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Today's Topics:
1. Workshop "Combinatorial Optimization meets Parameterized
Complexity" in Bonn (Dec 13-14) (Stefan Kratsch)
2. CFP EvoENERGY 2017 at Evo* (Paul Kaufmann)
3. 40ACCMCC: Early bird registration until 1st November
(Thomas Kalinowski)
4. Postdoc position in Montpellier, France (Vincent Berry)
5. CPAIOR 2017 Second CfP - Integration of AI, OR and CP for
optimization (Michele Lombardi)
----------------------------------------------------------------------
Message: 1
Date: Mon, 17 Oct 2016 15:47:34 +0200
From: Stefan Kratsch <kratsch@cs.uni-bonn.de>
To: dmanet@zpr.uni-koeln.de
Subject: [DMANET] Workshop "Combinatorial Optimization meets
Parameterized Complexity" in Bonn (Dec 13-14)
Message-ID: <1055449f-1ede-a965-c9cd-ced99345ec86@cs.uni-bonn.de>
Content-Type: text/plain; charset=utf-8; format=flowed
You are cordially invited to participate in the workshop "Combinatorial
Optimization meets Parameterized Complexity" in Bonn on the 13th and
14th of December 2016.
The core of the program is formed by survey talks on topics from
parameterized complexity (Dec 13) and combinatorial optimization (Dec
14). Additionally, there will be a small number of shorter contributed
talks. We are delighted to announce the following invited speakers for
the survey talks:
> Fabrizio Grandoni (IDSIA, Lugano)
> Tobias Harks (Universität Augsburg)
> Bart Jansen (Eindhoven University of Technology)
> Erik Jan van Leeuwen (Max-Planck-Institut für Informatik, Saarbrücken)
> Volker Kaibel (Otto-von-Guericke-Universität Magdeburg)
> Lukasz Kowalik (University of Warsaw)
> Peter Rossmanith (RWTH Aachen)
> Gerhard Woeginger (RWTH Aachen)
Participation is free of charge, but we would like you to register on
http://tcs.cs.uni-bonn.de/doku.php?id=research:workshop2016
even if you cannot attend the entire workshop (so that we can order
enough coffee). Details on how to register will be made available soon,
along with a detailed program. The tentative times of the workshop are
9:30 to 17:30 on December 13 and 9:30 to 15:30 on December 14.
The workshop will take place at Universitätsclub Bonn. The venue is
located at Konviktstraße 9, 53113 Bonn.
We are looking forward to meeting you in Bonn!
Britta Peis, Heiko Röglin, and Stefan Kratsch
------------------------------
Message: 2
Date: Mon, 17 Oct 2016 22:54:16 +0200
From: Paul Kaufmann <paul.kaufmann@gmail.com>
To: dmanet@zpr.uni-koeln.de
Subject: [DMANET] CFP EvoENERGY 2017 at Evo*
Message-ID:
<CAC=45nn4xhsj7o+-QgcFWb+k_uqhWUG-17hD=_zVh3c9GYVAsg@mail.gmail.com>
Content-Type: text/plain; charset=UTF-8
Submission deadline: November 1st, 2016
EvoENERGY 2017, 19 - 21 April, Amsterdam, The Netherlands
The EvoENERGY track is part of EvoApplications, the European Conference
on the Applications of Evolutionary Computation
(http://www.evostar.org/), to be held in Amsterdam, The Netherlands.
INTRODUCTION
Along with the worldwide incentive to reduce fossil and nuclear based power
generation, the number of distributed generators and other forms of
distributed energy resources which are installed in power networks has been
steadily increasing over the last years. This increased integration has
triggered a transformation of the energy system and challenges the
conventional operation of these networks.
On a network level, this transformation requires new control and
communication approaches, to guarantee the security of energy supplies as
well as an optimal exploitation of available resources. On a generator
level, advanced control strategies as well as morphological optimization
(e.g., tuning of wind-blade design) can help to assure an optimal
performance of the generator.
EvoEnergy is intended as a platform for new, innovative computational
intelligence and nature-inspired techniques in the domain of energy-related
optimization research. We seek contributions ranging from new control
concepts for decentralized generation, strategies for their coordination in
the network to the morphological optimization of distributed generators.
TOPICS
Topics of interest include, but are not limited to:
- management and prediction of distributed generation, storage and
consumption
- evolutionary design and morphological optimization in energy systems
- advanced distribution management system functionalities
- Smart Grid planning, monitoring, operation and control
- distributed optimization in energy networks
- demand side management
- novel methods for network restoration
PUBLICATION AND SUBMISSION DETAILS
Accepted papers will appear in the proceedings of EvoStar, published in a
volume of the Springer Lecture Notes in Computer Science, which will be
available at the Conference.
Submissions must be original and not published elsewhere. The submissions
will be peer reviewed by at least three members of the program committee.
The authors of accepted papers will have to improve their paper on the
basis of the reviewers comments and will be asked to send a camera ready
version of their manuscripts. At least one author of each accepted work has
to register for the conference and attend the conference and present the
work. The reviewing process will be double-blind, please omit information
about the authors in the submitted paper.
Submission format: Springer LNCS
Page limit: 16 pages
Submission page: http://www.evostar.org/
IMPORTANT DATES
Submission Deadline: 1 November 2016
Notification: 9 January 2017
Camera-ready: 25 January 2017
EvoStar dates: 19 - 21 April 2017
TRACK CHAIRS
Paul Kaufmann, University of Paderborn, paul.kaufmann(at)gmail.com
Kyrre Glette, University of Oslo, kyrrehg(at)ifi.uio.no
------------------------------
Message: 3
Date: Tue, 18 Oct 2016 09:42:36 +1100
From: Thomas Kalinowski <thomas.kalinowski@newcastle.edu.au>
To: <dmanet@zpr.uni-koeln.de>
Subject: [DMANET] 40ACCMCC: Early bird registration until 1st November
Message-ID:
<CAPqT5HqsQ-c_2BzWLkRNQfeW6CPPTOY5otdiJjR=otUgxAEXcQ@mail.gmail.com>
Content-Type: text/plain; charset="UTF-8"
40ACCMCC: The 40th Australasian Conference on Combinatorial
Mathematics & Combinatorial Computing
Date: 12-16 December 2016
Venue: The University of Newcastle, Newcastle, Australia
Website: https://40accmcc.newcastle.edu.au/
Early-bird registration: until 1st November
Abstract submission deadline: 18th November
Registration closes: 25th November
ACCMCC, the Australasian Conference on Combinatorial Mathematics and
Combinatorial Computing, is the annual conference of the Combinatorial
Mathematics Society of Australasia. This year it will be held at the
University of Newcastle, Australia. The conference covers all areas of
combinatorics in mathematics and computer science.
The following people will be giving invited talks.
- Nathan Clisby, University of Melbourne
- Amy Glen, Murdoch University
- Bojan Mohar, Simon Fraser University
- Florian Pfender, University of Colorado Denver
- Dana Randall, Georgia Institute of Technology
- Bruce Reed, National Institute of Informatics, Tokyo
- Benny Sudakov, ETH Zurich
- Geoff Whittle, University of Wellingtton
Attendees (especially students) are invited to give contributed talks.
Contributed talks are 20 minutes in length with an additional 5
minutes for questions. The CMSA Student Prize will be awarded to the
best student talk at the conference.
Just after the conference, on the 16th and 17th of December, there
will be a workshop on Applied Probability, Combinatorics and
Optimisation at the same venue with invited talks by
- Jerzy Filar, Flinders University,
- Dana Randall, Georgia Institute of Technology
- Nick Wormald, Monash University
--
Thomas Kalinowski
School of Mathematical & Physical Sciences
University of Newcastle
Callaghan, NSW 2308
Tel: +61 2 4921 6558
Fax: +61 2 4921 6898
------------------------------
Message: 4
Date: Tue, 18 Oct 2016 09:29:22 +0200
From: Vincent Berry <vberry@lirmm.fr>
To: dmanet@zpr.uni-koeln.de
Subject: [DMANET] Postdoc position in Montpellier, France
Message-ID: <8388388C-7821-47E6-B290-19D35156FA5B@lirmm.fr>
Content-Type: text/plain; charset=utf-8
Dear colleagues,
due to a date error, we post again this proposal, extending the deadline for applications.
The LIRMM (http://www.lirmm.fr/lirmm_eng <http://www.lirmm.fr/lirmm_eng> <http://www.lirmm.fr/lirmm_eng <http://www.lirmm.fr/lirmm_eng>>), and ISE-M (http://www.isem.univ-montp2.fr/?lang=en <http://www.isem.univ-montp2.fr/?lang=en> <http://www.isem.univ-montp2.fr/?lang=en <http://www.isem.univ-montp2.fr/?lang=en>>) at Université de Montpellier, France, invite applications for an 18 month post-doctoral position in computational biology.
Context:
The research will take place in the context of a project bringing together specialists in computer science, applied mathematics and agronomy, to make use of the recent production of crop reference genomes. Such resources open opportunities to more efficient use of plant diversity in breeding programs. The full exploitation of these data requires development of new theoretical models and methods, as well as new bioinformatic tools. The successful candidate will closely collaborate with Celine Scornavacca (ISE-M), Fabio Pardi & Vincent Berry (LIRMM), and will benefit from the strong research environment of an internationally acknowledged site in computational biology and biomathematics (IBC), Computer Science (LIRMM) and Agronomy (CGIAR, Agropolis).
Objectives of the research:
Current crop genomes usually derive from a few domesticated ancestors that mainly follow a tree-like evolution, but subject to some hybridization events (recombination between different varieties). The history of these genomes is thus represented by a network (directed acyclic graph), rather than by a simple tree. Different parts of a same genome can hence have different ancestral origins, according to the paths they followed inside the network, leading to a composite structure of the genome. The project aims at recovering the "phylogenetic" network from the structure of current plant genomes. This implies extending current tree inference / interpretation models and algorithms, and then applying the developed methodologies to genome-wide data.
Qualifications:
Candidates should have a PhD degree or equivalent. Previous postdoc experience is a plus. Candidates can be from different backgrounds: computational biology, computer science, or biomathematics (maximum likelihood optimization or statistics applied to evolutionary models). No deep knowledge of biology is required, as the necessary information will be acquired during the project. The candidates should be familiar with some techniques from the following areas: mathematical modeling, algorithmics, parameterized complexity, data structures, maximum likelihood, optimization and graph combinatorics.
Required qualities:
- Rigor, sense of initiative.
- Appeal for solving real problems and for interdisciplinary work.
- Communication skills (written and verbal) in English. Prior knowledge of French is not required.
- Programming skills are mandatory, though local engineers and students will back the successful candidate.
Salary and terms of employment:
The appointment will be based on the standards at Université de Montpellier, ensuring a net month salary of 2130€, which is largely adequate to the cost of living in Montpellier.
Workplace and period of employment:
The workplace is the main campus at Université de Montpellier (Triolet Campus), at 10mn by tram from the historical city center, and 15km from the Mediterranean Sea.
Expected start date of the contract is ***between November and December 2016***, but a slightly later start date may be negotiated. The position is intended for 18 months.
Deadline for application: Friday October 28, 2016.
Applications must be submitted as one PDF file containing all materials to be given consideration. The file must include: application cover letter, CV, PhD diploma, list of references, list of publications.
------------------------------
Message: 5
Date: Tue, 18 Oct 2016 12:03:33 +0200
From: Michele Lombardi <michele.lombardi2@unibo.it>
To: <dmanet@zpr.uni-koeln.de>
Subject: [DMANET] CPAIOR 2017 Second CfP - Integration of AI, OR and
CP for optimization
Message-ID: <etPan.5805f375.1e726c0e.ca4d@unibo.it>
Content-Type: text/plain; charset="utf-8"
=============================================
CPAIOR 2017, Call for Papers
Padova, June 5-8 2017
http://cpaior2017.dei.unipd.it/
[Apologies for cross-posting]
=============================================
General Information
-------------------
The Fourteenth International Conference on Integration of Artificial Intelligence and Operations Research Techniques in Constraint Programming will be held in Padova, Italy, June 5 - 8, 2017, with a Master Class on "Computational Techniques for Combinatorial Optimization" on June 5, and the Main Conference on June 6 - 8, 2017.
The aim of the conference is to bring together interested researchers from Constraint Programming (CP), Artificial Intelligence (AI), and Operations Research (OR) to present new techniques or applications in combinatorial optimization and to provide an opportunity for researchers in one area to learn about techniques in the others.
A main objective of this conference series is also to give these researchers the opportunity to show how the integration of techniques from different fields can lead to interesting results on large and complex problems.
Therefore papers that actively combine, integrate, or contrast approaches from more than one of the areas are especially solicited. High quality papers from a single area are also welcome, provided that they are of interest to other communities involved. Application papers showcasing CP/AI/OR techniques on novel and challenging applications or experience reports on such applications are strongly encouraged.
The program committee invites submissions that include but are not limited to the following topics:
* Inference and relaxation methods: constraint propagation, cutting planes, global constraints, graph algorithms, dynamic programming, Lagrangian and convex relaxations, heuristic functions based on relaxations.
* Search methods: branch and bound, intelligent backtracking, incomplete search, randomized search, portfolios, column generation, Benders decomposition or any other decomposition methods, local search and metaheuristics
* Integration of machine learning and optimization: learning-based search and heuristics, use of predictive models in optimization, constraint acquisition, optimization for training machine learning models
* Integration methods: solver communication, model transformations and solver selection, parallel and distributed resolution techniques, models, and solvers.
* Modeling methods: comparison of models, symmetry breaking, uncertainty, dominance relationships.
* Innovative Applications of CP/AI/OR techniques.
* Implementation of CP/AI/OR techniques and optimization systems.
More information is available on the conference web site: http://cpaior2017.dei.unipd.it/
Important Dates
---------------
* Abstract submission deadline: 14 Nov
* Paper submission deadline: 21 Nov
* Rebuttal period: 20-23 Dec
* Final notification: 16 Jan
* Camera-ready version: 31 Jan
Submission process and formats
------------------------------
Paper submissions are of two types:
* Long papers (15 pages, plus references)
* Short papers (8 pages, plus references)
The conference proceedings will be published on the LNCS series.
Additionally, outstanding submissions to the technical program will be offered the opportunity to be published exclusively through a "fast track" process in the "Constraint" Journal. Journal fast track paper will still be regularly presented at the conference.
All papers are to be submitted electronically in PDF format via easychair:
https://easychair.org/conferences/?conf=cpaior2017
Authors should follow the submission instructions on the conference website. In the particular, they should comply with the required format (LNCS style) and page limits.
For any queries on the submission process, please contact the program chairs at dominiqs@gmail.com and michele.lombardi2@unibo.it
Organization
------------
* Program chairs:
- Domenico Salvagnin (DEI, University of Padova), http://www.dei.unipd.it/~salvagni/
- Michele Lombardi (DISI, University of Bologna), http://ai.unibo.it/people/MicheleLombardi
* Conference chair:
- Domenico Salvagnin (DEI, University of Padova), http://www.dei.unipd.it/~salvagni/
* Program Committee:
- Chris Beck, University of Toronto
- David Bergman, University of Connecticut
- Timo Berthold, Fair Isaac Germany GmbH
- Hadrien Cambazard, Grenoble INP
- Andre A. Cire, University of Toronto
- Matteo Fischetti, University of Padova
- Bernard Gendron, Université de Montréal
- Ambros Gleixner, Zuse Institute Berlin
- Carla Gomes, Cornell University
- Tias Guns, KU Leuven
- John Hooker, Tepper School of Business, Carnegie Mellon University
- Matti Järvisalo, University of Helsinki
- Serdar Kadioglu, Oracle Corporation
- Philip Kilby, Australia National University
- Joris Kinable, Carnegie Mellon University
- Jeff Linderoth, University of Wisconsin-Madison
- Andrea Lodi, École Polytechnique de Montréal
- Ines Lynce, Instituto Superior Técnico, Lisboa
- Laurent Michel, University of Connecticut
- Michela Milano, University of Bologna
- Michele Monaci, University of Bologna
- Siegfried Nijssen, UC Louvain
- Barry O'Sullivan, University College Cork, Insight center
- Claude-Guy Quimper, Université Laval
- Jean-Charles Régin, Université de Nice-Sophia Antipolis
- Louis-Martin Rousseau, École Polytechnique de Montréal
- Ashish Sabharwal, Allen Institute for Artificial Intelligence
- Scott Sanner, University of Toronto
- Pierre Schaus, UC Louvain
- Christian Schulte, KTH Royal Institute of Technology
- Helmut Simonis, University College Cork
- Christine Solnon, INSA Lyon
- Peter-J. Stuckey, University of Melbourne
- Michael Trick, Carnegie Mellon University
- Pascal Van-Hentenryck, University of Michigan
- Willem-Jan Van-Hoeve, Tepper School of Business, Carnegie Mellon University
- Sicco Verwer, Delft University of Technology
- Toby Walsh, University of New South Wales and Data61
- Alessandro Zanarini, ABB CRC
- Yingqian Zhang, TU Eindoven
------------------------------
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