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 ...
Welcome! This repository contains REST API tutorial samples that demonstrate how to use the Azure AI Content Understanding service directly via HTTP calls with thin Python convenience wrappers. These ...
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 ...
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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 ...
Abstract: Heuristic dispatching rules (HDRs) are widely used for solving the dynamic fuzzy job shop scheduling problem (DFJSSP). However, their performance is highly sensitive to specific scenarios ...
Abstract: This paper presents a novel neural network-based optimization framework, NNDE, to solve the traveling salesman problem (TSP). The core idea is to use a radial basis function network (RBFN) ...
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Anthropic is bringing Voice Mode to Claude Code, the company’s AI coding assistant for developers. The launch of voice mode marks a significant step toward more hands-free, conversational coding ...