禁忌退火狮子群算法

Falei Ji, M. Jiang
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引用次数: 1

摘要

狮群优化算法是一种模拟狮王、母狮和幼狮行为的群体智能算法。狮子王是在狮子群中占据最佳位置的个体,但每次迭代中只进行单一位置更新,因此搜索不够仔细。针对上述问题,提出了一种禁忌退火狮子群优化算法,该算法采用带禁忌列表的内存禁忌退火算法来增强狮子王的优化能力。在CEC2013测试函数上的实验比较表明,本文提出的禁忌退火狮子群优化算法收敛速度更快,精度更高,更有效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tabu Annealing Lion Swarm Optimization Algorithm
Lion swarm optimization is a swarm intelligence algorithm that simulates the behaviors of lion king, lioness and cub. Lion king is the individual who occupies the best position in the lion group, but only a single position update is carried out in each iteration, so the search is not careful enough. To solve the above problem, a tabu annealing lion swarm optimization algorithm is proposed, which uses the memory tabu annealing algorithm with tabu list to enhance the lion king's optimization ability. The experimental comparisons on CEC2013 test function show that the proposed tabu annealing lion swarm optimization algorithm has faster convergence speed, higher accuracy and is more effective.
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