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Swarm and Evolutionary Computation Journal (IF: 6.33)<br class="">
<a href="https://www.journals.elsevier.com/swarm-and-evolutionary-computation/call-for-papers/special-issue-on-paralleldistributed-combinatorics" class="">https://www.journals.elsevier.com/swarm-and-evolutionary-computation/call-for-papers/special-issue-on-paralleldistributed-combinatorics</a> </font></div>
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Special Issue on Parallel/Distributed Combinatorics and Optimization<br class="">
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The increasing size and complexity of optimization problems has motivated the usage of parallel computing to provide high-quality solutions in reasonable time. On the other hand, parallel computing recent evolution (e.g., multi-core and many-core processors)
has made it more affordable while being more performant.<br class="">
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In order to efficiently exploit such computing environments, novel parallel/distributed optimization paradigms have to be designed and new implementations provided.<br class="">
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The purpose of this special issue is to collect the main recent trends and designs in parallel and distributed combinatorics and optimization methods for solving hard optimization problems. Topics of interests include (but are not limited to):<br class="">
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<div class=""><span class="Apple-tab-span" style="white-space: pre;"></span>• Global optimization, combinatorial optimization, multi-objective optimization, dynamic optimization;</div>
<div class=""><span class="Apple-tab-span" style="white-space: pre;"></span>• Computational intelligence methods (e.g., evolutionary algorithms, swarm intelligence, ant colonies, cellular automata, DNA and molecular computing);</div>
<div class=""><span class="Apple-tab-span" style="white-space: pre;"></span>• Cooperative/competitive methods;</div>
<div class=""><span class="Apple-tab-span" style="white-space: pre;"></span>• Hybrid algorithms;</div>
<div class=""><span class="Apple-tab-span" style="white-space: pre;"></span>• Peer-to peer computing and optimization problems;</div>
<div class=""><span class="Apple-tab-span" style="white-space: pre;"></span>• Real world applications: e.g., cloud computing, planning, logistics, manufacturing, finance, telecommunications.</div>
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<div class="" style="margin: 0px; line-height: normal; min-height: 16px;"><font class="">All high quality submitted papers related to the listed topics will be considered for publication in this special issue, provided they are recommended for publication after
the review process. </font></div>
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<div class="" style="margin: 0px; line-height: normal; min-height: 16px;"><font class="">The organization of this special issue is linked to the 9th IEEE Workshop Parallel / Distributed Combinatorics and Optimization (PDCO 2019), that took place together with
the 33rd IEEE International Parallel and Distributed Symposium (IPDPS 2019) but it is </font>not restricted to papers from the PDCO workshop.</div>
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<div class="" style="margin: 0px; line-height: normal; min-height: 16px;"><font class="">Papers should be submitted using SWEVO's online submission system: </font><a href="https://www.journals.elsevier.com/swarm-and-evolutionary-computation" class="">https://www.journals.elsevier.com/swarm-and-evolutionary-computation</a>. When
submitting your manuscript please select the article type <u class="">"VSI: PDCO".</u></div>
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IMPORTANT DATES<br class="">
- Full Paper Regular Submission Due: September 15th, 2019<br class="">
- Notification of Results: December 15th, 2019<br class="">
- Revisions Due: February 15th, 2020<br class="">
- Notifications of Final Acceptance: May 15th, 2020<br class="">
- Submissions of Final Revised Papers: June 15th, 2020<br class="">
- Expected publication date: 4th quarter of 2020</font></div>
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GUEST EDITORS<br class="">
- Gregoire Danoy, University of Luxembourg, Luxembourg - <a href="mailto:gregoire.danoy@uni.lu" class="">gregoire.danoy@uni.lu</a></font></div>
<div class="" style="margin: 0px; line-height: normal; min-height: 16px;"><font class="">- Bernabe Dorronsoro, University of Cadiz, Spain - <a href="mailto:bernabe.dorronsoro@uca.es" class="">bernabe.dorronsoro@uca.es</a><br class="">
- Didier El Baz, team CDA, LAAS-CNRS, France - <a href="mailto:elbaz@laas.fr" class="">elbaz@laas.fr</a></font></div>
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