Name
Abstract | ||
|---|---|---|
This paper presents a principle of minimum complexity in evolving systems. Minimum complexity is supported by results and observations from genetic algorithm research and information complexity theory. This paper introduces minimum complexity and presents quantitative evidence for minimum complexity in messy genetic evolution. There also appears to be a strong correlation with our theory and what is observed in biological genetics. |
Year | DOI | Venue |
|---|---|---|
1990 | 10.1007/BFb0029782 | PPSN |
Keywords | Field | DocType |
minimum complexity,genetics,genetic algorithm | Evolving systems,Asymptotic computational complexity,Combinatorics,Mathematical optimization,Genetic Evolution,Computer science,Decision tree model,Theoretical computer science,Simon's problem,Information complexity,Genetic algorithm | Conference |
Volume | ISBN | Citations |
496 | 3-540-54148-9 | 0 |
PageRank | References | Authors |
0.34 | 3 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Luis R. Lopez | 1 | 0 | 1.01 |
| H. John Caulfield | 2 | 443 | 164.79 |