This is a preview. Log in through your library . Abstract This paper discusses the use of a Multi-Objective Genetic Algorithm to optimize a technology portfolio for a commercial transport. When ...

Abstract: This research focuses on the development and application of a multi-objective optimisation and evaluation analysis model, which is deeply rooted in the field of machine learning algorithms.

Abstract: A key feature of an efficient and reliable multi-objective evolutionary algorithm is the ability to maintain genetic diversity within a population of solutions. In this paper, we present a ...

In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...

This repository provides a flexible and extensible framework for Neural Architecture Search (NAS), focusing on multi-objective optimization. It implements and compares Quantum-Inspired Evolutionary ...

A genetic algorithm framework for evolving decision trees that balance accuracy and interpretability. Unlike greedy algorithms like CART that only optimize for accuracy, our multi-objective approach ...