On the Solutions to the Travelling Salesman Problem using Nature Inspired Computing Techniques

A partir da análise feita, é possível observar que protagonista e narrador do romance são a mesma personagem, separadas por um espaço temporal que reflete os vários momentos

Some population based heuristic such as Memetic Algorithm [9], Ant Colony Optimization (ACO) [10], Particle Swarm Optimization [12], meta-heuristic such as Simulated Annealing [19],

Abstract — In this work, it is investigated an improved chaos particle swarm optimization (IC-PSO) scheme to refine the quality of the algorithm solutions

Swarm Optimization ) e HAP ( Hybrid Ant Colony and Particle Swarm ), sob a forma de ACO(T)-H, ACO(T)-HD, ACO(S)-H, ACO(S)-HD, PSO-H, PSO-HD, HAP-H e HAP-HD, onde os índices

Particularly, this paper focuses on the FCM learning using three different population based meta- heuristics: particle swarm optimization (PSO), genetic algorithm (GA) and a

Popular optimization techniques, as genetic algorithm (GA) and particle swarm optimization (PSO), were used to design the shape of the ground plane in order to improve

The great advantage over the use of exact methods is that ACO algorithm provides relatively good results by a comparatively low number of iterations, and is therefore able to find

Once the weights and biases are found using Particle swarm optimization (PSO) with neural network used as training algorithm for specified epoch, the same are used to train the