Time-varying Binary Phasmatodea Population Evolution Algorithm

被引：0
|
作者：
Lou, Jiayin [1 ]
Chu, Shu-Chuan [2 ]
Pan, Jeng-Shyang [1 ,2 ,3 ]
Zhuang, Zhongjie [3 ]
机构：
[1] Northeast Elect Power Univ, Coll Comp Sci, Jilin, Peoples R China
[2] Chaoyang Univ Technol, Dept Informat Management, Taichung, Taiwan
[3] Shandong Univ Sci & Technol, Coll Comp Sci & Engn, Qingdao, Peoples R China
来源：
JOURNAL OF INTERNET TECHNOLOGY | 2025年 / 26卷 / 01期
关键词：
Swarm intelligence; Transfer function; Phasmatodea population evolution algorithm; 0-1 Knapsack problem; SWARM OPTIMIZATION ALGORITHM;
D O I：
10.70003/160792642025012601003
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Phasmatodea Population Evolution Algorithm (PPE) is an optimization algorithm based on insect behavior. It excels in solving tasks in continuous space. Standard PPE is not suitable for addressing binary problems such as path selection problems, neural network training, and feature selection problems. However, real-world binary problems cannot be solved by the original PPE algorithm. Because binary solutions can only have values of 0 or 1, while the solution space of standard PPE is continuous. To address these issues, we propose the Binary Phasmatodea Population Evolution (BPPE) algorithm and Time-Varying Binary Phasmatodea Population Evolution (TV-BPPE) for dealing with issues with binary properties and study the effect of different transfer functions on the algorithm's performance.
引用
收藏
页码：25 / 42
页数：18
相关论文
共 50 条
  • [31] Stabilization algorithm for linear time-varying systems
    V. V. Fomichev
    A. V. Mal’tseva
    W. Shuping
    Differential Equations, 2017, 53 : 1495 - 1500
  • [32] Study on an Adaptive Algorithm for Time-varying System
    Kim KwangHo
    Geng Yanfeng
    Yue Yaobin
    PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017), 2017, : 3538 - 3542
  • [33] An algorithm for concurrent estimation of time-varying quantities
    D'Errico, Giampaolo E.
    Murru, Nadir
    MEASUREMENT SCIENCE AND TECHNOLOGY, 2012, 23 (04)
  • [34] LYAPUNOV STABILITY FOR TIME-VARYING POPULATION SYSTEMS
    CHEN, RZ
    GAO, H
    SCIENCE IN CHINA SERIES A-MATHEMATICS PHYSICS ASTRONOMY, 1990, 33 (08): : 909 - 919
  • [35] POPULATION-GROWTH IN A TIME-VARYING ENVIRONMENT
    VANCE, RR
    THEORETICAL POPULATION BIOLOGY, 1990, 37 (03) : 438 - 454
  • [36] Modeling time-varying population for biometric authentication
    Vandana, Roy
    Jawahar, C. V.
    ICCTA 2007: INTERNATIONAL CONFERENCE ON COMPUTING: THEORY AND APPLICATIONS, PROCEEDINGS, 2007, : 361 - +
  • [37] Population switching under a time-varying environment
    Israeli, Tom
    Assaf, Michael
    PHYSICAL REVIEW E, 2020, 101 (02)
  • [38] Time series prediction using RBF neural networks with a nonlinear time-varying evolution PSO algorithm
    Lee, Cheng-Ming
    Ko, Chia-Nan
    NEUROCOMPUTING, 2009, 73 (1-3) : 449 - 460
  • [39] Analysis of Recurrent Gap Time Data with a Binary Time-Varying Covariate
    Kim, Yang-Jin
    COMMUNICATIONS FOR STATISTICAL APPLICATIONS AND METHODS, 2014, 21 (05) : 387 - 393
  • [40] Multi-strategy Parallel Phasmatodea Population Evolution Algorithm for Public Transport Scheduling
    Zhu, Yunxiang
    Yan, Fengting
    Pan, Jeng-Shyang
    Wan, Weibing
    Huang, Bo
    Shi, Zhicai
    ADVANCES IN INTELLIGENT INFORMATION HIDING AND MULTIMEDIA SIGNAL PROCESSING (IIH-MSP 2021 & FITAT 2021), VOL 2, 2022, 278 : 229 - 238
12345