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1. Massively parallel CMA-ES with increasing population

2. Speeding up the Multi-objective NAS Through Incremental Learning

3. Scalable Quantum Approximate Optimiser for Pseudo-Boolean Multi-objective Optimisation

6. On the Combined Impact of Population Size and Sub-problem Selection in MOEA/D

7. Surrogate Assisted Evolutionary Algorithm for Medium Scale Expensive Multi-Objective Optimisation Problems

9. Decomposition-Based Multi-objective Landscape Features and Automated Algorithm Selection

11. On Stochastic Fitness Landscapes: Local Optimality and Fitness Landscape Analysis for Stochastic Search Operators

12. On the Design of a Partition Crossover for the Quadratic Assignment Problem

13. Dominance, Indicator and Decomposition Based Search for Multi-objective QAP: Landscape Analysis and Automated Algorithm Selection

14. Dynamic Compartmental Models for Large Multi-objective Landscapes and Performance Estimation

15. Approximating Pareto Set Topology by Cubic Interpolation on Bi-objective Problems

16. Estimating Relevance of Variables for Effective Recombination

17. On the Impact of Multiobjective Scalarizing Functions

18. On Pareto Local Optimal Solutions Networks

19. A Surrogate Model Based on Walsh Decomposition for Pseudo-Boolean Functions

20. On the Design of a Master-Worker Adaptive Algorithm Selection Framework

21. On Neighborhood Tree Search

23. DAMS: Distributed Adaptive Metaheuristic Selection

24. Popliteal artery pseudoaneurysms in patients affected by osteochondroma.

30. Using Parallel Strategies to Speed up Pareto Local Search

31. Towards Landscape-Aware Automatic Algorithm Configuration: Preliminary Experiments on Neutral and Rugged Landscapes

32. A Fitness Landscape Analysis of Pareto Local Search on Bi-objective Permutation Flowshop Scheduling Problems

33. An Approach for the Local Exploration of Discrete Many Objective Optimization Problems

38. Multi-objective Local Search Based on Decomposition

39. A Fitness Cloud Model for Adaptive Metaheuristic Selection Methods

40. Distributed Adaptive Metaheuristic Selection: Comparisons of Selection Strategies

43. Geometric Differential Evolution in MOEA/D: A Preliminary Study

45. An Analysis of Differential Evolution Parameters on Rotated Bi-objective Optimization Functions

46. Shake Them All! : Rethinking Selection and Replacement in MOEA/D

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