posted by organizer: liuyan23 || 1182 views || tracked by 4 users: [display]

PDADS 2023 : The 3rd International Workshop on Parallel and Distributed Algorithms for Decision Sciences

FacebookTwitterLinkedInGoogle

Link: https://www.csm.ornl.gov/workshops/PDADS2023/index.html
 
When Aug 7, 2023 - Aug 7, 2023
Where Salt Lake City, Utah, USA
Submission Deadline Jun 3, 2023
Notification Due Jun 24, 2023
Final Version Due Jun 30, 2023
Categories    parallel computing   decision science   operations research   optimization
 

Call For Papers

==============
CALL FOR PAPERS
==============
The Third International Workshop on Parallel and Distributed Algorithms for Decision Sciences (PDADS-2023)
Date: August 7, 2023
Location: Salt Lake City, Utah, USA
URL: https://www.csm.ornl.gov/workshops/PDADS2023/index.html


PDADS will be co-hosted with the 52nd International Conference on Parallel Processing (ICPP 2023), August 7 - 10, 2023.


================
IMPORTANT DATES
================
* Full Paper Submission Deadline: June 3, 2023
* Author Notification: June 24, 2023
* Camera-Ready Copy: June 30, 2023
* Workshop: August 7, 2023


================================
SUBMISSION AND TOPICS OF INTEREST
================================
PDADS 2023 will focus on R&D efforts in cross-cutting areas at the intersection of algorithms research, computational sciences, decision sciences and optimization.


Both regular papers as well as short position papers describing work-in-progress with innovative ideas related to the workshop topics are being solicited. Accepted papers will be published by the ACM International Conference Proceedings Series (ICPS), in conjunction with those of other ICPP workshops, in a volume entitled 52nd International Conference on Parallel Processing Workshops (ICPP 2022 Workshops). This volume will be available for download via the ACM Digital Library. For paper submission guidelines, visit: https://www.csm.ornl.gov/workshops/PDADS2023/submission.html


Topics of interest include, but are not limited to:
* Parallel algorithms for integer/mixed-integer programming, linear/nonlinear programming, stochastic programming, robust optimization, combinatorial optimization, feasibility problems (SAT, CP, etc.).
* Parallel heuristic and meta-heuristic algorithms.
* Parallel evolutionary algorithms, swarm intelligence, ant colonies, other.
* Parallel local and complete search methods.
* Learning approaches for optimization in parallel and distributed environments.
* Parallel and distributed approaches for parameter tuning, simulation-based optimization, and black box optimization.
* Parallel algorithm portfolios.
* Quantum optimization algorithms.
* Use of randomization techniques for scalable decision support systems.
* Application of decision support systems on novel computing platforms (shared/distributed memory, edge devices, cloud platforms, field programable gate arrays, quantum computers, etc.).
* Use of parallel computing for timely and/or higher quality decision support.
* Theoretical analysis of convergence and/or complexity of parallel optimization algorithms and decision support systems.
* Optimization techniques in machine learning, such as high-performance first and higher order iterative optimization algorithms for minimizing loss and optimizing weight and bias tensors.
* Application-centric manuscripts involving optimizations for decision-making capabilities in systems such as logistics, transportation and urban planning, public health, manufacturing, energy (e.g., electric grids), digital twin systems (e.g., precision agriculture, smart cities, earth systems), operations management, finance and other areas are especially encouraged.
* Novel AI applications in systems and decision sciences on massively parallel computers.


===========
ORGANIZERS
===========
Sudip K. Seal, Oak Ridge National Laboratory, USA
Meinolf Sellmann, InsideOpt, USA
Jim Ostrowski, University of Tennessee, USA
Yan Liu, Oak Ridge National Laboratory, USA


For additional queries, email: Yan Liu (yanliu[at]ornl[dot]gov) or Sudip Seal (sealsk[at]ornl[dot]gov)
========================================================================================

Related Resources

PDAA 2024   The 16th International Workshop on Parallel and Distributed Algorithms and Applications
CPAIOR 2024   International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research
PCDS 2024   The 1st International Symposium on Parallel Computing and Distributed Systems
IEEE-Ei/Scopus-ACEPE 2024   2024 IEEE Asia Conference on Advances in Electrical and Power Engineering (ACEPE 2024) -Ei Compendex
PDP 2025   Parallel, Distributed and Network-Based Processing
CCBDIOT 2024   2024 3rd International Conference on Computing, Big Data and Internet of Things (CCBDIOT 2024)
Call For Papers Special Issue 2024   Smart Cities, innovating in the Transformation of Urban Environments
DIS 2025   The 8th International Conference on the Dynamics of Information Systems
EI/Scopus-PRDM 2024   2024 5th International Conference on Pattern Recognition and Data Mining(PRDM 2024)
SPIE-Ei/Scopus-DMNLP 2025   2025 2nd International Conference on Data Mining and Natural Language Processing (DMNLP 2025)-EI Compendex&Scopus