Feature Selection Optimization of HealthCare Software Product Line using BBO

被引：3

作者：

Hitesh ^{[1
]}

Chhikara, Rita ^{[1
]}

Kumari, A. Charan ^{[2
]}

机构：

[1] NorthCap Univ, Gurugram, India

[2] Dayalbagh Educ Inst, Agra, Uttar Pradesh, India

来源：

INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND DATA SCIENCE | 2020年 / 167卷

关键词：

Software Product Line; Biogeography based optimization(BBO); Feature Model(FM); Genetic Algorithm(GA); BIOGEOGRAPHY-BASED OPTIMIZATION; ALGORITHM;

D O I：

10.1016/j.procs.2020.03.380

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The Software Product Line (SPL) is the mandatory requirement of software industry as SPL minimizes the use of resources, reduces the cost of the system and maximizes the possibility of achieving the objective. The challenge with SPL is that it is exponential to number of features, hence there arises need to optimize the system. The metaheuristic algorithm provides this opportunity of optimize the SPL system. This paper presents BBO algorithm which is used for optimizing feature selection problem in SPL. Further, an empirical study against 10 features model has been done and compare results with Genetic Algorithm (GA),It is noticed that BBO provides best feature subsets for SPL. (C) 2020 The Authors. Published by Elsevier B.V.

引用

页码：1696 / 1704

页数：9

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