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Title: Genetic algorithms and their applications in accelerator physics

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.
Authors:
 [1]
  1. JLAB
Publication Date:
OSTI Identifier:
1113658
Report Number(s):
JLAB-ACP-13-1731; DOE/OR/23177-2819
DOE Contract Number:
AC05-06OR23177
Resource Type:
Conference
Resource Relation:
Conference: North American Particle Accelerator Conference (PAC13), 29 Sep - 4 Oct 2013. Pasadena, CA
Research Org:
Thomas Jefferson National Accelerator Facility, Newport News, VA (United States)
Sponsoring Org:
USDOE Office of Science (SC)
Country of Publication:
United States
Language:
English
Subject:
43 PARTICLE ACCELERATORS