2 citations · 3 across the 4 of their papers we have counts for
5 papers
Deep Reinforcement Learning solution for pickup and delivery routing problems with time window and capacity constraints
Andrew Soroka, Alex Meshcheryakov, Sergey Gerasimov
The task of constructing vehicles optimal routes for pickup and delivery of goods is one of most promising tasks in the context of global urban population growth. Although this kin…
Smart routes: a system for development and comparison of algorithms for solving vehicle routing problems with realistic constraints
Andrew Soroka, German Mikhelson, Alexander Mescheryakov +1
The problem of route optimization with realistic constraints is becoming extremely relevant in the face of global urban population growth. While we are aware of approaches that the…
Probabilistic photo-z machine learning models for X-ray sky surveys
Viktor Borisov, Alex Meshcheryakov, Sergey Gerasimov +1
Accurate photo-z measurements are important to construct a large-scale structure map of X-ray Universe in the ongoing SRG/eROSITA All-Sky Survey. We present machine learning Random…
Morphological classification of astronomical images with limited labelling
Andrey Soroka, Alex Meshcheryakov, Sergey Gerasimov
The task of morphological classification is complex for simple parameterization, but important for research in the galaxy evolution field. Future galaxy surveys (e.g. EUCLID) will…
Architecture of processing and analysis system for big astronomical data
Ivan Kolosov, Sergey Gerasimov, Alexander Meshcheryakov
This work explores the use of big data technologies deployed in the cloud for processing of astronomical data. We have applied Hadoop and Spark to the task of co-adding astronomica…