Evaluation of Genetic Algorithm’s Selection Methods

Hari Mohan Pandey; Anupriya Shukla; Ankit Chaudhary; Deepti Mehrotra

doi:10.1007/978-81-322-2752-6_72

Evaluation of Genetic Algorithm’s Selection Methods

Hari Mohan Pandey, Anupriya Shukla, Ankit Chaudhary, Deepti Mehrotra

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Original language	American English
Title of host publication	International Conference on Information Systems
DOIs	https://doi.org/10.1007/978-81-322-2752-6_72
State	Published - Jan 1 2016
Externally published	Yes

Disciplines

Applied Mathematics
Computer Sciences
Library and Information Science

Access to Document

10.1007/978-81-322-2752-6_72License: Unspecified

Cite this

@inbook{936474890530492783efffe6c4cf5cc5,

title = "Evaluation of Genetic Algorithm{\textquoteright}s Selection Methods",

author = "Pandey, \{Hari Mohan\} and Anupriya Shukla and Ankit Chaudhary and Deepti Mehrotra",

note = "Hari Mohan Pandey Anupriya Shukla Ankit Chaudhary Deepti Mehrotra Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 434) The focus of this paper is towards analyzing the performance of various selection methods in genetic algorithm. Genetic algorithm, a novel search and optimization algorithm produces optimum response.",

year = "2016",

month = jan,

day = "1",

doi = "10.1007/978-81-322-2752-6\_72",

language = "American English",

booktitle = "International Conference on Information Systems",

}

TY - CHAP

T1 - Evaluation of Genetic Algorithm’s Selection Methods

AU - Pandey, Hari Mohan

AU - Shukla, Anupriya

AU - Chaudhary, Ankit

AU - Mehrotra, Deepti

N1 - Hari Mohan Pandey Anupriya Shukla Ankit Chaudhary Deepti Mehrotra Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 434) The focus of this paper is towards analyzing the performance of various selection methods in genetic algorithm. Genetic algorithm, a novel search and optimization algorithm produces optimum response.

PY - 2016/1/1

Y1 - 2016/1/1

UR - https://link.springer.com/chapter/10.1007%2F978-81-322-2752-6_72

U2 - 10.1007/978-81-322-2752-6_72

DO - 10.1007/978-81-322-2752-6_72

M3 - Chapter

BT - International Conference on Information Systems

ER -

Evaluation of Genetic Algorithm’s Selection Methods

Disciplines

Access to Document

Other files and links

Cite this