Ant-Based Phylogenetic Reconstruction (ABPR): A new distance algorithm for phylogenetic estimation based on ant colony optimization

In this paper, we introduced the ACO algorithm into the path planning of robot for bypassing the obstacles in dynamic environment. The simulation results validate

The modules in the Antnet class implement the functionality of receiving ant packets, processing them according to the flow of the algorithm which includes determining

They provided an insight of optimization techniques including Ant Colony Optimization (ACO) algorithm, Harfmony Search Algorithm (HSA), Artificial Bee Colony (ABC)

Consequently, the objective of the CVRP is to find a set of minimum cost routes to serve all the customers by satisfying the following constraints which are listed in

Considering a wireless sensor network where the nodes have limited energy, we propose a novel model Energy ∗ Delay based on Ant Colony Optimization (ACO) algorithm (E&D ANTS)

Conclusion: This approach to the tasks assignment problem using ACO performs better with respect to the two parameters used compared to the FCFS algorithm but the

Keywords: combinatorial optimization, Hamiltonian p-Median Problem (HpMP),.. Ant Colony Optimization (ACO), Vehicle Routing

The Fuzzy based Particle Swarm Optimization and Ant Colony Optimization (FPSO-ACO) technique is used to trim down the feature vector dimensionality and