Name
Title | ||
|---|---|---|
The effects of mutation and directed intervention crossover when applied to scheduling chemotherapy |
Abstract | ||
|---|---|---|
This paper discusses the effects of mutation and directed intervention crossover approaches when applied to the derivation of cancer chemotherapy treatment schedules. Unlike traditional Uniform Crossover (UC), the directed intervention techniques actively choose the intervention level based on the fitness of the parents selected for crossover. This work describes how directed intervention crossover principles are more robust to mutation and lead to significant improvement over UC when applied to cancer chemotherapy treatment scheduling. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1145/1389095.1389300 | GECCO |
Keywords | Field | DocType |
intervention crossover principle,intervention level,cancer chemotherapy treatment schedule,traditional uniform crossover,intervention technique,intervention crossover,cancer chemotherapy treatment scheduling,significant improvement,time series,genetic algorithms,genetic algorithm,crossover,optimal control | Oncology,Mathematical optimization,Cancer chemotherapy,Crossover,Internal medicine,Computer science,Chemotherapy,Scheduling (computing),Bioinformatics,Genetic algorithm | Conference |
Citations | PageRank | References |
0 | 0.34 | 8 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Paul M. Godley | 1 | 8 | 1.71 |
| David E. Cairns | 2 | 35 | 5.23 |
| Julie Cowie | 3 | 41 | 5.46 |
| Kevin M. Swingler | 4 | 0 | 0.34 |
| John McCall | 5 | 8 | 2.34 |