Coding Challenge #35.1: Traveling Salesperson

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The Coding Train

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Published on August 24, 2016 2:52:40 PM ● Video Link: https://www.youtube.com/watch?v=BAejnwN4Ccw

Duration: 22:55

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In Part 1 of this multi-part coding challenge, I introduce the classic computer science problem of the Traveling Salesperson (TSP) and discuss the pitfalls with a brute force solution. In Part 2, I discuss Lexicographic Ordering and demonstrate one algorithm to iterate over all the permutations of an array. In Part 3, I apply this algorithm to a brute-force solution of the TSP problem. Every single route permutation is checked one by one. In Part 4, I attempt to create a solution to the TSP problem with a genetic algorithm, and then I add a “crossover” algorithm in Part 5. Code: https://thecodingtrain.com/challenges/35-traveling-salesperson

p5.js Web Editor Sketches:
🕹️ Part 1: Traveling Salesperson (TSP): https://editor.p5js.org/codingtrain/sketches/FCNAHaCqf
🕹️ Part 2: Lexicographic Order: https://editor.p5js.org/codingtrain/sketches/iYxi30gbl
🕹️ Part 3: TSP with Lexicographic Order: https://editor.p5js.org/codingtrain/sketches/bWPIkEv9s
🕹️ Part 4: TSP with Genetic Algorithm: https://editor.p5js.org/codingtrain/sketches/EGjTrkkf9
🕹️ Part 5: TSP with Genetic Algorithm and Crossover: https://editor.p5js.org/codingtrain/sketches/EGjTrkkf9

Other Parts of this Challenge:
📺 Part 2: Lexicographic Order: https://youtu.be/goUlyp4rwiU
📺 Part 3: TSP with Lexicographic Order: https://youtu.be/9Xy-LMAfglE
📺 Part 4: TSP with Genetic Algorithm: https://youtu.be/M3KTWnTrU_c
📺 Part 5: TSP with Genetic Algorithm and Crossover: https://youtu.be/hnxn6DtLYcY

🎥 Previous video: https://youtu.be/Cl_Gjj80gPE?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH
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🎥 All videos: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH

References:
🌐 Traveling Salesman on Wikipedia: https://en.wikipedia.org/wiki/Travelling_salesman_problem
🗨️ Permutation Algorithm Using Lexicographic Ordering: https://www.quora.com/How-would-you-explain-an-algorithm-that-generates-permutations-using-lexicographic-ordering
📝 Array on MDN: https://developer.mozilla.org/en/docs/Web/JavaScript/Reference/Global_Objects/Array
📝 Array.includes() on MDN: https://developer.mozilla.org/en/docs/Web/JavaScript/Reference/Global_Objects/Array/includes
📝 Array.reverse() on MDN: https://developer.mozilla.org/en/docs/Web/JavaScript/Reference/Global_Objects/Array/reverse
📝 ES6 Sets on MDN: https://developer.mozilla.org/en/docs/Web/JavaScript/Reference/Global_Objects/Set
💾 The Nature of Code Part 2: https://github.com/shiffman/NOC-S17-2-Intelligence-Learning
📕 The Nature of Code: http://natureofcode.com/

Videos:
🎥 Improved Pool Selection: https://www.youtube.com/watch?v=ETphJASzYes&list=PLRqwX-V7Uu6YJ3XfHhT2Mm4Y5I99nrIKX&index=23
🎥 Genetic Algorithm Playlist: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6bJM3VgzjNV5YxVxUwzALHV
🔴 Live Stream Archive #57: https://youtu.be/r_SpBy9fQuo

Related Coding Challenges:
🚂 #29 Smart Rockets in p5.js: https://youtu.be/bGz7mv2vD6g
🚂 #51 A* Pathfinding Algorithm: https://youtu.be/aKYlikFAV4k
🚂 #69 Evolutionary Steering Behaviors: https://youtu.be/flxOkx0yLrY
🚂 #70 Nearest Neighbors Recommendation Engine: https://youtu.be/N8Fabn1om2k

Timestamps:
00:00 Welcome to this coding challenge!
00:50 What is the Traveling Salesperson problem?
04:50 Code! Placing random cities on the canvas
07:30 Go through the cities in order
08:13 Shuffling the array with swaps
11:35 Computing the distance and saving the shortest one
15:20 Oups! Fixing an array index error
17:00 How to make a copy of an array?
19:43 Storing a copy of the best cities path ever
20:24 Drawing the best cities path ever
21:00 The limits of this brute force algorithm

Editing by Mathieu Blanchette
Animations by Jason Heglund
Music from Epidemic Sound

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#travelingsalesperson #permutation #lexicographicordering #natureofcode #geneticalgorithm #evolution #bruteforce #factorial #arrays #p5js