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Application of Multi-Objective Particle Swarm Optimization in the Design Optimization of Alternative Phase Focused DTL[J]. Nuclear Physics Review, 2015, 32(4): 415-420. doi: 10.11804/NuclPhysRev.32.04.415
Citation: Application of Multi-Objective Particle Swarm Optimization in the Design Optimization of Alternative Phase Focused DTL[J]. Nuclear Physics Review, 2015, 32(4): 415-420. doi: 10.11804/NuclPhysRev.32.04.415

Application of Multi-Objective Particle Swarm Optimization in the Design Optimization of Alternative Phase Focused DTL

doi: 10.11804/NuclPhysRev.32.04.415
  • Received Date: 2015-04-19
  • Accepted Date: 2015-12-20
  • Publish Date: 2015-12-20
  • The Particle Swarm Optimization(PSO), one of the modern intelligent optimization algorithms,is increasingly employed in the design and optimization of accelerators. Alternative Phase Focused Drift Tube Linac(APF DTL) has an advantage in cost-effecient fabrication and reduced construction space. The preliminary design of APF DTL is involved in the optimization as the anchor; by taking the acceleration efficiency and the beam energy as two fitness functions, the Pareto optimal set is obtained; the evolutionary direction is determined by the Pareto optimal set and the particles’ parameters in the optimization are derived from the simulations of the randomly selected Pareto optimal solutions. A final optimized design with extracted energy of 5.35 MeV/u
    and acceleration efficiency greater than 83% is acquired.

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通讯作者: 陈斌, bchen63@163.com
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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Application of Multi-Objective Particle Swarm Optimization in the Design Optimization of Alternative Phase Focused DTL

doi: 10.11804/NuclPhysRev.32.04.415

Abstract: The Particle Swarm Optimization(PSO), one of the modern intelligent optimization algorithms,is increasingly employed in the design and optimization of accelerators. Alternative Phase Focused Drift Tube Linac(APF DTL) has an advantage in cost-effecient fabrication and reduced construction space. The preliminary design of APF DTL is involved in the optimization as the anchor; by taking the acceleration efficiency and the beam energy as two fitness functions, the Pareto optimal set is obtained; the evolutionary direction is determined by the Pareto optimal set and the particles’ parameters in the optimization are derived from the simulations of the randomly selected Pareto optimal solutions. A final optimized design with extracted energy of 5.35 MeV/u
and acceleration efficiency greater than 83% is acquired.

Application of Multi-Objective Particle Swarm Optimization in the Design Optimization of Alternative Phase Focused DTL[J]. Nuclear Physics Review, 2015, 32(4): 415-420. doi: 10.11804/NuclPhysRev.32.04.415
Citation: Application of Multi-Objective Particle Swarm Optimization in the Design Optimization of Alternative Phase Focused DTL[J]. Nuclear Physics Review, 2015, 32(4): 415-420. doi: 10.11804/NuclPhysRev.32.04.415

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