Special issue on exact and approximation methods for mixed-integer multi-objective optimization.
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- Mathematical Methods of Operations Research, 2024, v. 100, n. 1, p. 1, doi. 10.1007/s00186-024-00874-z
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- Article
Works matching IS 14322994 AND DT 2024 AND VI 100 AND IP 1
Results: 14
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On the relationship between the value function and the efficient frontier of a mixed integer linear optimization problem.
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- Mathematical Methods of Operations Research, 2024, v. 100, n. 1, p. 175, doi. 10.1007/s00186-024-00871-2
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- Article
3
An approximation algorithm for multiobjective mixed-integer convex optimization.
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- Mathematical Methods of Operations Research, 2024, v. 100, n. 1, p. 321, doi. 10.1007/s00186-024-00870-3
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- Article
4
Column generation based solution for bi-objective gate assignment problems.
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- Mathematical Methods of Operations Research, 2024, v. 100, n. 1, p. 123, doi. 10.1007/s00186-024-00856-1
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- Article
5
Augmenting bi-objective branch and bound by scalarization-based information.
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- Mathematical Methods of Operations Research, 2024, v. 100, n. 1, p. 85, doi. 10.1007/s00186-024-00854-3
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- Article
6
Complexity of the multiobjective minimum weight minimum stretch spanner problem.
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- Mathematical Methods of Operations Research, 2024, v. 100, n. 1, p. 65, doi. 10.1007/s00186-024-00850-7
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- Article
7
Combining discrete and continuous information for multi-criteria optimization problems.
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- Mathematical Methods of Operations Research, 2024, v. 100, n. 1, p. 153, doi. 10.1007/s00186-024-00849-0
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- Article
8
An outer approximation algorithm for generating the Edgeworth–Pareto hull of multi-objective mixed-integer linear programming problems.
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- Mathematical Methods of Operations Research, 2024, v. 100, n. 1, p. 263, doi. 10.1007/s00186-023-00847-8
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- Article
9
A fast and robust algorithm for solving biobjective mixed integer programs.
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- Mathematical Methods of Operations Research, 2024, v. 100, n. 1, p. 221, doi. 10.1007/s00186-023-00843-y
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- Article
10
A simple, efficient and versatile objective space algorithm for multiobjective integer programming.
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- Mathematical Methods of Operations Research, 2024, v. 100, n. 1, p. 351, doi. 10.1007/s00186-023-00841-0
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- Article
11
Approximating multiobjective optimization problems: How exact can you be?
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- Mathematical Methods of Operations Research, 2024, v. 100, n. 1, p. 5, doi. 10.1007/s00186-023-00836-x
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- Article
12
A hybrid patch decomposition approach to compute an enclosure for multi-objective mixed-integer convex optimization problems.
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- Mathematical Methods of Operations Research, 2024, v. 100, n. 1, p. 291, doi. 10.1007/s00186-023-00828-x
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- Article
13
A test instance generator for multiobjective mixed-integer optimization.
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- Mathematical Methods of Operations Research, 2024, v. 100, n. 1, p. 385, doi. 10.1007/s00186-023-00826-z
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- Article
14
Using scalarizations for the approximation of multiobjective optimization problems: towards a general theory.
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- Mathematical Methods of Operations Research, 2024, v. 100, n. 1, p. 27, doi. 10.1007/s00186-023-00823-2
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- Article