Name
Playground
About
FAQ
GitHub
Playground
Shortest Path Finder
Community Detector
Connected Papers
Author Trending
Tidjani Négadi
Gregory Hackmann
Jhonathan Pinzon
Liangliang Shang
Giovanni Venturelli
Chen Ma
Jing-Sheng Wong
Radu Timofte
Won-Jin Moon
Ernesto Posse
Home
/
Author
/
ARINA BUZDALOVA
Author Info
Open Visualization
Name
Affiliation
Papers
ARINA BUZDALOVA
St Petersburg Natl Res Univ Informat Technol, St Petersburg 197101, Russia
22
Collaborators
Citations
PageRank
19
61
9.42
Referers
Referees
References
44
151
192
Search Limit
100
151
Publications (22 rows)
Collaborators (19 rows)
Referers (44 rows)
Referees (100 rows)
Title
Citations
PageRank
Year
Illustrating the trade-off between time, quality, and success probability in heuristic search - a discussion paper.
0
0.34
2019
Fixed-target runtime analysis of the (1 + 1) EA with resampling.
0
0.34
2019
Offspring population size matters when comparing evolutionary algorithms with self-adjusting mutation rates
0
0.34
2019
Runtime analysis of a population-based evolutionary algorithm with auxiliary objectives selected by reinforcement learning.
0
0.34
2018
Selection of Auxiliary Objectives Using Landscape Features and Offline Learned Classifier.
0
0.34
2017
Reinforcement Learning Based Dynamic Selection of Auxiliary Objectives with Preserving of the Best Found Solution.
1
0.37
2017
Adaptive Parameter Selection in Evolutionary Algorithms by Reinforcement Learning with Dynamic Discretization of Parameter Range.
2
0.39
2016
Fitness-Dependent Hybridization of Clonal Selection Algorithm and Random Local Search.
0
0.34
2016
Selection of Auxiliary Objectives in the Travelling Salesman Problem using Reinforcement Learning
0
0.34
2015
Analysis Of Q-Learning With Random Exploration For Selection Of Auxiliary Objectives In Random Local Search
0
0.34
2015
Can Onemax Help Optimizing Leadingones Using The Ea Plus Rl Method?
1
0.38
2015
Selection of Auxiliary Objectives with Multi-Objective Reinforcement Learning
1
0.34
2015
Selecting evolutionary operators using reinforcement learning: initial explorations
0
0.34
2014
NSGA-II implementation details may influence quality of solutions for the job-shop scheduling problem
0
0.34
2014
Onemax helps optimizing XdivK:: theoretical runtime analysis for RLS and EA+RL
6
0.49
2014
Improved Selection of Auxiliary Objectives Using Reinforcement Learning in Non-stationary Environment
3
0.41
2014
Generation of tests for programming challenge tasks using multi-objective optimization
7
0.57
2013
Adaptive selection of helper-objectives for test case generation
5
0.53
2013
Improved Helper-Objective Optimization Strategy for Job-Shop Scheduling Problem
4
0.48
2013
Generation of Tests for Programming Challenge Tasks Using Helper-Objectives.
7
0.61
2013
A First Step towards the Runtime Analysis of Evolutionary Algorithm Adjusted with Reinforcement Learning
5
0.47
2013
Increasing Efficiency of Evolutionary Algorithms by Choosing between Auxiliary Fitness Functions with Reinforcement Learning
19
1.00
2012
1