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Journal Abstract Search
747 related items for PubMed ID: 21591888
1. Multimodal optimization using a bi-objective evolutionary algorithm. Deb K, Saha A. Evol Comput; 2012; 20(1):27-62. PubMed ID: 21591888 [Abstract] [Full Text] [Related]
2. An efficient and accurate solution methodology for bilevel multi-objective programming problems using a hybrid evolutionary-local-search algorithm. Deb K, Sinha A. Evol Comput; 2010; 18(3):403-49. PubMed ID: 20560758 [Abstract] [Full Text] [Related]
3. A new evolutionary algorithm for solving many-objective optimization problems. Zou X, Chen Y, Liu M, Kang L. IEEE Trans Syst Man Cybern B Cybern; 2008 Oct; 38(5):1402-12. PubMed ID: 18784020 [Abstract] [Full Text] [Related]
4. Introducing robustness in multi-objective optimization. Deb K, Gupta H. Evol Comput; 2006 Oct; 14(4):463-94. PubMed ID: 17109607 [Abstract] [Full Text] [Related]
5. Evaluating the epsilon-domination based multi-objective evolutionary algorithm for a quick computation of Pareto-optimal solutions. Deb K, Mohan M, Mishra S. Evol Comput; 2005 Oct; 13(4):501-25. PubMed ID: 16297281 [Abstract] [Full Text] [Related]
6. Combining convergence and diversity in evolutionary multiobjective optimization. Laumanns M, Thiele L, Deb K, Zitzler E. Evol Comput; 2002 Oct; 10(3):263-82. PubMed ID: 12227996 [Abstract] [Full Text] [Related]
7. Strength Pareto particle swarm optimization and hybrid EA-PSO for multi-objective optimization. Elhossini A, Areibi S, Dony R. Evol Comput; 2010 Oct; 18(1):127-56. PubMed ID: 20064026 [Abstract] [Full Text] [Related]
8. MOMMOP: multiobjective optimization for locating multiple optimal solutions of multimodal optimization problems. Wang Y, Li HX, Yen GG, Song W. IEEE Trans Cybern; 2015 Apr; 45(4):830-43. PubMed ID: 25099966 [Abstract] [Full Text] [Related]
9. Solving the multiple competitive facilities location and design problem on the plane. Redondo JL, Fernández J, García I, Ortigosa PM. Evol Comput; 2009 Apr; 17(1):21-53. PubMed ID: 19207087 [Abstract] [Full Text] [Related]
10. An orthogonal multi-objective evolutionary algorithm for multi-objective optimization problems with constraints. Zeng SY, Kang LS, Ding LX. Evol Comput; 2004 Apr; 12(1):77-98. PubMed ID: 15096306 [Abstract] [Full Text] [Related]
11. An impatient evolutionary algorithm with probabilistic tabu search for unified solution of some NP-hard problems in graph and set theory via clique finding. Guturu P, Dantu R. IEEE Trans Syst Man Cybern B Cybern; 2008 Jun; 38(3):645-66. PubMed ID: 18558530 [Abstract] [Full Text] [Related]
12. Multi-objective optimization with controlled model assisted evolution strategies. Braun J, Krettek J, Hoffmann F, Bertram T. Evol Comput; 2009 Jun; 17(4):577-93. PubMed ID: 19916780 [Abstract] [Full Text] [Related]
13. The hierarchical fair competition (HFC) framework for sustainable evolutionary algorithms. Hu J, Goodman E, Seo K, Fan Z, Rosenberg R. Evol Comput; 2005 Jun; 13(2):241-77. PubMed ID: 15969902 [Abstract] [Full Text] [Related]
14. Efficient and scalable Pareto optimization by evolutionary local selection algorithms. Menczer F, Degeratu M, Street WN. Evol Comput; 2000 Jun; 8(2):223-47. PubMed ID: 10843522 [Abstract] [Full Text] [Related]
15. Local search with quadratic approximations into memetic algorithms for optimization with multiple criteria. Wanner EF, Guimarães FG, Takahashi RH, Fleming PJ. Evol Comput; 2008 Jun; 16(2):185-224. PubMed ID: 18554100 [Abstract] [Full Text] [Related]
16. Analysis of (1+1) evolutionary algorithm and randomized local search with memory. Sung CW, Yuen SY. Evol Comput; 2011 Jun; 19(2):287-323. PubMed ID: 20868262 [Abstract] [Full Text] [Related]
17. A dynamic hybrid framework for constrained evolutionary optimization. Wang Y, Cai Z. IEEE Trans Syst Man Cybern B Cybern; 2012 Feb; 42(1):203-17. PubMed ID: 21824851 [Abstract] [Full Text] [Related]
18. Multiobjective optimization of temporal processes. Song Z, Kusiak A. IEEE Trans Syst Man Cybern B Cybern; 2010 Jun; 40(3):845-56. PubMed ID: 19900853 [Abstract] [Full Text] [Related]
19. Evolutionary and principled search strategies for sensornet protocol optimization. Tate J, Woolford-Lim B, Bate I, Yao X. IEEE Trans Syst Man Cybern B Cybern; 2012 Feb; 42(1):163-80. PubMed ID: 21859628 [Abstract] [Full Text] [Related]
20. Test problem construction for single-objective bilevel optimization. Sinha A, Malo P, Deb K. Evol Comput; 2014 Feb; 22(3):439-77. PubMed ID: 24364674 [Abstract] [Full Text] [Related] Page: [Next] [New Search]