IEEE

Multi-modal Multi-objective Optimization: Problem Analysis and Case Studies

Abstract: In many real-world applications, multi-objective optimization problems may have more than one Pareto sets. The goal of multi-modal multi-objective optimization is to find all Pareto sets in ...
note

I tried implementing a Genetic Algorithm (GA) using Google Antigravity (GA).

Hello, this is Kamishita. Since I bought an M4 Macbook Air, I'd like to try out various AI coding tools. I received a 30,000 yen Apple Gift Card during Apple's first sale of the year, but I had no use ...
techannouncer

Mastering Algorithms: Your Comprehensive LeetCode Solution Guide

So, you wanna get good at LeetCode, huh? It’s a big world of problems out there, and it can feel pretty wild when you’re just starting. But don’t sweat it. We’re gonna walk through how to actually get ...
Ars Technica

Here’s the paper no one read before declaring the demise of modern cryptography

There’s little doubt that some of the most important pillars of modern cryptography will tumble spectacularly once quantum computing, now in its infancy, matures sufficiently. Some experts say that ...
Scientific Research Publishing

Stock Type Prediction Based on Multiple Machine Learning Methods ()

Stocks in the Chinese stock market can be divided into ST stocks and normal stocks, so to prevent investors from buying potential ST stocks, this paper first performs SMOTEENN oversampling data ...
The Conversation

I unintentionally created a biased AI algorithm 25 years ago – tech companies are still making the same mistake

In 1998, I unintentionally created a racially biased artificial intelligence algorithm. There are lessons in that story that resonate even more strongly today. The systems often fail on women of color ...