{"id":2,"date":"2026-02-06T14:44:13","date_gmt":"2026-02-06T13:44:13","guid":{"rendered":"http:\/\/mort.imta.fr:4415\/soft2026\/?page_id=2"},"modified":"2026-03-11T18:01:24","modified_gmt":"2026-03-11T17:01:24","slug":"page-d-exemple","status":"publish","type":"page","link":"https:\/\/hub.imt-atlantique.fr\/soft2026\/","title":{"rendered":"Overview"},"content":{"rendered":"
\n
\"\"<\/figure>\n<\/div>\n\n\n
\n
\n
\"\"<\/figure>\n<\/div><\/div>\n<\/div>\n\n\n\n

<\/p>\n\n\n\n

CP 2026 Workshop on<\/p>\n\n\n\n

<\/p>\n\n\n\n

Soft Constraints, Discrete Optimization, and Machine Learning<\/strong> (SOFT’2026)<\/h2>\n\n\n\n

Lisbon, Portugal
July 24, 2026 (Friday)
As part of FloC 2026<\/a> <\/h3>\n\n\n\n
\n\n\n\n

Motivation and Scope<\/strong><\/p>\n\n\n\n

Since Freuder\u2019s seminal work on Partial Max-CSP in 1991, research on soft constraints has grown in several directions in the constraint programming and related fields, including Max-SAT, Max-SMT, Markov Random Fields, and pseudo-Boolean optimization.<\/p>\n\n\n\n

Today, the convergence of discrete optimization and machine learning is emerging as a game-changing force in the realm of AI, opening new perspectives for constraint reasoning, optimization, and learning. This workshop aims to bring together researchers from these communities to present recent advances, share ongoing work, and discuss future directions for hybrid approaches that combine discrete optimization with machine learning and data mining.<\/p>\n\n\n\n

Format <\/strong><\/p>\n\n\n\n

The workshop will feature:
\u25cf\u200b Two invited talks<\/strong> highlighting recent results (some already published).
\u25cf\u200b Contributed talks<\/strong> selected from extended abstracts or (short) papers describing ongoing work.<\/p>\n\n\n\n

Topics of Interest (but are not restricted to)<\/strong>: <\/p>\n\n\n\n

    \n
  • \u25cf Max-SAT<\/li>\n\n\n\n
  • \u25cf Max-SMT<\/li>\n\n\n\n
  • \u25cf Markov Random Field<\/li>\n\n\n\n
  • \u25cf Pseudo-Boolean Optimization<\/li>\n\n\n\n
  • \u25cf Soft global constraints<\/li>\n\n\n\n
  • \u25cf Weighted CSP<\/li>\n\n\n\n
  • \u25cf Integer Programming<\/li>\n\n\n\n
  • \u25cf Combining discrete optimization with machine learning for better solver design.<\/li>\n\n\n\n
  • \u25cf Data-driven strategies to guide search heuristics, branching, or propagation.<\/li>\n\n\n\n
  • \u25cf Using machine learning and data mining techniques to guide search.<\/li>\n\n\n\n
  • \u25cf Integrating deep neural networks to improve solvers.<\/li>\n<\/ul>\n\n\n\n
    \n
    <\/div>\n<\/div>\n\n\n\n

    <\/p>\n","protected":false},"excerpt":{"rendered":"

    CP 2026 Workshop on Soft Constraints, Discrete Optimization, and Machine Learning (SOFT’2026) Lisbon, PortugalJuly 24, 2026 (Friday)As part of FloC 2026 Motivation and Scope Since Freuder\u2019s seminal work on Partial Max-CSP in 1991, research on soft constraints has grown in several directions in the constraint programming and related fields, including Max-SAT, Max-SMT, Markov Random Fields, […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"open","template":"","meta":{"footnotes":""},"class_list":["post-2","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/hub.imt-atlantique.fr\/soft2026\/index.php?rest_route=\/wp\/v2\/pages\/2","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/hub.imt-atlantique.fr\/soft2026\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/hub.imt-atlantique.fr\/soft2026\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/hub.imt-atlantique.fr\/soft2026\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/hub.imt-atlantique.fr\/soft2026\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=2"}],"version-history":[{"count":41,"href":"https:\/\/hub.imt-atlantique.fr\/soft2026\/index.php?rest_route=\/wp\/v2\/pages\/2\/revisions"}],"predecessor-version":[{"id":154,"href":"https:\/\/hub.imt-atlantique.fr\/soft2026\/index.php?rest_route=\/wp\/v2\/pages\/2\/revisions\/154"}],"wp:attachment":[{"href":"https:\/\/hub.imt-atlantique.fr\/soft2026\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}