Traffic Flow Estimation Using Ant Colony Optimization Algorithms

Ant Colony Optimization Using Genetic Algorithms

A Genetic algorithms is a search technique used to find true or approximate solutions to optimization and search problems. Hybrid algorithms is proposed to solve combinatorial optimization problem by using "Ant colony and Genetic programming algorithms". The genetic programming paradigm permits the evolution of computer programs which can perform intermediate calculations, which can perform com...

Ant Colony Optimization Algorithms to solve Nonlinear Network Flow Problems

In this work, we address two nonlinear network flow problems: the Single Source Uncapacitated Minimum Cost Network Flow Problem (SSU MCNFP) and the Hop-Constrained Minimum cost Flow Spanning Tree (HMFST) problem, both with concave cost functions. We propose two hybrid heuristics, HACO1 and HACO2, which are based on Ant Colony Optimization (ACO) and on Local Search (LS), to, respectively, solve ...

Traffic Signal Control with Ant Colony Optimization

Update Vehicle Traffic Routing Using Ant Colony Optimization Algorithm

In this paper, the authors want to implement the solution of combinatorial problem, based on the heuristic behavior of ant. This paper focuses on a highly developed solution procedure using ACO algorithm. This helps to solve routing problems easily. It also reflects the method considering flow, distance, cost, and emergency etc. Here, a new algorithm named UVTR (Update Vehicle Traffic Routing) ...

Traffic Avoidance in VANET using Ant Colony Optimization

Nowadays traffic avoidance is most complicated problem in this urban area. This paper proposes how to avoid or quickly cross the traffic in large area based on Ant Colony Optimization (ACO) in VANET. It is proposed for identifying the best path to a destination in the simulation area. It has a traffic factor such as vehicle speed, number of vehicles percent in specific path, road capacity, and ...