ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1811.07806
  4. Cited By
Pareto Optimization for Subset Selection with Dynamic Cost Constraints

Pareto Optimization for Subset Selection with Dynamic Cost Constraints

14 November 2018
Vahid Roostapour
Aneta Neumann
Frank Neumann
Tobias Friedrich
ArXivPDFHTML

Papers citing "Pareto Optimization for Subset Selection with Dynamic Cost Constraints"

5 / 5 papers shown
Title
Stochastic Population Update Can Provably Be Helpful in Multi-Objective Evolutionary Algorithms
Stochastic Population Update Can Provably Be Helpful in Multi-Objective Evolutionary Algorithms
Chao Bian
Yawen Zhou
Mingxing Li
Chao Qian
41
34
0
05 Jun 2023
Runtime Performance of Evolutionary Algorithms for the Chance-constrained Makespan Scheduling Problem
Runtime Performance of Evolutionary Algorithms for the Chance-constrained Makespan Scheduling Problem
Feng Shi
Xiankun Yan
Frank Neumann
Frank Neumann
118
0
0
22 Dec 2022
Multi-objective Evolutionary Algorithms are Still Good: Maximizing
  Monotone Approximately Submodular Minus Modular Functions
Multi-objective Evolutionary Algorithms are Still Good: Maximizing Monotone Approximately Submodular Minus Modular Functions
Chao Qian
29
23
0
12 Oct 2019
On the Runtime of Randomized Local Search and Simple Evolutionary
  Algorithms for Dynamic Makespan Scheduling
On the Runtime of Randomized Local Search and Simple Evolutionary Algorithms for Dynamic Makespan Scheduling
Frank Neumann
Carsten Witt
48
32
0
23 Apr 2015
Submodular Optimization with Submodular Cover and Submodular Knapsack
  Constraints
Submodular Optimization with Submodular Cover and Submodular Knapsack Constraints
Rishabh K. Iyer
J. Bilmes
57
258
0
08 Nov 2013
1