This repo contains the codes used in the following paper entitled: A genetic algorithm for topology optimization of area-to-point heat conduction problem, by R. Boichot, Y. Fan - International Journal ...

Researchers coupled an improved artificial bee colony algorithm with EPANET simulations to simultaneously identify the ...

Anthropic on October 1, 2026 published Claude-shaped science, a guest post by theoretical physicist Matthew Schwartz ...

What you will learn in this article・On October 1, 2026, Anthropic published a guest post by Professor Matthew Schwartz titled ...

A simulation-based framework for satellite clock error estimation and clock-steering parameter optimization using Kalman Filtering and Genetic Algorithms. Accurate ...

At NYU Grossman School of Medicine, we frequently post new opportunities for postdoctoral fellows to join our team of world-class biomedical investigators. If you are interested in applying for an ...

Precise spatiotemporal control of protein synthesis is essential during embryogenesis, yet directly measuring translation ...

Summary: In this guest post, Prof. Matthew Schwartz returns to describe a new approach to AI-accelerated science. In Vibe Physics, Schwartz discussed similarities in capability between Claude and a ...

An electrical engineering master's degree that merges technology, engineering, and science and applies them to practical, industrial, and business applications. Rapidly developing global technologies ...

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遗传算法 (Genetic Algorithm)在这个场景下展现出独特优势。它模拟生物进化过程，通过选择、交叉、变异等操作，能在复杂的多目标优化问题中找到近似最优解。我们团队用Matlab实现的这套调度系统，在保持供电可靠性的前提下，成功将某工业园区微电网的日均运行成本降低了17.6%。

传统人工规划方法往往依赖经验公式和试错法，不仅效率低下，而且难以找到全局最优解。 这个项目采用遗传算法（Genetic Algorithm, GA）来解决这个多维优化问题。 遗传算法模拟生物进化过程，通过选择、交叉和变异操作，能够在复杂的解空间中高效搜索最优解。