Nature Inspired Meta-heuristic Optimization Algorithms Capitalized

被引：0

作者：

Sureka, V ^{[1
]}

Sudha, L. ^{[1
]}

Kavya, G. ^{[1
]}

Arena, K. B. ^{[1
]}

机构：

[1] SA Engn Coll, Chennai, Tamil Nadu, India

来源：

2020 6TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING AND COMMUNICATION SYSTEMS (ICACCS) | 2020年

关键词：

Nature inspired algorithm; Optimization; Control parameters; Metaheuristic;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Nature is an incredible and gigantic wellspring of inspiration for taking care of intense and complex issues in software engineering since it shows very shifted, dynamic, hearty, perplexing and enchanting phenomenon. Nature propelled calculations are meta heuristics that ridicules the nature for taking care of advancement issues opening another age in retribution. For the past years, several inquire about efforts have been engaged right now. As yet being youngster and the outcomes being shocking, augments the degree and reasonability of Bio Inspired Algorithms (BIAs) observing new territories of utilization and more projections in computing. This paper delineates the study on key meta-heuristic calculations. The writing overview is controlled by the control parameters, administrators and its highlights.

引用

页码：1029 / 1034

页数：6

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