Rover. Finding the shortest pass by Dijkstra’s shortest path algorithm

Related tags

Algorithmsrover
Overview

rover

Rover. Finding the shortest path by Dijkstra’s shortest path algorithm

Задача Вы — инженер, проектирующий роверы-беспилотники. Вам надо спроектировать путь ровера по заранее известной местности с максимальной экономией заряда.

Местность Вам пришли данные о местности в закодированном виде: фотография, сконвертированная в матрицу с числами. Одна матрица — это прямоугольный снимок размером х на y метров. Вот пример одной такой сконвертированной фотографии, на ней снимок в 100 на 100 метров: Фото 1: 0 2 3 4 1 2 3 4 4 1 3 4 5 6 2 4 5 6 7 1 6 7 8 7 1 Числа показывают высоту над уровнем моря. 0 — это высота ровно на уровне моря, а, например, 4 — это 4 единицы над уровнем моря. На Фото 1 закодирован холм, пологий слева и резко обрывающийся справа. Небольшой холмик выглядел бы вот так Фото 2: 0 1 1 1 0 1 1 3 1 1 0 1 1 1 0 0 0 0 0 0 А вот так: ложбина между двумя холмами Фото 3: 1 1 2 3 4 1 0 1 2 3 2 1 1 1 2 3 3 1 0 1 4 3 1 1 0 На этих данных - скала или овраг, так как виден очень резкий перепад высот в середине снимка Фото 4: 1 1 6 7 7 1 1 6 7 8 1 6 7 8 9 А на этом - маленькая ямка Фото 5: 3 4 4 4 4 3 3 2 1 1 1 4 4 2 1 1 3 4 4 4 2 2 3 4 Данные придут вам в виде матрицы с неотрицательными числами. Размер матрицы NxM.

Ровер Ровер всегда движется из верхней левой точки [0][0] в правую нижнюю точку [N - 1][M - 1], где N и M - это длина и ширина матрицы. Это надо для того, чтобы разрезать фотографию на одинаковые куски, обработать их по-отдельности, а потом склеить весь путь. У вашего ровера есть несколько ограничений:

Движение Из любой точки ровер может двигаться только в четыре стороны: на север, юг, запад, восток. Ровер не может ехать по-диагонали — эта функция еще не реализована. Ровер не может вернуться в ту точку, в которой уже был. Заряд Ровер ездит на заряде. Вы знаете, что для ровера очень затратно подниматься и опускаться. Он тратит единицу заряда на само движение, и дополнительные единицы на подъем и спуск. Ровер бы вообще спокойно жил, если бы ездил по асфальту в Беларуси, тогда бы он тратил себе линейно заряд и в ус не дул, но жизнь его сложилась иначе. Расход заряда Заряд расходуется по правилу: На 1 шаг ровер всегда тратит 1 единицу заряда. На подъем или спуск ровер тратит заряд, пропорциональный сложности подъема или спуска. Сложность подъема или спуска - это разница между высотами.

Например, в такой местности 1 2 1 5 на путь из [0][0] в [0][1] ровер потратит 2 единицы заряд: 1 единица заряда на само движение, и еще 1 единицу заряда на подъем в [0][1]. А из [0][1] в [1][1] ровер потратит 4 единицы заряда: 1 единица на само движение, и 3 единицы (5 - 2) на подъем Вам надо рассчитать путь ровера из верхей левой [0][0] точки в правую нижнюю [N - 1][M - 1] точку с минимальной тратой заряда. Вы не заранее знаете размер фотографии, которую будете обрабатывать, N и M - произвольные неотрицательные числа.

План Сделайте план пути и планируемый расход и выведите. Для фотографии 0 4 1 3 план будет такой: [0][0]->[1][0]->[1][1] steps: 2 fuel: 5 Ровер едет из 0 в 1 в 3, сделает два шага, потратит 5 заряда. Если бы он поехал сначала в 4, потом в 3, он бы сделал то же количество шагов, но потратил бы 7 заряда. Оптимальный путь: 2 шага и 5 заряда. Если на карте есть несколько вариантов пути, выберите любой из них.

You might also like...
Fedlearn algorithm toolkit for researchers
Fedlearn algorithm toolkit for researchers

Fedlearn algorithm toolkit for researchers

A custom prime algorithm, implementation, and performance code & review
A custom prime algorithm, implementation, and performance code & review

Colander A custom prime algorithm, implementation, and performance code & review Pseudocode Algorithm 1. given a number of primes to find, the followi

Sorting Algorithm Visualiser using pygame
Sorting Algorithm Visualiser using pygame

SortingVisualiser Sorting Algorithm Visualiser using pygame Features Visualisation of some traditional sorting algorithms like quicksort and bubblesor

This project is an implementation of a simple K-means algorithm
This project is an implementation of a simple K-means algorithm

Simple-Kmeans-Clustering-Algorithm Abstract K-means is a centroid-based algorithm, or a distance-based algorithm, where we calculate the distances to

Search algorithm implementations meant for teaching

Search-py A collection of search algorithms for teaching and experimenting. Non-adversarial Search There’s a heavy separation of concerns which leads

8-puzzle-solver with UCS, ILS, IDA* algorithm
8-puzzle-solver with UCS, ILS, IDA* algorithm

Eight Puzzle 8-puzzle-solver with UCS, ILS, IDA* algorithm pre-usage requirements python3 python3-pip virtualenv prepare enviroment virtualenv -p pyth

A Python Package for Portfolio Optimization using the Critical Line Algorithm

A Python Package for Portfolio Optimization using the Critical Line Algorithm

🧬 Training the car to do self-parking using a genetic algorithm
🧬 Training the car to do self-parking using a genetic algorithm

🧬 Training the car to do self-parking using a genetic algorithm

A raw implementation of the nearest insertion algorithm to resolve TSP problems in a TXT format.

TSP-Nearest-Insertion A raw implementation of the nearest insertion algorithm to resolve TSP problems in a TXT format. Instructions Load a txt file wi

Releases(V2.0)
  • V2.0(Nov 8, 2021)

    Rover v02 Update your first version of Rover code. Your task is to calculate the path with minimized fuel cost. The first version is working, but real-life tests showed that it didn't match the reality.

    What are the changes?

    Below the sea level The previous version processes only the terrain that is above sea level. But in reality, the landscape can be both above and below sea level. The new version of the code must handle different terrains. The numbers still show the height. Zero 0 is a sea level. Positive numbers show the elevation above sea level. Negative numbers mean that the terrain is below sea level. For example, here is already parsed photo of a small lake: {{"0","-1","-1","-1","0"}, {"-1","-1","-3","-1","-1"}, {"0","-1","-1","-1","0"}, {"0","0","0","0","0"}}

    Impossible Elevation Nature is unpredictable, and sometimes there are places that the Rover cannot reach. Such terrain is marked as X on the photo. Rover cannot go into that place. For example, here is a unparsed photo with unreachable terrain: 1 1 X X X 1 1 X X 8 1 1 0 0 3

    Updated movement Now your Rover can move diagonally! It still cannot get back to the same place, though. Rover still moves from the [0][0] to [N - 1][M - 1]. N and M are arbitrary positive numbers.

    Updated fuel mileage

    Fuel Mileage with Negative Numbers The fuel cost works the same with negative numbers: moving from 0 to 2 will cost the same two fuel units as moving from 0 to -2. Moving from 2 to -2 will cost the same as moving from 4 to 0.

    Fuel Mileage with Diagonal Movement Diagonal movement requires different fuel mileage. Every second diagonal move consumes two fuel units. The first diagonal move is one fuel, the second diagonal move is two fuel, the third is one fuel, the fourth is two, etc. For example, here
    1 2 1 1 2 1 1 7 0 a path from [0][0] to [1][1] costs 1 fuel for diagonal move plus 1 fuel for elevation, and a path from [1][1] to [2][2] costs 2 fuel for the second diagonal move and 2 fuel for descent.

    Error handling

    Data Data is not ideal. Sometimes the parser that converts from the photo to numbers shows bizarre results. Please make sure that the matrix contains only numerals and the 'X' sign.

    Exceptions Something may go wrong. There may be no matrix at all, or the matrix may contain weird data, or the path may start with X at [0][0]. There are tons of ways that the program can go wrong. Implement exception handling. The exception rules: if the Rover cannot start its movement, throw the CannotStartMovement exception. End the program and write the reason to path-plan.txt So, if the Rover cannot move, throw an exception and end the program. Write to the path-plan.txt something like "Cannot start a movement because ...... ." Come up with your description of a problem. Write in clear and simple English.

    Source code(tar.gz)
    Source code(zip)
Visualisation for sorting algorithms. Version 2.0

Visualisation for sorting algorithms v2. Upped a notch from version 1. This program provides animates simple, common and popular sorting algorithms, t

Ben Woo 7 Nov 08, 2022
PickMush - A mini study/project on boosting algorithm

PickMush A mini project implementing Boosting Author Shashwat Vaibhav What does it do? Classifies whether Mushroom is edible or is non-edible (binary

Shashwat Vaibahav 3 Nov 08, 2022
Slight modification to one of the Facebook Salina examples, to test the A2C algorithm on financial series.

Facebook Salina - Gym_AnyTrading Slight modification of Facebook Salina Reinforcement Learning - A2C GPU example for financial series. The gym FOREX d

Francesco Bardozzo 5 Mar 14, 2022
8-puzzle-solver with UCS, ILS, IDA* algorithm

Eight Puzzle 8-puzzle-solver with UCS, ILS, IDA* algorithm pre-usage requirements python3 python3-pip virtualenv prepare enviroment virtualenv -p pyth

Mohsen Arzani 4 Sep 22, 2021
An NUS timetable generator which uses a genetic algorithm to optimise timetables to suit the needs of NUS students.

A timetable optimiser for NUS which uses an evolutionary algorithm to "breed" a timetable suited to your needs.

Nicholas Lee 3 Jan 09, 2022
🧬 Training the car to do self-parking using a genetic algorithm

🧬 Training the car to do self-parking using a genetic algorithm

Oleksii Trekhleb 652 Jan 03, 2023
Minimal pure Python library for working with little-endian list representation of bit strings.

bitlist Minimal Python library for working with bit vectors natively. Purpose This library allows programmers to work with a native representation of

Andrei Lapets 0 Jul 25, 2022
A lightweight, object-oriented finite state machine implementation in Python with many extensions

transitions A lightweight, object-oriented state machine implementation in Python with many extensions. Compatible with Python 2.7+ and 3.0+. Installa

4.7k Jan 01, 2023
The DarkRift2 networking framework written in Python 3

DarkRiftPy is Darkrift2 written in Python 3. The implementation is fully compatible with the original version. So you can write a client side on Python that connects to a Darkrift2 server written in

Anton Dobryakov 6 May 23, 2022
🧬 Performant Evolutionary Algorithms For Python with Ray support

🧬 Performant Evolutionary Algorithms For Python with Ray support

Nathan 49 Oct 20, 2022
Ralebel is an interpreted, Haitian Creole programming language that aims to help Haitians by starting with the fundamental algorithm

Ralebel is an interpreted, Haitian Creole programming language that aims to help Haitians by starting with the fundamental algorithm

Lub Lorry Lamysère 5 Dec 01, 2022
Genius Square puzzle solver in Python

Genius Square puzzle solver in Python

James 3 Dec 15, 2022
FingerPy is a algorithm to measure, analyse and monitor heart-beat using only a video of the user's finger on a mobile cellphone camera.

FingerPy is a algorithm using python, scipy and fft to measure, analyse and monitor heart-beat using only a video of the user's finger on a m

Thiago S. Brasil 37 Oct 21, 2022
There are some basic arithmatic in Pattern Recognization and Machine Learning writed in Python in this repository

There are some basic arithmatic in Pattern Recognization and Machine Learning writed in Python in this repository

1 Nov 19, 2021
Path tracing obj - (taichi course final project) a path tracing renderer that can import and render obj files

Path tracing obj - (taichi course final project) a path tracing renderer that can import and render obj files

5 Sep 10, 2022
A fast, pure python implementation of the MuyGPs Gaussian process realization and training algorithm.

Fast implementation of the MuyGPs Gaussian process hyperparameter estimation algorithm MuyGPs is a GP estimation method that affords fast hyperparamet

Lawrence Livermore National Laboratory 13 Dec 02, 2022
Rover. Finding the shortest pass by Dijkstra’s shortest path algorithm

rover Rover. Finding the shortest path by Dijkstra’s shortest path algorithm Задача Вы — инженер, проектирующий роверы-беспилотники. Вам надо спроекти

1 Nov 11, 2021
Nature-inspired algorithms are a very popular tool for solving optimization problems.

Nature-inspired algorithms are a very popular tool for solving optimization problems. Numerous variants of nature-inspired algorithms have been develo

NiaOrg 215 Dec 28, 2022
This repository is an individual project made at BME with the topic of self-driving car simulator and control algorithm.

BME individual project - NEAT based self-driving car This repository is an individual project made at BME with the topic of self-driving car simulator

NGO ANH TUAN 1 Dec 13, 2021
Solving a card game with three search algorithms: BFS, IDS, and A*

Search Algorithms Overview In this project, we want to solve a card game with three search algorithms. In this card game, we have to sort our cards by

Korosh 5 Aug 04, 2022