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Items: 1 to 20 of 193

1.

A preference-based evolutionary algorithm for multi-objective optimization.

Thiele L, Miettinen K, Korhonen PJ, Molina J.

Evol Comput. 2009 Fall;17(3):411-36. doi: 10.1162/evco.2009.17.3.411.

PMID:
19708774
2.
3.

Strength Pareto particle swarm optimization and hybrid EA-PSO for multi-objective optimization.

Elhossini A, Areibi S, Dony R.

Evol Comput. 2010 Spring;18(1):127-56. doi: 10.1162/evco.2010.18.1.18105.

PMID:
20064026
4.
5.

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. doi: 10.1109/TSMCB.2008.926329.

PMID:
18784020
6.

Combining convergence and diversity in evolutionary multiobjective optimization.

Laumanns M, Thiele L, Deb K, Zitzler E.

Evol Comput. 2002 Fall;10(3):263-82.

PMID:
12227996
7.

Introducing robustness in multi-objective optimization.

Deb K, Gupta H.

Evol Comput. 2006 Winter;14(4):463-94.

PMID:
17109607
8.

Interactive reference point procedure based on the conic scalarizing function.

Ustun O.

ScientificWorldJournal. 2014 Feb 27;2014:242803. doi: 10.1155/2014/242803. eCollection 2014.

9.

An efficient non-dominated sorting method for evolutionary algorithms.

Fang H, Wang Q, Tu YC, Horstemeyer MF.

Evol Comput. 2008 Fall;16(3):355-84. doi: 10.1162/evco.2008.16.3.355.

PMID:
18811246
10.

On the use of problem-specific candidate generators for the hybrid optimization of multi-objective production engineering problems.

Weinert K, Zabel A, Kersting P, Michelitsch T, Wagner T.

Evol Comput. 2009 Winter;17(4):527-44. doi: 10.1162/evco.2009.17.4.17405.

PMID:
19916775
11.

Global WASF-GA: An Evolutionary Algorithm in Multiobjective Optimization to Approximate the Whole Pareto Optimal Front.

Saborido R, Ruiz AB, Luque M.

Evol Comput. 2016 Feb 8:1-41. [Epub ahead of print]

PMID:
26855136
12.

Interactive evolutionary multiobjective search and optimization of set-based concepts.

Avigad G, Moshaiov A.

IEEE Trans Syst Man Cybern B Cybern. 2009 Aug;39(4):1013-27. doi: 10.1109/TSMCB.2008.2011565. Epub 2009 Mar 24.

PMID:
19336329
13.
14.

Automatic calibration of urban drainage model using a novel multi-objective genetic algorithm.

di Pierro F, Djordjević S, Kapelan Z, Khu ST, Savić D, Walters GA.

Water Sci Technol. 2005;52(5):43-52.

PMID:
16248179
15.

Multi-objective optimization with controlled model assisted evolution strategies.

Braun J, Krettek J, Hoffmann F, Bertram T.

Evol Comput. 2009 Winter;17(4):577-93. doi: 10.1162/evco.2009.17.4.17408.

PMID:
19916780
16.

Efficient and scalable Pareto optimization by evolutionary local selection algorithms.

Menczer F, Degeratu M, Street WN.

Evol Comput. 2000 Summer;8(2):223-47.

PMID:
10843522
17.

HypE: an algorithm for fast hypervolume-based many-objective optimization.

Bader J, Zitzler E.

Evol Comput. 2011 Spring;19(1):45-76. doi: 10.1162/EVCO_a_00009. Epub 2010 Jul 22.

PMID:
20649424
18.

Covariance matrix adaptation for multi-objective optimization.

Igel C, Hansen N, Roth S.

Evol Comput. 2007 Spring;15(1):1-28.

PMID:
17388777
19.

Local search with quadratic approximations into memetic algorithms for optimization with multiple criteria.

Wanner EF, Guimarães FG, Takahashi RH, Fleming PJ.

Evol Comput. 2008 Summer;16(2):185-224. doi: 10.1162/evco.2008.16.2.185.

PMID:
18554100
20.

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