GIGAZINE

Google's AI 'AlphaEvolve' optimizes DNA analysis, power grids, quantum computing, and logistics in just one year: A summary of its achievements in algorithm discovery AI.

Google DeepMind has released the results of its Gemini-powered algorithm discovery AI, 'AlphaEvolve,' after one year of development. AlphaEvolve works by having Gemini generate candidate new code and ...
IEEE

Hierarchical Genetic Algorithm for the Multi-Solution Traveling Salesman Problem

Abstract: The Traveling Salesman Problem (TSP), a classic combinatorial optimization problem, has been extensively studied for many years. Recently, the Multi-solution Traveling Salesman Problem ...
Singularity Hub

The Limits of Computing: Why Even in the Age of AI, Some Problems Are Just Too Difficult

Empowered by artificial intelligence technologies, computers today can engage in convincing conversations with people, compose songs, paint paintings, play chess and go, and diagnose diseases, to name ...
The Conversation

Limits to computing: A computer scientist explains why even in the age of AI, some problems are just too difficult

Empowered by artificial intelligence technologies, computers today can engage in convincing conversations with people, compose songs, paint paintings, play chess and go, and diagnose diseases, to name ...
Visual Studio Magazine

The Traveling Salesman Problem Using an Evolutionary Algorithm with C#

Dr. James McCaffrey of Microsoft Research uses full code samples to detail an evolutionary algorithm technique that apparently hasn't been published before. The goal of a combinatorial optimization ...
Scientific Research Publishing

Johnson, D.S. and McGeoch, L.A. (1997) The Traveling Salesman Problem: A Case Study in Local Optimization. Local Search in Combinatorial Optimization, 1, 215-310.

ABSTRACT: The traveling salesman problem (TSP) is the most popular and most studied non-deterministic polynomial (NP) hard problem that has been used in various fields of science and technology. Due ...