Published March 2006 | Version v1
Journal article Metadata-only

A Multi-Objective Hybrid Genetic Based Optimization for External Beam Radiation

Creators

  • 1. Institute of Plasma Physics, Chinese Academy of Sciences, Hefei 230031 (China)
  • 2. School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009 (China)

Description

A multi-objective hybrid genetic based optimization algorithm is proposed according to the multi-objective property of inverse planning. It is based on hybrid adaptive genetic algorithm which combines the simulated annealing, uses adaptive crossover and mutation, and adopts niched tournament selection. The result of the test calculation demonstrates that an excellent converging speed can be achieved using this approach

Availability note (English)

Available online at http://stacks.iop.org/1009-0630/8/234/pst6_2_023.pdf or at the Web site for the journal Plasma Science and Technology (ISSN 1009-0630) http://www.iop.org/

Additional details

Identifiers

URL
http://stacks.iop.org/1009-0630/8/234/pst6_2_023.pdf; http://www.iop.org/;
DOI
10.1088/1009-0630/8/2/23;

Publishing Information

Journal Title
Plasma Science and Technology
Journal Volume
8
Journal Issue
2
Journal Page Range
p. 234-236
ISSN
1009-0630

INIS

Country of Publication
China
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
38009743
Subject category
S70: PLASMA PHYSICS AND FUSION TECHNOLOGY;
Descriptors DEI
ALGORITHMS; ANNEALING; BEAMS; OPTIMIZATION; VELOCITY
Descriptors DEC
HEAT TREATMENTS; MATHEMATICAL LOGIC