Skip to Main Content

Advertisement

MIT Press Direct, home
header search
Search
Advanced Search
Skip Nav Destination

Issues

Volume 28, Issue 4
Winter 2020
Issue Cover
All Issues
ISSN 1063-6560
EISSN 1530-9304
In this Issue

Articles

Genetic Programming for Evolving Similarity Functions for Clustering: Representations and Analysis
Andrew Lensen, Bing Xue, Mengjie Zhang
Evolutionary Computation (2020) 28 (4): 531–561.
View articletitled, Genetic Programming for Evolving Similarity Functions for Clustering: Representations and Analysis
Open the PDF for in another window
Genetic Programming Hyper-Heuristics with Vehicle Collaboration for Uncertain Capacitated Arc Routing Problems
Jordan MacLachlan, Yi Mei, Juergen Branke, Mengjie Zhang
Evolutionary Computation (2020) 28 (4): 563–593.
View articletitled, Genetic Programming Hyper-Heuristics with Vehicle Collaboration for Uncertain Capacitated Arc Routing Problems
Open the PDF for in another window
High-Order Entropy-Based Population Diversity Measures in the Traveling Salesman Problem
Yuichi Nagata
Evolutionary Computation (2020) 28 (4): 595–619.
View articletitled, High-Order Entropy-Based Population Diversity Measures in the Traveling Salesman Problem
Supplementary data
Open the PDF for in another window
Inferring Future Landscapes: Sampling the Local Optima Level
Sarah L. Thomson, Gabriela Ochoa, Sébastien Verel, Nadarajen Veerapen
Evolutionary Computation (2020) 28 (4): 621–641.
View articletitled, Inferring Future Landscapes: Sampling the Local Optima Level
Open the PDF for in another window
Evolutionary Image Transition and Painting Using Random Walks
Aneta Neumann, Bradley Alexander, Frank Neumann
Evolutionary Computation (2020) 28 (4): 643–675.
View articletitled, Evolutionary Image Transition and Painting Using Random Walks
Open the PDF for in another window
Evolved Transistor Array Robot Controllers
Michael Garvie, Ittai Flascher, Andrew Philippides, Adrian Thompson, Phil Husbands
Evolutionary Computation (2020) 28 (4): 677–708.
View articletitled, Evolved Transistor Array Robot Controllers
Supplementary data
Open the PDF for in another window

Erratum

Errata: Convergence Analysis of Evolutionary Algorithms That Are Based on the Paradigm of Information Geometry
Hans-Georg Beyer
Evolutionary Computation (2020) 28 (4): 709–710.
View articletitled, Errata: Convergence Analysis of Evolutionary Algorithms That Are Based on the Paradigm of Information Geometry
Open the PDF for in another window

Product(s) added to cart

Go to Cart Continue Browsing
Close Modal

Advertisement

Advertisement

  • Online ISSN 1530-9304
  • Print ISSN 1063-6560
A product of The MIT Press
Newsletter sign up

MIT Press Direct

Information

MIT Press

Contact Us

© 2023 The MIT Press
Close Modal
This Feature Is Available To Subscribers Only

or Create an Account

Close Modal
Close Modal
This site uses cookies. By continuing to use our website, you are agreeing to our privacy policy. No content on this site may be used to train artificial intelligence systems without permission in writing from the MIT Press.
Accept