DIGNEA: A tool to generate diverse and discriminatory instance suites for optimisation domains
To advance research in the development of optimisation algorithms, it is crucial to have access to large test-beds of diverse and discriminatory instances from a domain that can highlight strengths and weaknesses of different algorithms. The DIGNEA tool enables diverse instance suites to be generate...
Main Authors: | Alejandro Marrero, Eduardo Segredo, Coromoto León, Emma Hart |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2023-05-01
|
Series: | SoftwareX |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352711023000511 |
Similar Items
-
Recognition improvement through the optimisation of learning instances
by: Hao Wu, et al.
Published: (2015-06-01) -
A Memetic Decomposition-Based Multi-Objective Evolutionary Algorithm Applied to a Constrained Menu Planning Problem
by: Alejandro Marrero, et al.
Published: (2020-11-01) -
Comparison between Single and Multi-Objective Evolutionary Algorithms to Solve the Knapsack Problem and the Travelling Salesman Problem
by: Mohammed Mahrach, et al.
Published: (2020-11-01) -
A comparative study of the Bees Algorithm as a tool for function optimisation
by: Duc Truong Pham, et al.
Published: (2015-12-01) -
Efficient Novelty Search Through Deep Reinforcement Learning
by: Longxiang Shi, et al.
Published: (2020-01-01)