Mathematical analysis of the cumulative effect of novel ternary crossover operator and mutation on probability of survival of a schema

DOI10.1016/J.TCS.2016.07.035zbMath1359.68268OpenAlexW2512473722MaRDI QIDQ511003

Anupam Shukla, Apoorva Mishra

Publication date: 14 February 2017

Published in: Theoretical Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.tcs.2016.07.035

zbMATH Keywords

genetic algorithmsschemamutationschema survivalternary crossover

Mathematics Subject Classification ID

Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Related Items (2)

Unnamed Item ⋮ Mathematical analysis of schema survival for genetic algorithms having dual mutation

Cites Work

• Editorial: Emergent nature inspired algorithms for multi-objective optimization
• A distance between populations for one-point crossover in genetic algorithms
• Towards hybrid and adaptive computing. A perspective.
• How to analyse evolutionary algorithms.
• The Max problem revisited: the importance of mutation in genetic programming
• Unnamed Item
• Unnamed Item

This page was built for publication: Mathematical analysis of the cumulative effect of novel ternary crossover operator and mutation on probability of survival of a schema