A Discrete Artificial Fish School Optimized PTS Algorithm

ZHU Yang-kun; DA Xin-yu; ZHANG Ya-pu; WANG Shu

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A Discrete Artificial Fish School Optimized PTS Algorithm

更新时间：2026-09-04

- A Discrete Artificial Fish School Optimized PTS Algorithm
- Vol. 31, Issue 9, Pages: 71-75(2014)
- 作者机构：
  
  空军工程大学机构信息与导航学院,西安,710077
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2014
- 稿件说明：
移动端阅览
祝杨坤, 达新宇, 张亚普, 王舒. 一种离散人工鱼群优化的部分传输序列算法[J]. 微电子学与计算机, 2014, 31(9): 71-75.

ZHU Yang-kun, DA Xin-yu, ZHANG Ya-pu, et al. A Discrete Artificial Fish School Optimized PTS Algorithm[J]. 2014, 31(9): 71-75.
祝杨坤, 达新宇, 张亚普, 王舒. 一种离散人工鱼群优化的部分传输序列算法[J]. 微电子学与计算机, 2014, 31(9): 71-75. DOI：

ZHU Yang-kun, DA Xin-yu, ZHANG Ya-pu, et al. A Discrete Artificial Fish School Optimized PTS Algorithm[J]. 2014, 31(9): 71-75. DOI：

摘要

基于组合优化鱼群算法和PTS方法

提出一种离散鱼群优化的部分传输序列(DAFSA-PTS)算法.该算法通过设计新的鱼群移动行为策略

改善组合优化鱼群算法的寻优特性

通过替换人工鱼当前位置向量与较优位置向量中相应元素实现位置更新

使相位因子序列快速准确的向最优方向收敛

进而求得最低峰均功率比(PAPR).仿真表明:DAFSA-PTS算法的PAPR性能逼近于传统PTS算法

当子块分组数为12时

相差0.4dB

复杂度降低了85.35%;并且在相同复杂度下

优于粒子群优化的PTS算法

精度提高0.2dB.

Abstract

A novel discrete artificial fish school algorithm (DAFSA) was proposed

in which a new strategy is designed about fish moving behavior

improved the optimization ability of AFSA in combinatorial optimization problems and Partial transmit sequence (PTS) algorithm.By replacing the corresponding element of artificial fish in the current position with the optimal position vector to realize the position update

which made the search trajectories converge to the best phase factor quickly

and then get the lowest peak-to-average power ratio (PAPR).The simulation show that DAFSA-PTS have the nearest PAPR with conventional PTS

when the number of sub-block is12

has a differential of 0.4dB

and the complexity is reduced about 85.35%;when the complexity are same

DAFSA-PTS performs better than PSO-PTS

and the precision increases about 0.2dB.

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