1E.Zitzler, L.Thiele,Multiobjective Evolutionary A1- gorithms:A Comparative Case Study and the Strength Pareto Approach,IEEE Trans.Evolutionary Computation [M].vol.3,1999: 257-271.
2E.Zitzler, M.Laumanns and L.Thiele,SPEA2:Imp- roving the Strength Pareto Evolutionary Algorithm, Tech. Rep.,Computer Engineering and Networks Laboratory (TIK),Swiss Federal Institute of Technology (ETH), Switzerland,2001.
3J.D.Knowles,D.W.Come,The pareto archived evo- lution strategy:A new baseline algorithm for pareto mul- tiobjective optimization, in 1999 Proc. IEEE Conf. Evo- lutionary Computation: 98-105.
4K.Deb, A.Pratap, S.Agarwal and T.Meyarivan, A fast and elitist multiobjective genetic algorithm: NS- GA-II, IEEE Trans. Evolutionary Computation [M], voL 6, 2002: 182-197.
5D.W.Come,J.D.Knowles and M.J.Oates,The pare- to envelope-based selection algorithm for muhiobjective optimization, in 2000 Proc. Parallel Problem Solving from Nature (PPSN VI):839-848.
6Jiao Licheng, Du Haifeng.Artificial immune sys- tem: progress and prospect (in Chinese). ACTA ELEC- TRONICA SINICA[M], 2003, 31(10):1540-1548.
7C. A.Coello Coello, A Comprehensive Survey of Evolutionary-Based Muhiobjective Optimization Tech- niques, Knowledge and Information Systems [M], vol. 1, 1999,: 269-308.
8C. A. Coello Coello, N. C. Cortss, An Approach to Solve Multiobjective Optimization Problems Based onan Artificial Immune System, in 2002 Proc. ICARIS'02, UK:212-221.
9Bin Zhang,Weihua Ren, Lihua Zhao, Xiaozheng Deng, Immune System Multiobjective Optimization Algo- rithm for DTLZ Problems, in 2009 Proc. IEEE Conf. Natural Computation: 603-607.
10R.J.Schott, Fault, Tolerant Design Using Singleand Muhictiteria Genetic Algorithm Optimization, Masters Thesis, Massachusetts Institute of Technology, Cam- bridge, Massachusetts, 1995.
