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tspwc

v1.0.6

Published

TSP-WC Algorithm - Solving the traveling salesman problem with conditions

Downloads

24

Readme

Traveling Salesman Problem - With Conditions

Whether you need to find the optimal route regardless of conditions or you have conditions based on time windows and load capacity, tsp-wc will help you find the shortest route.

Demo app to find optimal route

Sample Usage

See the sample file in TypeScript to see how it can be used in your Node.js projects. The core function (solve) is in tspwc.ts and takes the following parameters:

stops: ITspStop (required)
initialTime: Date (optional)
initialLoad: number (optional) - initial load capacity, generally set to 100
ignoreConditions: boolean (optional) - this will ignore conditions passed into stops
initialPath: [0] (optional, not recommended to change)

ITspStop is defined as follows:

export interface ITspStop {
    id: string,
    arriveBetween?: Date[],
    arriveAfter?: Date,
    arriveBy?: Date,
    load?: number,
    times: number[],
    startTime?: Date
}

HTML

See tests/demo.html to learn more about how to incorporate this into your project via HTML and JS or tests/usage.ts for an example on how to tspwc with NodeJS and TypeScript. We have included a browser-friendly version of tspwc that you can find here. Please note that you will need your own Google API key to test this with both Maps and Directions API enabled on your Google Account.

Available Scripts

In the project directory, you can run:

npm run build

Builds [tspwc.ts] and tests/usage.ts into JS files for usage. usage.ts is a demo of the script being used in Typescript while tests/demo.html provides a demonstration of usage within the browser.

npm run test-usage

Runs the sample usage.js file which should output a log in your console.

Learn More

You can learn more about the developer here.