genetic Algorithm