Memetic algorithms outperform evolutionary algorithms in multimodal optimisation

&
Artificial Intelligence 287 (C):103345 (2020)
  Copy   BIBTEX

Abstract

This article has no associated abstract. (fix it)

Categories

Keywords

Reprint years

DOI

10.1016/j.artint.2020.103345

Other Versions

No versions found

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 101,247

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

My notes

Similar books and articles

When move acceptance selection hyper-heuristics outperform Metropolis and elitist evolutionary algorithms and when not.Andrei Lissovoi, Pietro S. Oliveto & John Alasdair Warwicker - 2023 - Artificial Intelligence 314 (C):103804.
分布推定アルゴリズムによる Memetic Algorithms を用いた制約充足問題解決.Handa Hisashi - 2004 - Transactions of the Japanese Society for Artificial Intelligence 19:405-412.
Evaluating evolutionary algorithms.W. Whitney, S. Rana, J. Dzubera & K. E. Mathias - 1996 - Artificial Intelligence 84 (1-2):357-358.
Evaluating evolutionary algorithms.Darrell Whitley, Soraya Rana, John Dzubera & Keith E. Mathias - 1996 - Artificial Intelligence 85 (1-2):245-276.
Backward-chaining evolutionary algorithms.Riccardo Poli & William B. Langdon - 2006 - Artificial Intelligence 170 (11):953-982.
Multi-Objective Evolutionary Algorithms.Sanjoy Das & Bijaya K. Panigrahi - 2009 - In A. Pazos Sierra, J. R. Rabunal Dopico & J. Dorado de la Calle (eds.), Encyclopedia of Artificial Intelligence. Hershey. pp. 3--1145.
Drift analysis and average time complexity of evolutionary algorithms.Jun He & Xin Yao - 2001 - Artificial Intelligence 127 (1):57-85.
Towards an analytic framework for analysing the computation time of evolutionary algorithms.Jun He & Xin Yao - 2003 - Artificial Intelligence 145 (1-2):59-97.
Result diversification by multi-objective evolutionary algorithms with theoretical guarantees.Chao Qian, Dan-Xuan Liu & Zhi-Hua Zhou - 2022 - Artificial Intelligence 309 (C):103737.
Erratum to: Drift analysis and average time complexity of evolutionary algorithms.Jun He & Xin Yao - 2002 - Artificial Intelligence 140 (1-2):245-248.

Analytics

Added to PP
2020-12-22

Downloads
23 (#940,365)

6 months
7 (#706,906)

Historical graph of downloads
How can I increase my downloads?

Author's Profile

Citations of this work

Add more citations

References found in this work

No references found.

Add more references