Multi-objective Optimal Design Method Based on Efficient Area

Abstract

The invention relates to a multi-objective optimization design method based on an effective area, which adopts a bacterial foraging algorithm and uses a communication system optimization design objective function as the fitness value of bacterial tendency movement to jointly optimize multiple design objectives of the communication system. Bacteria use adaptive step size and direction to swim to the global optimal position in the set effective area, and at the same time use dynamic retention ratio to continuously update the bacterial population, and finally obtain the optimal design of the system by finding the optimal harmonic solution of the bacterial population Program. In order to ensure that the multi-objective optimal design scheme of the system is in the effective area of ​​the system, the present invention introduces the effective area in the process of bacteria tending to move. The invention enables the bacteria to quickly reach the global optimum through the self-adaptive step size and direction, and effectively solves the complex multi-objective optimization design problem faced by the design of the communication system.

Description

technical field [0001] The invention relates to the field of communication system design, in particular to a multi-objective optimal design method for a cognitive communication system. In order to overcome the shortcomings of the prior art above, the present invention proposes a multi-objective optimal design method based on effective area. The design method can ensure that the optimized Pareto optimal solution set is in the effective area of ​​the system, and the convergence speed is fast, which effectively solves the complex multi-objective optimization problem faced by the current communication system design. Background technique [0002] my country has a vast territory, complex geographical and climatic conditions, and is one of the countries most severely affected by natural disasters in the world. Building a stable and reliable emergency communication system in time is the primary condition for effectively implementing on-site rescue of major natural disasters. Conve...

AI Technical Summary

Problems solved by technology

This design method can ensure that the optimized Pareto optimal solution set is in the effective area of ​​the system, and the convergence speed is fast, which effectively solves the complex multi-objective optimization problem faced by the current communication system design

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