The COVID-19 pandemic changed the way many people approached their work across the globe. For Carnegie Mellon University Africa's Jema Ndibwile, it changed the way he viewed a completely different ...

1.1 什么是自适应大邻域搜索（ALNS）？ 自适应大邻域搜索（Adaptive Large Neighborhood Search，简称 ALNS）是一种用于解决组合优化问题的元启发式算法。它由 Ropke 和 Pisinger 于 2006 年提出，被广泛应用于车辆路径问题（VRP）等一系列 NP-难问题。 ALNS 的核心思想可以用一 ...

Abstract: The incorporation of multiple specialized operators can significantly enhance the Multi-Objective Evolutionary Algorithms in handling constraints. However, selection or manual setup of ...

Neion Bio’s Raptor™ platform utilizes cutting-edge genetic engineering to harness nature’s most efficient molecular factories for the production of critical medicines at lower cost, with minimal ...

“Facial Beauty” is not an absolute physical attribute but a subjective social and cultural construct. Facial beauty assessment is an interdisciplinary field that integrates computer vision and medical ...

I design and deploy high-impact systems built on LLMs, local inference, and agent architectures. Most scientific algorithms live in MATLAB - image processing and analysis, machine learning ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

In this tutorial, we implement an advanced Optuna workflow that systematically explores pruning, multi-objective optimization, custom callbacks, and rich visualization. Through each snippet, we see ...

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 ...