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The 16th IEEE Workshop on Parallel / Distributed
Combinatorics and Optimization (PDCO 2026)
https://sites.google.com/view/ieeepdco/home
held in conjunction with
the 40th IEEE International
Parallel and Distributed Processing Symposium (IPDPS 2026)
May 25 - 29, 2026
New Orleans, USA
http://www.ipdps.org/
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Scope:
======
The IEEE Workshop on Parallel / Distributed Combinatorics and Optimization aims at providing a forum for scientific researchers and engineers on recent advances in the field of parallel or distributed combinatorics for difficult optimization problems, ranging from theoretical to applied problems. The latter include for instance 0-1 multidimensional knapsack problems and cutting stock problems, large scale linear programming problems, nonlinear optimization problems, global optimization, planning problems and scheduling problems.
Emphasis will be placed on new techniques for solving difficult optimization problems, like cooperative methods for integer programming problems, nature-inspired techniques and hybrid methods. Aspects related to Combinatorial Scientific Computing (CSC) will also be treated. We solicit submissions of original manuscripts on sparse matrix computations and related topics (including graph algorithms); and related methods and tools for their efficiency on different parallel systems. Applications combining parallel and distributed combinatorics and optimization techniques as well as theoretical issues (convergence study, complexity, etc.) are welcome.
Application domains of interest include (but are not limited to) cloud computing, machine learning, planning, robotics, logistics, manufacturing, finance, telecommunications and computational biology.
Topics:
=======
Integer programming, linear programming, nonlinear programming.
Exact methods, heuristics.
Parallel algorithms for combinatorial optimization.
Graph computing, combinatorial pattern matching.
Parallel metaheuristics.
Parallel and distributed computational intelligence methods, e.g. evolutionary algorithms, swarm intelligence, ant colonies, cellular automata, DNA and molecular computing) for problem solving environments.
Parallel and distributed metaheuristics for optimization (algorithms, technologies and tools).
Applications combining traditional parallel and distributed computing and optimization techniques as well as theoretical issues (convergence, complexity).
Distributed optimization algorithms.
GPU computing and optimization.
Parallel sparse matrix computations, graph algorithms, load balancing.
Hybrid computing and the solution of optimization problems.
Peer-to peer computing and optimization problems.
Quantum optimization.
Applications: cloud computing, machine learning, planning, manufacturing, logistics, manufacturing, finance, telecommunications and computational biology.
Steering Committee:
===================
Pascal Bouvry, University of Luxembourg, Luxembourg
Didier El Baz, Harbin Engineering University, People's Republic of China
El-Ghazali Talbi, University of Lille, INRIA, CNRS, France
Albert Y. Zomaya, The University of Sydney, Australia
General Chairs:
===============
Grégoire Danoy, University of Luxembourg, Luxembourg
Didier El Baz, Harbin Engineering University, People's Republic of China
Program Chairs:
===============
Vincent Boyer, University of Nuevo Leon, Mexico
Bernabe Dorronsoro, Universidad de Cádiz, Spain
Publicity Chairs:
=================
Keqin Li, State University of New York at New Paltz, USA
Andrey Tchernik, CICESE, Ensenada, Mexico
Laurence T. Yang, St Francis Xavier University, Canada
Program Committee:
====================================
C. Agrali, University of Luxembourg, Luxembourg
J.-N. Cao, Hong-Kong Polytechnic University, China
J. J. Durillo, Leibniz Supercomputer Center, Munich, Germany
S. Fujita, Hiroshima University, Japan
M. Halappanavar, Pacific Northwest National Laboratory, USA
J.L. Jimenez-Laredo, University of Granada, Spain
K. Li, State University of New York, USA
D. Lin, Harbin Engineering University, People's Republic of China
G. Maudet, University of Luxembourg, Luxembourg
N. Melab, University of Lille, France
M. Menai, King Saud University, Saudi Arabia
M. Mezmaz, University of Luxembourg, Luxembourg
J. Musial, Poznań University of Technology, Poland
A. Nakib, University Paris 12, France
S. Nesmachnow, Universidad de la República, Uruguay
S. Nikoletseas, University of Patras and CTI, Greece
C. Phillips, Sandia National Laboratories, USA
B. Plazolles, GET, France
T. Saadi, University of Picardie, France
M. Seredynski, University of Luxembourg, Luxembourg
G. Ch. Sirakoulis, Democritus University of Thrace, Greece
G. Spezzano, University of Calabria, Italy
D.H. Stolfi, LIST, Luxembourg
A. Tchernykh, CICESE Research Center, Mexico
S. Varrette, University of Luxembourg, Luxembourg
F. Xhafa, Polytechnic University of Catalonia, Spain
R. Yadav, Harbin Engineering University, People's Republic of China
L.T. Yang, St Francis Xavier University, Canada
Submission :
============
Papers in the Proceedings of the workshops will be indexed in the IEEE Xplore Digital Library after the conference.
Prospective authors should submit their papers through the Workshop PDCO 2026 submission link:
https://sites.google.com/view/ieeepdco/submissions
(in order to submit a paper, please choose PDCO Workshop)
Abstract and paper can be uploaded until February 7, 2026. Authors should preferably follow the manuscript specifications of IEEE IPDPS, i.e. submitted manuscripts may not exceed 10 single-spaced double-column pages using 10-point size font on 8.5x11 inch pages (IEEE conference style), including figures, tables and references. Style templates are available on IPDPS website<http://www.ipdps.org/>.
Important Dates:
================
- Extended submission deadline: February 7, 2026;
- Author notification: February 23, 2026;
- Camera-Ready papers due: March 6, 2026;
- Workshop: May 25, 2026.
Contact:
========
For any question regarding PDCO 2026 Workshop, please contact PDCO Workshop organizers:
Grégoire Danoy: gregoire.danoy@uni.lu
Didier El Baz: elbaz@laas.fr
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