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Ewa Ratajczak-Ropel
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2020 – today
- 2024
- [c27]Piotr Jedrzejowicz
, Ewa Ratajczak-Ropel
Parallelized Population-Based Multi-heuristic Approach for Solving RCPSP and MRCPSP Instances. ICCCI (1) 2024: 55-67 - 2023
- [c26]Ewa Ratajczak-Ropel, Piotr Jedrzejowicz:
Parallelized Population-Based Multi-Heuristic System with Reinforcement Learning for Solving Multi-Skill Resource-Constrained Project Scheduling Problem with Hierarchical Skills. FedCSIS (Communication Papers) 2023: 237-244 - [c25]Wlodzislaw Duch
Asymptotic Spatiotemporal Averaging of the Power of EEG Signals for Schizophrenia Diagnostics. ICONIP (9) 2023: 428-439 - 2022
- [c24]Piotr Jedrzejowicz, Ewa Ratajczak-Ropel:
A-Team Solving Multi-Skill Resource-Constrained Project Scheduling Problem. KES 2022: 3300-3309 - 2021
- [j7]Ewa Ratajczak
Novel Methodological Tools for Behavioral Interventions: The Case of HRV-Biofeedback. Sham Control and Quantitative Physiology-Based Assessment of Training Quality and Fidelity. Sensors 21(11): 3670 (2021) - [c23]Piotr Jedrzejowicz
A Population-Based Framework for Solving the Job Shop Scheduling Problem. ICCCI 2021: 347-359 - 2020
- [j6]Michal Meina
Heart Rate Variability and Accelerometry as Classification Tools for Monitoring Perceived Stress Levels - A Pilot Study on Firefighters. Sensors 20(10): 2834 (2020)
2010 – 2019
- 2019
- [j5]Piotr Jedrzejowicz, Ewa Ratajczak-Ropel:
A-Team Solving Distributed Resource-Constrained Multi-Project Scheduling Problem. Vietnam. J. Comput. Sci. 6(4): 423-437 (2019) - [c22]Piotr Jedrzejowicz, Ewa Ratajczak-Ropel:
Experimental Evaluation of A-Teams Solving Resource Availability Cost Problem. KES-IDT (1) 2019: 213-223 - 2018
- [j4]Ewa Ratajczak-Ropel
Experimental Evaluation of Agent-based Approaches to Solving Multi-mode Resource-Constrained Project Scheduling Problem. Cybern. Syst. 49(5-6): 296-316 (2018) - [c21]Piotr Jedrzejowicz, Ewa Ratajczak-Ropel
A-Team Solving Distributed Resource-Constrained Multi-project Scheduling Problem. ICCCI (2) 2018: 243-253 - 2016
- [j3]Piotr Jedrzejowicz, Ewa Ratajczak-Ropel:
PLA Based Strategy for Solving RCPSP by a Team of Agents. J. Univers. Comput. Sci. 22(6): 856-873 (2016) - [c20]Piotr Jedrzejowicz, Ewa Ratajczak-Ropel
Dynamic Cooperative Interaction Strategy for Solving RCPSP by a Team of Agents. ICCCI (1) 2016: 454-463 - [c19]Piotr Jedrzejowicz, Ewa Ratajczak-Ropel
PLA Based Strategy for Solving MRCPSP by a Team of Agents. KES-IDT (1) 2016: 305-315 - 2015
- [c18]Piotr Jedrzejowicz, Ewa Ratajczak-Ropel
Reinforcement Learning Strategy for Solving the MRCPSP by a Team of Agents. KES-IDT 2015: 537-548 - 2014
- [j2]Piotr Jedrzejowicz, Ewa Ratajczak-Ropel
Reinforcement Learning strategies for A-Team solving the Resource-Constrained Project Scheduling Problem. Neurocomputing 146: 301-307 (2014) - [c17]Piotr Jedrzejowicz, Ewa Ratajczak-Ropel
Reinforcement Learning Strategy for Solving the Resource-Constrained Project Scheduling Problem by a Team of A-Teams. ACIIDS (2) 2014: 197-206 - 2013
- [c16]Piotr Jedrzejowicz, Ewa Ratajczak-Ropel
Reinforcement Learning Strategy for A-Team Solving the Resource-Constrained Project Scheduling Problem. ICCCI 2013: 457-466 - [p5]Piotr Jedrzejowicz, Ewa Ratajczak-Ropel
Triple-Action Agents Solving the MRCPSP/Max Problem. Agent-Based Optimization 2013: 103-122 - [p4]Dariusz Barbucha
Team of A-Teams - A Study of the Cooperation between Program Agents Solving Difficult Optimization Problems. Agent-Based Optimization 2013: 123-141 - 2012
- [c15]Piotr Jedrzejowicz, Ewa Ratajczak-Ropel
A-Team for Solving the Resource Availability Cost Problem. ICCCI (2) 2012: 443-452 - [c14]Piotr Jedrzejowicz, Ewa Ratajczak-Ropel:
Team of A-Teams for Solving the Resource-Constrained Project Scheduling Problem. KES 2012: 1201-1210 - 2011
- [c13]Piotr Jedrzejowicz, Ewa Ratajczak-Ropel
Double-Action Agents Solving the MRCPSP/Max Problem. ICCCI (2) 2011: 311-321 - [c12]Dariusz Barbucha
Parallel Cooperating A-Teams. ICCCI (2) 2011: 322-331 - [c11]Piotr Jedrzejowicz, Ewa Ratajczak-Ropel
A-Team for Solving MRCPSP/max Problem. KES-AMSTA 2011: 466-475 - 2010
- [j1]Dariusz Barbucha
JABAT Middleware as a Tool for Solving Optimization Problems. Trans. Comput. Collect. Intell. 2: 181-195 (2010) - [c10]Piotr Jedrzejowicz, Ewa Ratajczak-Ropel
Evaluation of Agents Performance within the A-Team Solving RCPSP/Max Problem. ICCCI (1) 2010: 393-402 - [c9]Ewa Ratajczak-Ropel
Experimental Evaluation of the A-Team Solving Instances of the RCPSP/max Problem. KES-AMSTA (2) 2010: 210-219 - [p3]Dariusz Barbucha
Influence of the Working Strategy on A-Team Performance. Smart Information and Knowledge Management 2010: 83-102
2000 – 2009
- 2009
- [c8]Piotr Jedrzejowicz, Ewa Ratajczak-Ropel
Agent-Based Gene Expression Programming for Solving the RCPSP/max Problem. ICANNGA 2009: 203-212 - [c7]Piotr Jedrzejowicz, Ewa Ratajczak-Ropel
Solving the RCPSP/max Problem by the Team of Agents. KES-AMSTA 2009: 734-743 - [p2]Dariusz Barbucha
e-JABAT - An Implementation of the Web-Based A-Team. Intelligent Agents in the Evolution of Web and Applications 2009: 57-86 - 2008
- [c6]Dariusz Barbucha
Web Accessible A-Team Middleware. ICCS (3) 2008: 624-633 - 2007
- [c5]Piotr Jedrzejowicz, Ewa Ratajczak-Ropel:
Agent-Based Approach to Solving the Resource Constrained Project Scheduling Problem. ICANNGA (1) 2007: 480-487 - [p1]Piotr Jedrzejowicz, Ewa Ratajczak:
Scheduling Multiple-version Programs on Multiple Processors. Computational Intelligence in Reliability Engineering 2007: 301-328 - 2006
- [c4]Dariusz Barbucha
JADE-Based A-Team as a Tool for Implementing Population-Based Algorithms. ISDA (3) 2006: 144-149 - 2003
- [c3]Piotr Jedrzejowicz, Ewa Ratajczak:
Population Learning Algorithm for Resource-Constrained Project Scheduling. ICANNGA 2003: 223-228 - 2001
- [c2]Dariusz Barbucha
Population Learning Algorithm Versus Evolutionary Computation. IPDPS 2001: 131
1990 – 1999
- 1999
- [c1]Ireneusz Czarnowski, Piotr Jedrzejowicz, Ewa Ratajczak:
Scheduling Fault-Tolerant Programs on Multiple Processors to Maximize Schedule Reliability. SAFECOMP 1999: 385-395
Coauthor Index
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last updated on 2024-09-22 00:33 CEST by the dblp team
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