Name
Affiliation
Papers
DANIIL CHIVILIKHIN
St. Petersburg National Research University of IT, Mechanics and Optics, St. Petersbuth, Russian Fed.
24
Collaborators
Citations 
PageRank 
24
34
9.41
Referers 
Referees 
References 
30
144
133
Search Limit
100144
Title
Citations
PageRank
Year
On Probabilistic Generalization of Backdoors in Boolean Satisfiability.00.342022
Evaluating the Hardness of SAT Instances Using Evolutionary Optimization Algorithms.00.342021
Automatic State Machine Reconstruction From Legacy Programmable Logic Controller Using Data Collection and SAT Solver00.342020
Function block finite-state model identification using SAT and CSP solvers10.362019
Active Learning Of Formal Plant Models For Cyber-Physical Systems00.342018
Csp-Based Inference Of Function Block Finite-State Models From Execution Traces00.342017
Reconstruction of Function Block Logic Using Metaheuristic Algorithm.10.362017
Closed-Loop Verification Of A Compensating Group Drive Model Using Synthesized Formal Plant Model00.342017
Plant Trace Generation For Formal Plant Model Inference: Methods And Case Study00.342017
Small-Moves Based Mutation For Pick-Up And Delivery Problem.40.412016
Modified ant colony algorithm for constructing finite state machines from execution scenarios and temporal formulas00.342016
Experimental Study of Automated Parameter Tuning on the Example of irace and the Traveling Salesman Problem.00.342016
Reconstruction Of Function Block Controllers Based On Test Scenarios And Verification00.342016
Inferring Temporal Properties of Finite-State Machine Models with Genetic Programming20.422015
Inferring Automata Logic from Manual Control Scenarios: Implementation in Function Blocks00.342015
Reconstruction of function block logic using metaheuristic algorithm: Initial explorations30.402015
Improving the quality of supervised finite-state machine construction using real-valued variables00.342014
Inferring automata-based programs from specification with mutation-based ant colony optimization10.392014
Combining Exact and Metaheuristic Techniques for Learning Extended Finite-State Machines from Test Scenarios and Temporal Properties20.392014
Solving Five Instances of the Artificial Ant Problem with Ant Colony Optimization.00.342013
Learning Finite-State Machines: Conserving Fitness Function Evaluations by Marking Used Transitions00.342013
MuACOsm: a new mutation-based ant colony optimization algorithm for learning finite-state machines130.842013
Test-based extended finite-state machines induction with evolutionary algorithms and ant colony optimization20.412012
Learning finite-state machines with ant colony optimization50.712012