Visualization for Hyper-Heuristics: Front-End Graphical User Interface
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Modern society is faced with ever more complex problems, many of which can be formulated as generate-and-test optimization problems. General-purpose optimization algorithms are not well suited for real-world scenarios where many instances of the same problem class need to be repeatedly and efficiently solved because they are not targeted to a particular scenario. Hyper-heuristics automate the design of algorithms to create a custom algorithm for a particular scenario. While such automated design has great advantages, it can often be difficult to understand exactly how a design was derived and why it should be trusted. This project aims to address these issues of usability by creating an easy-to-use graphical user interface (GUI) for hyper-heuristics to support practitioners, as well as scientific visualization of the produced automated designs. My contributions to this project are exhibited in the user-facing portion of the developed system and the detailed scientific visualizations created from back-end data.
- Research Organization:
- Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA)
- DOE Contract Number:
- AC04-94AL85000
- OSTI ID:
- 1177598
- Report Number(s):
- SAND--2015-2324R; 579484
- Country of Publication:
- United States
- Language:
- English
Similar Records
Visualization for Hyper-Heuristics: Back-End Processing
A Comparison of Genetic Programming Variants for Hyper-Heuristics
Hyper-Heuristics to Automatically Target Code to Computer Architectures
Technical Report
·
Sat Feb 28 23:00:00 EST 2015
·
OSTI ID:1177600
A Comparison of Genetic Programming Variants for Hyper-Heuristics
Technical Report
·
Sat Feb 28 23:00:00 EST 2015
·
OSTI ID:1177599
Hyper-Heuristics to Automatically Target Code to Computer Architectures
Technical Report
·
Mon Feb 29 23:00:00 EST 2016
·
OSTI ID:1618239