Swarm Intelligence Based Ant Colony Optimization (ACO) Approach for Maximizing the Lifetime of Heterogeneous Wireless Sensor Networks

Macrolide versus nonmacrolide therapy and mortality in critically ill patients with community-acquired pneumonia: pooled adjusted risk. Use of a macrolide

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

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

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],

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

Power demand of the mixer’s drive reveals the mixer’s operating characteristics and reliable monitoring of the mixing processes involving the evaluation of power consumption

At the first stage of the measurements results analysis, the gear wheel cast surface image was compared with the casting mould 3D-CAD model (fig.. Next, the measurements results

Approach: Non-Dominated Sorting Particle Swarm Optimization algorithm (NSPSO) based approach is used in the design of multiobjective PID controller to find the constant