This project implements a Multi-Objective Genetic Algorithm (MOGA) based on the NSGA-II (Non-dominated Sorting Genetic Algorithm II) framework to solve a variation of the Boxes on Shelves optimization ...

An intelligent inversion framework for soil parameters in deep excavations is established by using BIM technology, finite difference method (FDM), and nondominated sorting genetic algorithm II ...

nd_sort.py is the non-dominated sorting method using the efficient non-dominated sorting method in [2]. crowding_distance.py is the density estimation method in NSGA-II, where the extreme solutions in ...

Abstract: Recent mathematical runtime analyses have shown that the crowding distance used by the NSGA-II multi-objective optimizer does not well reflect how isolated, and hence worth keeping, ...

The final, formatted version of the article will be published soon. Abstract: An intelligent control approach has been developed to address the problem of horizontal vibration control in high-speed ...

Abstract: It is important for any MOEA (Multi Objective Evolutionary Algorithm) to improve convergence and diversity of solutions of Pareto front, which is obtained at the termination of MOEA. There ...