Preparation for Using Optimization Algorithms It is rare that a problem is submitted to an optimization algorithm "as is." By making a few changes in your problem, you can reduce its complexity, that ...

Although the updating equations of velocities for individuals in the mayfly optimization (MO) algorithm were not the same as that for individuals in the particle swarm optimization (PSO) algorithm, ...

This paper analyzes distributed optimization algorithms from a frequency-domain perspective. We propose a general class of gradient-based distributed algorithms that can be characterized as Lur'e ...

Particle swarm optimization (PSO) algorithm is an optimization technique with remarkable performance for problem solving. The convergence analysis of the met ...

Mathematical perfection in optimization is only as justified as the OF calculation is complete and true. The user needs to choose the optimizer, and the application characteristics should drive the ...

The structure and contents of the paper are as follows: (1) Introduce the basic particle swarm optimization algorithm and the algorithm flow; (2) Introduce the quantum chaotic adaptive particle swarm ...