Evolutionary Ann Design Using Improved Selection Method

Authors

  • G. V. R. Sagar G Pulla Reddy Engineering College (Autonomous), Kurnool, India.
  • M. Siva Sathyanarayana Department of Electrical and Electronics, G. Pulla Reddy Engineering College Kurnool, AP., India.

DOI:

https://doi.org/10.9734/bpi/naer/v14/12848D

Keywords:

Evolutionary algorithms, take-over time, wide-gap problem, ANOVA

Abstract

Study Objective: The important issue in Evolutionary Algorithms (EAs), is time-complexity analysis.

Here, 1. To consider the concept of take-overtime to obtain the mean hitting time of EA. i.e.  the concept of the takeover time is generalized rather than a selection of operator alone.

  1. This generalization is applied to benchmark problems like N-Bit parity. For various input sizes N, the time complexity in terms of number of generations is estimated.
  2. To develop an empirical model is also generated for proposed EA using statistical tool.
  3. To apply the proper selection method to find the take-overtime.

Published

2021-08-25

How to Cite

G. V. R. Sagar, & M. Siva Sathyanarayana. (2021). Evolutionary Ann Design Using Improved Selection Method. New Approaches in Engineering Research Vol. 14, 12–21. https://doi.org/10.9734/bpi/naer/v14/12848D

Issue

New Approaches in Engineering Research Vol. 14

Section

Chapters