Algorithms for Multi-Agent Systems like Ant Colony Optimization (ACO) and Particle Swarm Optimization (PSO)
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Updated
Jun 23, 2013 - C++
Algorithms for Multi-Agent Systems like Ant Colony Optimization (ACO) and Particle Swarm Optimization (PSO)
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Solving the set covering problem in C using heuristic optimization
Implementação do Algoritmo Ant System.
IEEE Submission. Ant Colony Optimization Algorithm for Mutation Testing.
A multi agent system, trying to figure out the shortest path between an anthill and a food source using an ant colony algorithm.
This repository contains source code for the four investigated ACO algoritms for the bi-objective Multiple Traveling Salesman Problem. For more details, see this paper "Necula, R., Breaban, M., Raschip, M.: Tackling the Bi-criteria Facet of Multiple Traveling Salesman Problem with Ant Colony Systems. ICTAI, (2015)" (https://ieeexplore.ieee.org/d…
Ant colony system (ACS) based algorithm for the dynamic vehicle routing problem with time windows (DVRPTW). For more details, see this paper "Necula, R., Breaban, M., & Raschip, M.: Tackling Dynamic Vehicle Routing Problem with Time Windows by means of ant colony system. CEC, (2017)" (https://ieeexplore.ieee.org/document/7969606)
Solving the next release problem using an hybrid ant colony optimization algorithm
A population based stochastic algorithm for solving the Traveling Salesman Problem.
Homeworks from the Solving Optimization Problems Using Evolutionary Computation Algorithms in Java course.
A Python implementation of the Ant Colony Optimization Meta-Heuristic
Homeworks for the college class: Solving Optimization Problems Using Evolutionary Computation Algorithms In Java
Genetic Algorithm and Search Algorithms
COS 710: Artificial Intelligence Assignment 2. Solve a maze using ACO and Beam Search.
Projects: Genetic Algorithms (GA) for cryptarithmetic problems , Artifical Neural Network (ANN) for recognize some digits, Ant Colony Optimization (ACO) for resolve Travel Salesman Problem (TSP).
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