Method for joint optimization of schedule and resource allocation based on the genetic algorithm

A method for joint optimization of schedule and resource allocation based on genetic algorithm for use in a Coordinated Multi-Point (CoMP) communication system, comprising steps of

• S1, designing, by a processor, encoding chromosome for a potential solution of a problem;
• S2, initializing settings, including setting an initial population, an elite, and control parameters of the genetic algorithm, by the processor;
• S3, computing, by the processor, fitness values of respective chromosomes in a new population including the elite;
• S4, determining, by the processor, whether the optimal solution is better than the elite, if yes, updating, by the processor, the elite and then proceeding step S5;
• otherwise, directly turning to step S5;
• S5, determining, by the processor, whether a predetermined number of generations of population have been generated, if no, proceeding step S6;
• otherwise, directly turning to step S8;
• S6, controlling, by the processor, the population to participate in reproduction process to generate two offspring chromosome individuals in the population;
• S7, determining, by the processor, whether a predetermined number of offspring chromosome individuals have been generated, if yes, turning to step S3 to compute again;
• otherwise, returning to step S6 and keeping on reproduction;
• S8, performing the user schedule and resource allocation in the CoMP communication system, by the processor, according to the solution corresponding to the elite.