MATLAB Genetic Algorithm Toolbox的介绍 Genetic algorithms (GAs) are stochastic global search and optimization methods that mimic the metaphor of natural biological evolution [1]. GAs operate on a population of potential solutions applying the principle
2.4 power control algorithm Power control is to adjust the output power that can satisfy the reception of a called party and thus maximize the system capacity in the circumstances of dynamically changing channels, velocities of mobile stations, and
A flexible implementation of PSO algorithm with time-varying parameters. Algorithm is suitable for solving continuous optimization problems. Special care has been taken to enable flexibility of the algorthm with respect to its parameters and to init
This paper integrates Nelder–Mead simplex search method (NM) with genetic algorithm (GA) and particle swarm optimization (PSO), respectively, in an attempt to locate the global optimal solutions for the nonlinear continuous variable functions mainly
