Development of Backtracking Search Optimization Algorithm Toolkit in LabVIEW™

被引：8
|
作者：
Sheoran, Yashpal [1 ]
Kumar, Vineet [1 ]
Rana, K. P. S. [1 ]
Mishra, Puneet [1 ]
Kumar, Jitendra [1 ]
Nair, Sreejith S. [1 ]
机构：
[1] Netaji Subhash Inst Technol, Div Instrumentat & Control Engn, Sect 3, New Delhi 110078, India
来源：
3RD INTERNATIONAL CONFERENCE ON RECENT TRENDS IN COMPUTING 2015 (ICRTC-2015) | 2015年 / 57卷
关键词：
Backtracking Search Optimization Algorithm; Optimization; Optimization Techniques; Evolutionary Algorithms; Virtual Instruments; DIFFERENTIAL EVOLUTION;
D O I：
10.1016/j.procs.2015.07.476
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In this paper a Backtracking Search Optimization Algorithm (BSA) toolkit has been developed in the LabVIEW (TM) environment. LabVIEW (TM) provides a graphical programming environment to design measurement and control applications. The development of BSA toolkit was motivated by the fact that only Differential Evolution (DE) toolkit was provided in LabVIEW (TM). Thus to design BSA toolkit, several modular virtual instruments have been developed for each BSA process. Developed BSA toolkit has been tested on several benchmark test functions and a comparative study with inbuilt DE toolkit has been performed, which shows results obtained from BSA toolkit are found superior to DE toolkit. (C) 2015 The Authors. Published by Elsevier B.V.
引用
收藏
页码：241 / 248
页数：8
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