GitHub

ArCNiX696/Genetic-Algorithms-NSGA-II-SPEA2-and-Simple-GA-for-Multi-Objective-Optimization

📢 Project Introduction This repository features custom implementations of three genetic algorithms for multi-objective optimization: NSGA-II (Non-dominated Sorting Genetic Algorithm II) SPEA2 ...
GitHub

Implementation of NSGA-II algorithm in form of a python library.

This implementation can be used to solve multivariate (more than one dimensions) multi-objective optimization problem. The number of objectives and dimensions are not limited. Some critical operators ...
IEEE

An Improved NSGA-III Algorithm for Scheduling Ships Arrival and Departure the Main Channel of Tianjin Port

Abstract: An effective scheduling method for ship arrival and departure is crucial for maximizing port resources and improving waterway navigation efficiency. In order to enhance the efficacy of ship ...
IEEE

An Efficient NSGA-II-Based Algorithm for Multi-Robot Coverage Path Planning

Abstract: This work presents an algorithm based on the Nondominated Sorting Genetic Algorithm II (NSGA-II) to solve multi-objective offline Multi-Robot Coverage Path Planning (MCPP) problems. The ...
Scientific Research Publishing

Optimization and Design of PV-Wind Hybrid System for DC Micro Grid Using NSGA II ()

The world is heading towards renewable energy, but the two key disputes that stop its well-known adoption are the power production level and the price of the production. Distributed generation (DG), ...
Scientific Research Publishing

Modeling and Optimization of Electrical Discharge Machining of SiC Parameters, Using Neural Network and Non-Dominating Sorting Genetic Algorithm (NSGA II) ()

Silicon Carbide (SiC) machining by traditional methods with regards to its high hardness is not possible. Electro Discharge Machining, among non-traditional machining methods, is used for machining of ...