Marine Propeller Design Using Evolving Chaotic Autonomous Particle Swarm Optimization

Fuzzy Clustering and Routing Protocol With Rules Tuned by Improved Particle Swarm Optimization for Wireless Sensor Networks

“…where denotes the maximum number of iteration, , are the maximum and minimum inertia weights. Moreover, , are usually set to 0.9 and 0.4, respectively for the balance between global and local search [30,49,50]. Iteratedly, the positions and velocities of the particles are updated, and a fitness function is defined to calculate the values of the updated particles, obtaining the optimal and in current rotation, which can be given in Eq.…”