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Novel binary differential evolution algorithm based on Taper-shaped transfer functions for binary optimization problems

delete2022-03-01
delete50
PRE
AI
贺毅朝 cover
贺毅朝 (Yichao He) *
F
Fazhan Zhang
S
Seyedali Mirjalili
T
Tong Zhang
DOI:10.1016/j.swevo.2021.101022delete
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Abstract

Abstract

En 中文
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.
Keywords:
Evolutionary algorithm
Differential evolution
Transfer function
Knapsack problem with a single continuous variable
Uncapacitated facility location problem

Journal

Swarm and Evolutionary Computation cover
Swarm and Evolutionary Computation
IF:
8.5
Papers:
2.1K
Citations:
1.0W

Organization

T
torrens university australia
Scholars:
492
Papers: 602
Citations: 7
H
Hebei GEO University
Scholars:
1.3K
Papers: 913
Citations: 943