Ea-based test and verification of microprocessors
Abstract
Index Terms
- Ea-based test and verification of microprocessors
Recommendations
Handling uncertainty with a real-coded EA
GECCO '08: Proceedings of the 10th annual conference companion on Genetic and evolutionary computationPresence of uncertainty in the search environment of Evolutionary algorithms (EA) interferes with the evaluation and the selection process of EA and adversely affects the performance of the algorithm. Presence of noise also means fitness function can ...
DCDG-EA: Dynamic convergence–diversity guided evolutionary algorithm for many-objective optimization
Highlights- DCDG-EA algorithm uses reference vector decomposition to solve MaOPs.
- CDOS ...
AbstractMaintaining a good balance between the convergence and the diversity is particularly crucial for the performance of the evolutionary algorithms (EAs). However, the traditional multi-objective evolutionary algorithms, which have shown ...
Comparing evolutionary algorithms to the (1+1) -EA
In this paper, we study the conditions in which the random hill-climbing algorithm (1 + 1)-EA compares favorably to other evolutionary algorithms (EAs) in terms of fitness function distribution at a given iteration and with respect to the average ...
Comments
Information & Contributors
Information
Published In
Sponsors
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Author Tags
Qualifiers
- Tutorial
Conference
Acceptance Rates
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 131Total Downloads
- Downloads (Last 12 months)2
- Downloads (Last 6 weeks)0
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in