See this document in CiteSeerX!

Full Elite Sets for Multi-Objective Optimisation  (Make Corrections)  (8 citations)
Richard Everson, Jonathan Fieldsend, Sameer Singh
Proceedings of the fifth internatioanl conference on adaptive computing in design and manufacture (ACDM)



  Home/Search   Context   Related

 
View or download:
dcs.ex.ac.uk/people/jefie...advcomp.pdf
Cached:  PS.gz  PS  PDF   Image  Update  Help

From:  dcs.ex.ac.uk/people/je...seminars (more)
(Enter author homepages)

Rate this article: (best)
  Comment on this article  
(Enter summary)

Abstract: Multi-objective evolutionary algorithms frequently use an archive of non-dominated solutions to approximate the Pareto front. We show that the truncation of this archive to a limited number of solutions can lead to oscillating and shrinking estimates of the Pareto front. New data structures to permit efficient query and update of the full archive are proposed, and the superior quality of frontal estimates found using the full archive is illustrated on test problems. (Update)

Context of citations to this paper:   More

.... of restricting the number of solutions in the elite front can be shrinking [19] and oscillating retreating estimated Pareto fronts [20, 21, 22]. These problems also occur in SPEA, PAES and other existing MOEAs which use a truncated elite archive. A remedy to this situation...

...as time progresses. Recent work has also investigated efficient approaches to the storing and maintenance of F as its size grows [14, 17, 41]. Here a framework for general multi objective evolutionary neural network (MOENN) training is outlined in Figure 2, which can be...

Cited by:   More
Multi-Objective Particle Swarm Optimisation Methods. - Jonathan Fieldsend St   (Correct)
Pareto Multi-Objective Non-Linear Regression - Modelling To Aid   (Correct)
Pareto Evolutionary Neural Networks - Jonathan Fieldsend Member   (Correct)

Similar documents (at the sentence level):   More
68.3%:   Full Elite Sets for Multi-Objective Optimisation - Everson, Fieldsend, Singh (2002)   (Correct)
58.3%:   Full Elite Sets for Multi-objective Optimisation - Everson, Fieldsend, Singh (2002)   (Correct)
20.4%:   Extensions to the Strength Pareto Evolutionary Algorithm. - Fieldsend, Everson, Singh (2001)   (Correct)

Active bibliography (related documents):   More   All
0.1:   On the Selection of Gbest, Lbest and Pbest Individuals, the.. - Fieldsend, Singh (2002)   (Correct)
0.1:   Pareto Multi-Objective Non-Linear Regression Modelling to.. - Fieldsend, Singh (2002)   (Correct)
0.1:   A Short Tutorial on Evolutionary Multiobjective Optimization - Coello (2001)   (Correct)

Similar documents based on text:   More   All
0.6:   A Case Study of a Multiobjective Elitist Recombinative.. - Neef, Thierens.. (1999)   (Correct)
0.6:   Evolutionary Algorithms for Multiobjective Optimization - Zitzler (2002)   (Correct)

Related documents from co-citation:   More   All
7:   An overview of evolutionary algorithms in multiobjective optimization - Fonseca, Fleming - 1995
7:   A comprehensive survey of evolutionary based multiobjective optimization techniq.. - Coello - 1998
7:   Multipleobjective optimization with vector evaluated genetic algorithms (context) - Schaffer - 1985

BibTeX entry:   (Update)

R.M. Everson, J.E. Fieldsend, and S. Singh. Full Elite-Sets for Multiobjective Optimisation. In Proceedings of the fifth internatioanl conference on adaptive computing in design and manufacture (ACDM http://citeseer.ist.psu.edu/481929.html   More

@inproceedings{ everson-full,
  author = "R. Everson and J. Fieldsend and S. Singh",
  title = "Full Elite-Sets for Multiobjective Optimisation",
  booktitle = "Proceedings of the fifth internatioanl conference on adaptive
    computing in design and manufacture (ACDM)",
  url = "citeseer.ist.psu.edu/481929.html" }
Citations (may not include all citations):
162   Genetic Algorithms for Multiobjective Optimization: Formulat.. - Fonseca, Fleming - 1993
133   Multiobjective Optimization Using Nondominated Sorting in Ge.. - Srinivas, Deb - 1995
127   A Niched Pareto Genetic Algorithm for Multiobjective Optimiz.. - Horn, Nafpliotis et al. - 1994
104   Evolutionary Algorithms for Multiobjective Optimization: Met.. - Zitzler - 1999
99   Comparison of Multiobjective Evolutionary Algorithms: Empiri.. - Zitzler, Deb et al. - 2000
54   Multiobjective Evolutionary Algorithms: Analyzing the State-.. - Van Veldhuizen, Lamont - 2000
46   Genetic search strategies in multicriterion optimal design (context) - Hajela, Lin - 1992
37   Multiple objective optimization with vector evaluated geneti.. (context) - Scha - 1985
9   Pareto MultiObjective Non-Linear Regression Modelling to Aid.. - Fieldsend, Singh - 2002
8   Extensions to the strength pareto evolutionary algorithm - Fieldsend, Everson et al. - 2001
3   ed Model for Multi-Objective Evolutionary Algorithms with El.. (context) - Laumanns, Zitzler et al.



The graph only includes citing articles where the year of publication is known.


Documents on the same site (http://www.dcs.ex.ac.uk/people/jefields/seminars.htm):
Extensions to the Strength Pareto Evolutionary Algorithm. - Fieldsend, Everson, Singh (2001)   (Correct)

Online articles have much greater impact   More about CiteSeer.IST   Add search form to your site   Submit documents   Feedback  

CiteSeer.IST - Copyright Penn State and NEC