activity
20172022
most citedSolving the Resource Constrained Project Scheduling Problem Using the Parallel Tabu Search Designed for the CUDA Platform

28 citations · 78 across the 9 of their papers we have counts for

collaborators

16 papers

cs.RO20222 cited

Parallel Parking: Optimal Entry and Minimum Slot Dimensions

Jiri Vlasak, Michal Sojka, Zdeněk Hanzálek

The problem of path planning for automated parking is usually presented as finding a collision-free path from initial to goal positions, where three out of four parking slot edges…

cs.DS20201 cited

Periodic Scheduling and Packing Problems

Claire Hanen, Zdenek Hanzalek

This paper is motivated by periodic data transmission in autonomous cars. We considered periodic tasks (with different periods) on one or several machines. After reviewing the lite…

cs.NI2020

Makespan minimization of Time-Triggered traffic on a TTEthernet network

Jan Dvořák, Martin Heller, Zdeněk Hanzálek

The reliability of the increasing number of modern applications and systems strongly depends on interconnecting technology. Complex systems which usually need to exchange, among ot…

eess.SY20208 cited

Multi-Variant Time Constrained FlexRay Static Segment Scheduling

Jan Dvořák, Zdeněk Hanzálek

The FlexRay bus is a modern standard used in the automotive industry.It offers deterministic message transmission with zero jitter while using time-triggered scheduling in the stat…

cs.CE20202 cited

On Idle Energy Consumption Minimization in Production: Industrial Example and Mathematical Model

Ondřej Benedikt, Přemysl Šůcha, Zdeněk Hanzálek

This paper, inspired by a real production process of steel hardening, investigates a scheduling problem to minimize the idle energy consumption of machines. The energy minimization…

cs.AI20201 cited

Data-driven Algorithm for Scheduling with Total Tardiness

Michal Bouška, Antonín Novák, Přemysl Šůcha +2

In this paper, we investigate the use of deep learning for solving a classical NP-Hard single machine scheduling problem where the criterion is to minimize the total tardiness. Ins…