Genetic algorithms and their applications in accelerator physics
Conference
·
OSTI ID:1113658
- JLAB
Multi-objective optimization techniques are widely used in an extremely broad range of fields. Genetic optimization for multi-objective optimization was introduced in the accelerator community in relatively recent times and quickly spread becoming a fundamental tool in multi-dimensional optimization problems. This discussion introduces the basics of the technique and reviews applications in accelerator problems.
- Research Organization:
- Thomas Jefferson National Accelerator Facility (TJNAF), Newport News, VA (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC)
- DOE Contract Number:
- AC05-06OR23177
- OSTI ID:
- 1113658
- Report Number(s):
- JLAB-ACP-13-1731; DOE/OR/23177-2819
- Resource Relation:
- Conference: North American Particle Accelerator Conference (PAC13), 29 Sep - 4 Oct 2013. Pasadena, CA
- Country of Publication:
- United States
- Language:
- English
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