Using Comparative Preference Statements in Hypervolume-Based Interactive Multiobjective Optimization-Reference-Cited by-同舟云学术

Using Comparative Preference Statements in Hypervolume-Based Interactive Multiobjective Optimization

Published:2014 Issue: Volume: Page:121-136
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Brockhoff Dimo,Hamadi Youssef,Kaci Souhila

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-09584-4_13

Reference25 articles.

1. Auger, A., Bader, J., Brockhoff, D., Zitzler, E.: Articulating user preferences in many-objective problems by sampling the weighted hypervolume. In: Genetic and Evolutionary Computation Conference (GECCO 2009), pp. 555–562. ACM (2009)

2. Bader, J., Zitzler, E.: HypE: an algorithm for fast hypervolume-based many-objective optimization. Evol. Comput. 19(1), 45–76 (2011)

3. Benferhat, S., Dubois, D., Kaci, S., Prade, H.: Bipolar representation and fusion of preferences in the possibilistic logic framework. In: KR’02, pp. 421–432 (2002)

4. Beume, N., Naujoks, B., Emmerich, M.: SMS-EMOA: multiobjective selection based on dominated hypervolume. Eur. J. Oper. Res. 181(3), 1653–1669 (2007)

5. Lecture Notes in Computer Science;S Bleuler,2003

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Compact Representation of Preferences;A Guided Tour of Artificial Intelligence Research;2020

2. Preference-based evolutionary multi-objective optimization in ship weather routing;Applied Soft Computing;2019-11

3. GECCO 2016 Tutorial on Evolutionary Multiobjective Optimization;Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion;2016-07-20

4. An Interactive Simple Indicator-Based Evolutionary Algorithm (I-SIBEA) for Multiobjective Optimization Problems;Lecture Notes in Computer Science;2015