Search Results for "ant colony optimization c++"
Sort By:
Showing 16 open source projects for "ant colony optimization c++"
View related business solutions-
Junie, the AI coding agent by JetBrainsJunie is an AI-powered coding agent developed by JetBrains designed to enhance developer productivity by integrating directly into popular IDEs such as IntelliJ IDEA, PyCharm, and Android Studio. It supports developers by assisting with code completion, testing, and inspections, ensuring code quality and reducing debugging time.
-
Easy-to-Use Website Accessibility WidgetAll in One Accessibility is an AI based accessibility tool that helps organizations to enhance the accessibility and usability of websites quickly.
-
1
AntTSP
Traveling Salesman Problem (TSP) Solver
Fast Ant Colony Optimization TSP Solver -
2
AcoPath for Java
Ant Colony Optimization algorithm for the shortest path problem.
The shortest path problem is solved by many methods. Heuristics offer lower complexity in expense of accuracy. There are many use cases where the lower accuracy is acceptable in return of lower consumption of computing resources. The basic idea of the Ant System is that virtual ants are exploited for finding paths with a specific property, e.g., short distance between physical nodes, in the same way nature guides physical ants. -
3
AcoPath
Ant Colony Optimization algorithm for the shortest path problem.
The shortest path problem is solved by many methods. Heuristics offer lower complexity in expense of accuracy. There are many use cases where the lower accuracy is acceptable in return of lower consumption of computing resources. The basic idea of the Ant System is that virtual ants are exploited for finding paths with a specific property, e.g., short distance between physical nodes, in the same way nature guides physical ants. Development takes place at https://github.com/zfoxer/AcoPath -
4
Smart Algorithm
Repository implementing a variety of intelligent algorithms
Smart-Algorithm is a repository implementing a variety of intelligent / metaheuristic optimization algorithms (e.g. Genetic Algorithm, Ant Colony, Particle Swarm, Immune Algorithm). The implementations are provided in multiple languages (Java, Python, MATLAB). The repository’s aim is to offer reference implementations of “smart” algorithms for tasks like route planning, optimization, or algorithm learning. Particle Swarm Optimization (PSO) implementations in multiple languages. ... -
Effortlessly Manage Product InformationA single source of truth for all of your product information with easy ways to distribute that data to wherever it needs to go, including the most powerful e-commerce connectors in the industry.
-
5
MYRA
A collection of ACO algorithms for the data mining classification task
MYRA is a collection of Ant Colony Optimization (ACO) algorithms for the data mining classification task. It includes popular rule induction and decision tree induction algorithms. The algorithms are ready to be used from the command line or can be easily called from your own Java code. They are build using a modular architecture, so they can be easily extended to incorporate different procedures and/or use different parameter values. -
6
tsp-problem-ga-aco-comparisson
Genetic Algorithm and Ant Colony to solve the TSP problem
This project compares the classical implementation of Genetic Algorithm and Ant Colony Optimization, to solve a TSP problem. It's possible to define the number of cities to visit , and also interactively create new cities to visit in a 2D spatial panel. A total distance is given for AG and ACO solution at end. -
7
Search Agents - a framework for collaboration of meta-heuristic agents
-
8
Substitution cipher cracker based on ant colony optimization metaheuristic. Includes GUI. Everything is in czech because this is a school project :(
-
9
Swarm Wars
Safety in numbers.
REPOSITORY MOVED TO GITHUB: https://github.com/happyjack27/SwarmWars video sample: http://youtu.be/s5mLNbdBQGY A game where you evolve & compete AI swarms. The organisms use swarm intelligence & ant colony optimization. The organisms can communicate through 3-color signaling as well as by laying beacons. They can attack and repair other organisms. They can select mates, and they can gather and distribute food and material. This behavior is controlled by a genetically evolved neural net augmented with online back propagation learning. ... -
CloudZero: The Cloud Cost Optimization PlatformCloudZero is the leader in proactive cloud cost efficiency. We enable engineers to build cost-efficient software without slowing down innovation. CloudZero's next-generation cloud cost optimization platform automates the collection, allocation, and analysis of cloud costs to uncover savings opportunities and improve unit economics. We are the only platform that enables companies to understand 100% of their operational cloud spend and take an engineering-led approach to optimizing that spend. CloudZero is used by industry leaders worldwide, such as Coinbase, Klaviyo, Miro, Nubank, and Rapid7.
-
10
ACOptim
Ant Colony Optimizer
Simple POSIX multithread Ant Colony Optimizer framework currently for solving Vehicle Routing Problem. Supports UDP, file synchronizatoin between computers. -
11
AntMiner
AntMiner
Inspired by the idea of ant colony optimization (ACO) algorithm being successfully applied to detect epistasis, we introduce an ACO based algorithm, AntMiner, by incorporating heuristic information into ant-decision rules. -
12
Implementation of Artificial Inteligence algorithms in python: - Ant Colony Optimization - Greed Algorithm
-
13
Pick-up and Delivery Vehicle Routing Problem with Time Windows and Multiply Types of Googs. Ant Colony optimization approach
-
14
-
15
SwarmTSP is a library of swarm intelligence algorithms for the Traveling Salesman Problem. Currently, it implements Ant Colony Optimization and Consultant-Guided Search algorithms.
-
16
- Previous
- You're on page 1
- Next
