| TSP + Ant Colony Optimization (ACO) + SQLite DB + JAVA |
prototypeprj.com = zaneacademy.com (version 2.0) 00:10 import into Eclipse the downloaded zip file for 'TSP Ant Colony Optimization w/ JAVA Project' 00:28 create a new project and copy code from imported project 01:03 add and setup the sqlite jdbc jar file to the project 01:38 create a new package that will contain all 3 drivers for DB, File, & Hardcoded data 02:03 quickly refactor the code 05:45 test run the hardcoded data Driver 06:54 code CreateDB01 class to create the database and create and populate the city table 08:00 code the 'data from database' DBDriver class 09:10 create and populate the sqlite database containing cities and their latitudes and longitudes 09:17 test run the 'data from database' DBDriver 09:36 create file containing cities and their latitudes and longitudes 10:00 code the 'data from file' FileDriver class 10:26 test run the 'data from file' FileDriver ----------------------------------------------------------------------------------------------------------- download source code @ https://sites.fastspring.com/prototypeprj/instant/2020
download source code @ https://sites.fastspring.com/prototypeprj/instant/all ----------------------------------------------------------------------------------------------------------- |
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binary constraint graph
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blockchain
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brute force algorithm
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Class Scheduling
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conditional independence
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download source code
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euler phi function
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extended euclidean algorithm
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grow xml tree
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hopfield network
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java
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linear algebra
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map coloring
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multi-party Diffie-Hellman Key Exchange
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nearest neighbors
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Neural Networks
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node splitting
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numpy
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P2P
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point addition
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pow
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Public Key Cryptography + DHKE w/ Encryption + JAVA
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Python
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random restart hill climbing
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robotics
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rsa
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sha-256
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simulated annealing
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SMO
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sqlite
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stochastic gradient descent
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Support Vector Machines
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SVM
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Traveling Salesman Problem
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TSP
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underflow handling
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use rules
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workshops scheduling
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Showing posts with label Ant Colony Optimization. Show all posts
Showing posts with label Ant Colony Optimization. Show all posts
Wednesday, July 22, 2020
TSP + Ant Colony Optimization (ACO) + SQLite DB + JAVA
Thursday, July 16, 2020
Ant Colony Optimization (ACO) + JAVA + Traveling Salesman Problem (TSP)
Traveling Salesman Problem (TSP) By Ant Colony Optimization (ACO) - JAVA 8 Tutorial |
00:20 stigmergy is where individual organisms interact with each other through modifications of their environment 00:39 ants find shortest path from colony to food source using stigmergy 01:40 aco attempt to exploit elements of ant stigmergy in order to solve similar problems like tsp 01:55 quickly go over various parts of this tutorial 02:44 demo prebuilt version of application 03:32 code the app. 03:50 code Driver, Ant, and Route classes 04:56 ExecutorService is an Executor that provides methods to manage termination and methods that can produce a Future for tracking progress of one or more asynchronous tasks 05:20 ExecutorCompletionService uses a supplied Executor to execute tasks 09:07 do intial test run of app. before adding remaining classes 09:57 Add AntColonyOptimization, City, AtomicDouble 10:50 code City class 11:55 code Route class 12:41 code AtomicDouble class 13:35 define initial route between cities in Driver class 13:57 handle distances and phermone levels functionality in AntColonyOptimization class 16:10 finish coding Ant class 17:52 code call() method in Ant class 24:00 adjust phermone level functionality in Ant class 28:00 transition probabilities functionality in Ant class 32:00 finish coding Driver class 33:37 ants processing functionality in Driver class 36:34 test run completed application -------------------------------------------------------------------------------------------------------------------- quickly download, import into Eclipse, and run zip file for 'TSP Ant Colony Optimization w/ JAVA Project' --------------------------------------------------------------------------------------------------------------------- ----------------------------------------------------------------------------------------------------------- download source code @ https://sites.fastspring.com/prototypeprj/instant/2020
download source code @ https://sites.fastspring.com/prototypeprj/instant/all ----------------------------------------------------------------------------------------------------------- |
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