GitHub

kaist-comet/TSPDrone.jl

This package solves the Traveling Salesman Problem with Drone (TSP-D) with 1 truck and 1 drone. This implements the Divide-Partition-and-Search (DPS) algorithm and the Deep Reinforcement Learning (DRL ...
IEEE

Contra Harmonic Mean Labeling of Some Graphs and Python-Based Continuous-Time Neural Networks for Solving the Travelling Salesman Problem in Artificial Intelligence

Abstract: In this paper, we prove Contra Harmonic Mean Labeling for some star related graphs such as $\mathrm{K}_{1, \mathrm{n}}, S(\mathrm{K}_{1, \mathrm{n ...
Hacker

Building a Web-Based Traveling Salesman Solver That Earned a 21 Proof of Usefulness Score

I'm an A.I enthusiast and quant. I have created a TSP solver which provides optimal paths for up to 30 nodes. I'm an A.I enthusiast and quant. I have created a TSP solver which provides optimal paths ...
archive

The Nautical Telegraph Code Book and Postal Guide. For Officers of the M.M. and for all persons travelling abroad. [4th Edition, 1920, Great Britain]

remove-circle Internet Archive's in-browser bookreader "theater" requires JavaScript to be enabled. It appears your browser does not have it turned on. Please see ...
Hosted on MSN

Linear Programming problem learn how to solve

Learn how to solve problems using linear programming. A linear programming problem involves finding the maximum or minimum value of an equation, called the objective functions, subject to a system of ...
IEEE

Automatic Programming via Large Language Models With Population Self-Evolution for Dynamic Fuzzy Job Shop Scheduling Problem

Abstract: Heuristic dispatching rules (HDRs) are widely used for solving the dynamic fuzzy job shop scheduling problem. However, their performance is highly sensitive to specific scenarios and often ...