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Multi-objective evolutionary algorithms are generally good: Maximizing monotone submodular functions over sequences

  • Published:2023-01 Issue: Volume:943 Page:241-266
  • ISSN:0304-3975
  • Container-title:Theoretical Computer Science
  • language:en
  • Short-container-title:Theoretical Computer Science

Author:

Qian Chao,Liu Dan-Xuan,Feng Chao,Tang Ke

Funder

Shenzhen Peacock Plan

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

General Computer Science,Theoretical Computer Science

Reference55 articles.

1. Maximizing sequence-submodular functions and its application to online advertising;Alaei;Manag. Sci.,2021

2. Optimal greedy diversity for recommendation;Ashkan,2015

3. Theory of Randomized Search Heuristics: Foundations and Recent Developments;Auger,2011

4. Evolutionary Algorithms in Theory and Practice: Evolution Strategies, Evolutionary Programming, Genetic Algorithms;Bäck,1996

5. An efficient greedy algorithm for sequence recommendation;Benouaret,2019

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