混合蛙跳算法应用研究

混合蛙跳算法（SFLA）是一种模拟青蛙觅食行为的智能优化算法.算法具有设置参数少、简单易于理解、鲁棒性强等特点.由于该算法提出的时间不长,目前对此算法的研究成果并不多,该算法在理论和实践上还不够成熟,如该算法的鲁棒性、收敛性、稳定性等数学理论还未给出完整的数学证明,算法的适用范围目前还仅限于函数优化、组合优化、单目标优化、多目标优化等方面.本文重点分析研究了该算法的基本原理、应用前景、国内外的研究现状和主要研究内容,以及目前该算法研究过程中出现的问题.

Study on Application of shuffled frog leaping algorithm

hybrid leapfrog algorithm （ SFLA ） is an analog frog foraging behavior of intelligent optimization algorithm. Algorithm has less set parameters, simple easy to understand, strong robustness, etc. Due to the time of the algorithm proposed is not long, the current research achievements of this algorithm is not much, the algorithm in theory and practice is not mature enough, such as the algorithm robustness, convergence and stability of mathematical theory has not been given a complete mathematical proof, algorithm of the applicable scope is limited to function optimization, combinatorial optimization, single objective optimization, multi-objective optimization, etc. This paper analyzed the basic principle of the algorithm, application prospect and the research status at home and abroad and the main research contents, and at present the algorithm of the problems existing in the research process.