Global optimization of an accelerator lattice using multiobjective genetic algorithms

[1]  F. Sannibale,et al.  Global analysis of all linear stable settings of a storage ring lattice , 2008 .

[2]  Matthias Ehrgott,et al.  Multicriteria Optimization , 2005 .

[3]  L. Emery.  Global Optimization of Damping Ring Designs Using A Multi-Objective Evolutionary Algorithm , 2005, Proceedings of the 2005 Particle Accelerator Conference.

[4]  Charles Sinclair,et al.  Multivariate optimization of a high brightness dc gun photoinjector , 2005 .

[5]  Kalyanmoy Deb,et al.  A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..

[6]  Kalyanmoy Deb,et al.  Multi-objective optimization using evolutionary algorithms , 2001, Wiley-Interscience series in systems and optimization.

[7]  M. Borland,et al.  Elegant : a flexible SDDS-compliant code for accelerator simulation. , 2000 .

[8]  Thomas Bäck,et al.  Evolutionary computation: comments on the history and current state , 1997, IEEE Trans. Evol. Comput..

[9]  J. Dennis,et al.  A closer look at drawbacks of minimizing weighted sums of objectives for Pareto set generation in multicriteria optimization problems , 1997 .

[10]  R. S. Laundy,et al.  Multiple Criteria Optimisation: Theory, Computation and Application , 1989 .

[11]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[12]  Kwang-Je Kim,et al.  Brightness, coherence, and propagation characteristics of synchrotron radiation , 1986 .

[13]  S. Krinsky.  Undulators as Sources of Synchrotron Radiation , 1983, IEEE Transactions on Nuclear Science.

[14]  T. L. Vincent,et al.  Optimality in parametric systems , 1981 .

[15]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .