Multimodal scalarized preferences in multi-objective optimization-Reference-Cited by-同舟云学术

Multimodal scalarized preferences in multi-objective optimization

Published:2017-07 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Genetic and Evolutionary Computation Conference
language:
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Author:

Braun Marlon¹,Heling Lars²,Shukla Pradyumn¹,Schmeck Hartmut¹

Affiliation:

1. Institute AIFB, KIT, Germany

2. Lars Heling

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3071178.3079189

Reference26 articles.

1. Simulated binary crossover for continuous search space;Agrawal Ram Bhusan;Complex Systems,1994

2. Marlon Braun Thomas Dengiz Ingo Mauser and Hartmut Schmeck. 2016. Applications of Evolutionary Computation: 19th European Conference EvoApplications 2016 Proceedings Part I. Springer Chapter Comparison of Multi-objective Evolutionary Optimization in Smart Building Scenarios 443--458. Marlon Braun Thomas Dengiz Ingo Mauser and Hartmut Schmeck. 2016. Applications of Evolutionary Computation: 19th European Conference EvoApplications 2016 Proceedings Part I . Springer Chapter Comparison of Multi-objective Evolutionary Optimization in Smart Building Scenarios 443--458.

3. Marlon Alexander Braun Pradyumn Kumar Shukla and Hartmut Schmeck. 2011. Preference Ranking Schemes in Multi-Objective Evolutionary Algorithms. In EMO (LNCS) Ricardo H.C. Takahashi and others (Eds.) Vol. 6576. Springer 226--240. Marlon Alexander Braun Pradyumn Kumar Shukla and Hartmut Schmeck. 2011. Preference Ranking Schemes in Multi-Objective Evolutionary Algorithms. In EMO (LNCS) Ricardo H.C. Takahashi and others (Eds.) Vol. 6576. Springer 226--240.

4. Marlon Alexander Braun Pradyumn Kumar Shukla and Hartmut Schmeck. 2015. Obtaining Optimal Pareto Front Approximations Using Scalarized Preference Information. In GECCO. ACM New York NY USA 631--638. 10.1145/2739480.2754674 Marlon Alexander Braun Pradyumn Kumar Shukla and Hartmut Schmeck. 2015. Obtaining Optimal Pareto Front Approximations Using Scalarized Preference Information. In GECCO . ACM New York NY USA 631--638. 10.1145/2739480.2754674

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