二进制数
背包问题
计算机科学
传递函数
差异进化
算法
最优化问题
转移问题
功能(生物学)
数学优化
传输(计算)
连续优化
数学
并行计算
算术
生物
进化生物学
电气工程
多群优化
工程类
业务
国际贸易
作者
Yichao He,Fazhan Zhang,Seyedali Mirjalili,Tong Zhang
标识
DOI:10.1016/j.swevo.2021.101022
摘要
In order to efficiently solve the binary optimization problems by using differential evolution (DE), a class of new transfer functions, Taper-shaped transfer function, is firstly proposed by using power functions. Then, the novel binary differential evolution algorithm based on Taper-shaped transfer functions (T-NBDE) is proposed. T-NBDE transforms a real vector representing the individual encoding into a binary vector by using the Taper-shaped transfer function, which is suitable for solving binary optimization problems. For verifying the practicability of Taper-shaped transfer functions and the excellent performance of T-NBDE, T-NBDE is firstly compared with binary DE based on S-shaped, U-shaped and V-shaped transfer functions, respectively. Subsequently, it is compared with the state-of-the-art algorithms for solving the knapsack problem with a single continuous variable (KPC) and the uncapacitated facility location problem (UFLP). The comparison results show that Taper-shaped transfer functions are competitive than existing transfer functions, and T-NBDE is more effective than existing algorithms for solving KPC problem and UFLP problem.
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