A HYBRID OPTIMIZATION ALGORITHM BASED ON GENETIC ALGORITHM AND ANT COLONY OPTIMIZATION

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

Proceedings of the 11th European conference on Evolutionary computation in combinatorial optimization. Modifications and additions to ant colony optimization to solve the

O referencial teórico apresentado já apontava diversos estudos que afirmavam haver uma relação entre a flexibilização da jornada de trabalho e a melhoria do desempenho.

We propose a new distance algorithm for phylogenetic estimation based on Ant Colony Optimization (ACO), named Ant-Based Phylogenetic Reconstruction (ABPR).. ABPR joins two

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)

The techniques discussed in this paper are Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), Bacterial Foraging Optimization Algorithm (BFOA),

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],

Neste trabalho apresenta ­se um estudo preliminar sobre a caracterização elementar e isotópica do chumbo de 24 glandes plumbeae, de tipologias diversas, provenientes do Alto dos