It is known that the Pareto-based approach is not well suited for optimization problems with a large number of objectives, even though it is a class of mainstream methods in multiobjective ...

As the number of aesthetic measures could be more than three, we propose a framework based on a many-objective evolutionary algorithm to produce aesthetically pleasing graph layouts. The outcome of ...

Reactor radiation-shielding optimization methods are proposed by combining many-objective evolutionary algorithms with particle-transport calculation software that can optimize the reactor primary ...

This repository contains the extended appendix of the master thesis Multi-Objective and Evolutionary Reinforcement Learning Algorithms in Electric Vehicle Charging Management. ... Diagram provides a ...

In recent years, research combining multi-objective evolutionary algorithms with machine learning technology has shown great potential, ... Figure 4 depicts a schematic diagram of a distributed shop.

More information: Many-objective evolutionary algorithms based on reference-point-selection strategy for application in reactor radiation-shielding design, Nuclear Science and Techniques (2025 ...