SDMOGA: A New Multi-objective Genetic Algorithm Based on Objective Space Divided

1. Coello, C.A.C.: A Short Tutorial on Evolutionary Multiobjective Optimization. In: Zitzler, E., Deb, K., Thiele, L., Coello, C.A.C., Corne, D. (eds.) First International Conference on Evolutionary Multi-Criterion Optimization. LNCS, pp. 21–40. Springer, Heidelberg (2001)

   Chapter  Google Scholar 

2. Veldhuizen, D.A.V., Lamont, G.B.: Multiobjective Evolutionary Algorithms: Analyzing the State-of-the-Art. Evolutionary Computation 8(2), 125–147 (2000)

   Article  Google Scholar 

3. Schaffer, J.D.: Multiple objective optimization with vector evaluated genetic algorithms. In: Genetic Algorithms and their Applications: Proceedings of the First International Conference on Genetic Algorithms, Lawrence Erlbaum, pp. 93–100. Lawrence Erlbaum, Mahwah (1985)

   Google Scholar 

4. Zitzler, E., Laumanns, M., Thiele, L.: SPEA2: Improving the Strength Pareto Evolutionary Algorithm. Technical Report 103, Computer Engineering and Networks Laboratory(TIK), Swiss Federal Institute of Technology(ETH) Zurich, Gloriastrasse 35, CH-8092 Zurich, Switzerland (May 2001)

   Google Scholar 

5. Knowles, J.D., Corne, D.W.: Approximating the nondominated front using the pareto archived evolution strategy. Evolutionary Computation 8(2), 149–172 (2000)

   Article  Google Scholar 

6. Deb, K., Pratap, A., Agarwal, S., Meyarivan, T.: A Fast and Elitist Multiobjective Genetic Algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation 6(2), 182–197 (2002)

   Article  Google Scholar 

7. Coello, C.A.C., Pulido, G.T.: A Micro-Genetic Algorithm for Multiobjective Optimization. In: Zitzler, K., Deb, L., Thiele, C.A.C., Coello, D. (eds.) First International Conference on Evolutionary Multi-Criterion Optimization. LNCS, pp. 126–140. Springer, Heidelberg (2001)

   Chapter  Google Scholar 

8. Coello, C.A.C.: An Updated Survey of Evolutionary Multiobjective Optimization Techniques:State of the Art and Future Trends. In: 1999 Congress on Evolutionary Computation, Washington, D.C, July 1999, vol. 1, pp. 3–13 (1999)

   Google Scholar 

9. Coello, C.A.C.: Evolutionary Multiobjective Optimization: Current and Future Challenged. In: Benitez, J., Cordon, O., Hoffmann, F., Roy, R. (eds.) Advances in Soft Computing—Engineering, Design and Manufacturing, September 2003, pp. 243–256. Springer, Heidelberg (2003)

   Google Scholar 

10. Fieldsend, J.E., Everson, R.M., Singh, S.: Using Unconstrained Elite Archives for Multi-Objective Optimisation. TIEEE Transactions on Evolutionary ComputationT 7(3), 305–323 (2003)

    Article  Google Scholar 

11. Deb, K.: Multi-Objective genetic algorithms: Problem difficulties and construction of test problems. Evolutionary Computation 7(30), 205–230 (1999)

    Article  Google Scholar 

12. Bleuler, S., Laumanns, M., Thiele, L., Zitzler, E.: PISA - A Platform and Programming Language Independent Interface for Search Algorithms. In: Fonseca, C.M., Fleming, P.J., Zitzler, E., Deb, K., Thiele, L. (eds.) EMO 2003. LNCS, vol. 2632, pp. 494–508. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

Download references