1. Basic idea of algorithm In nature, in the process of ant colonies searching for food, whether it is the collaboration between ants or the interaction between ants and the environment, they all rely on a substance called pheromone to achieve indirect control of the ant colony. communicate, thereby cooperatively discovering the shortest path from […]
Tag: colon
Solve TSP problem based on ant colony algorithm under C++
c++ solving tsp problem_ant colony algorithm-solving TSP problem_PM Uncle Xiong’s blog-CSDN blog 1. Principle The ant colony algorithm is very similar to the previous particle swarm algorithm. It also presets a population, and each ant represents an access route. Set a number of iterations and randomly initialize the access paths of 100 ants. Each ant […]
[Effective Go] Formatting + code comments + naming + semicolons + control structures for efficient Go programming
source 1. Formatting ? Formatting is the most controversial but least important issue. In the Go language, use gofmt to format the program, such as the following code: type T struct {<!– –> name string // name of the object value int // its value } ? The format after calling gofmt is type T […]
[VRP problem] Solve the multi-site vehicle routing problem based on ant colony and 2-opt MDVRP with matlab code
?About the author: A Matlab simulation developer who loves scientific research. He cultivates his mind and improves his technology simultaneously. For cooperation on MATLAB projects, please send a private message. Personal homepage: Matlab Research Studio Personal credo: Investigate things to gain knowledge. For more Matlab simulation content click Intelligent optimization algorithm Neural network prediction Radar […]
[VRP problem] Solve the multi-site vehicle routing problem based on ant colony and 2-opt MDVRP with matlab code
?About the author: A Matlab simulation developer who loves scientific research. He cultivates his mind and improves his technology simultaneously. For cooperation on MATLAB projects, please send a private message. Personal homepage: Matlab Research Studio Personal credo: Investigate things to gain knowledge. For more Matlab simulation content click Intelligent optimization algorithm Neural network prediction Radar […]
c() & paste() & loop completion & colon operator & names function
c() and paste() c() function: concatenates the elements in brackets without creating a vector paste() function: join the elements in brackets # c() x <- c(1,2,3,4,5) x 1 2 3 4 5 x <- c(1,2,3,4,5,6) x[1:3] y <- c(‘1′,’is’,’useful’) y y[1:2] x == y 1 2 3 ‘1’ ‘is’ ‘useful’ ‘1’ ‘is’ TRUE FALSE FALSE […]
Artificial Bee Colony Algorithm and Its Implementation in Python
Article directory Algorithm Introduction Python implementation of swarm test Algorithm Introduction ABC, the Artificial Bee Colony Algorithm (Artificial Bee Colony Algorithm), was proposed by Karaboga et al. In ABC, there are three different types of bees, namely employed bees, follower bees and scout bees, the purpose of these three types of bees is to collect […]
Concept AI Neural Network – Data Network Load Balancing with Ant Colony Optimization
Directory introduce background routing algorithm Introduction to ANTNet algorithm plan Program Features kind Simulation results ANTNet vs. non-ANTNet loop elimination adaptability quote Download source code – 791.6 KB Introduction Ants first evolved about 12 billion years ago, formed among more than 11,400 different species, and are considered one of the most successful insects due to […]
[Matlab] Intelligent Optimization Algorithm_ Ant Colony Optimization Algorithm ACO
[Matlab] Intelligent Optimization Algorithm_ Ant Colony Optimization Algorithm ACO 1. Background introduction 2. Don’t talk nonsense, go directly to the code 3. File structure 4. Detailed code and comments 4.1 ACO.m 4.2 createColony.m 4.3 createGraph.m 4.4 drawBestTour.m 4.5 drawGraph.m 4.6 drawPhromone.m 4.7 ACO.mfitnessFunction.m 4.8 rouletteWheel.m 4.9 updatePhromone.m 5. Running results 6. References 1. Background introduction […]
Artificial bee colony algorithm to solve TSP / optimization machine learning (SVM) / optimization decision tree
1. Artificial Bee Colony(ABC) Algorithm The Artificial Bee Colony (ABC) algorithm is an optimization algorithm based on the foraging behavior of bees in nature, which was first proposed by Karaboga in 2005. It is a swarm intelligence algorithm for finding global optimal solutions in multidimensional and highly complex search spaces. This algorithm is widely used […]