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Probabilistic combinatorial optimization
1981The (bounded) generalized maximum satisfiability problem covers a broad range of NP-complete problems, e.g. it is a generalization of INDEPENDENT SET, LINEAR INEQUALITY, HITTING SET, SET PACKING, MINIMUM COVER, etc. The complexity of finding approximations for problems in this class is analyzed.
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Oberwolfach Reports, 2015
Combinatorial Optimization is an area of mathematics that thrives from a continual influx of new questions and problems from practice. Attacking these problems has required the development and combination of ideas and techniques from different mathematical areas including graph theory, matroids and combinatorics, convex and nonlinear optimization ...
Gérard P. Cornuéjols +2 more
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Combinatorial Optimization is an area of mathematics that thrives from a continual influx of new questions and problems from practice. Attacking these problems has required the development and combination of ideas and techniques from different mathematical areas including graph theory, matroids and combinatorics, convex and nonlinear optimization ...
Gérard P. Cornuéjols +2 more
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2011
Combinatorial Optimization is a very active field that benefits from bringing together ideas from different areas, e.g., graph theory and combinatorics, matroids and submodularity, connectivity and network flows, approximation algorithms and mathematical programming, discrete and computational geometry, discrete and continuous problems, algebraic and ...
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Combinatorial Optimization is a very active field that benefits from bringing together ideas from different areas, e.g., graph theory and combinatorics, matroids and submodularity, connectivity and network flows, approximation algorithms and mathematical programming, discrete and computational geometry, discrete and continuous problems, algebraic and ...
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Cooperative combinatorial optimization
European Journal of Operational Research, 2009El-Ghazali Talbi, Clarisse Dhaenens
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Reinforcement learning for combinatorial optimization: A survey
Computers and Operations Research, 2021Nina S Mazyavkina +2 more
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Machine learning for combinatorial optimization: A methodological tour d’horizon
European Journal of Operational Research, 2021Yoshua Bengió, Andrea Lodi
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2014
Combinatorial Optimization is an area of mathematics that thrives from a continual influx of new questions and problems from practice. Attacking these problems has required the development and combination of ideas and techniques from different mathematical areas including graph theory, matroids and combinatorics, convex and nonlinear optimization ...
openaire +1 more source
Combinatorial Optimization is an area of mathematics that thrives from a continual influx of new questions and problems from practice. Attacking these problems has required the development and combination of ideas and techniques from different mathematical areas including graph theory, matroids and combinatorics, convex and nonlinear optimization ...
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Deep reinforcement learning for transportation network combinatorial optimization: A survey
Knowledge-Based Systems, 2021Qi Ｗang, Chunlei Tang
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