No Free Lunch Theorem and Bayesian probability theory: two sides of the same coin. Some implications for black-box optimization and metaheuristics.
Loris SerafinoPublished in: CoRR (2013)
Keyphrases
- black box
- probability theory
- decision theory
- optimization problems
- black boxes
- dempster shafer
- belief functions
- possibility theory
- white box testing
- inference rules
- white box
- reasoning under uncertainty
- metaheuristic
- conditional independence
- integration testing
- bayesian networks
- decision making
- artificial intelligence
- data sets
- test cases
- genetic algorithm
- model selection
- belief change
- fuzzy sets
- expert systems
- cooperative