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Competitive Model for Combinatorial Optimization Problems
200710.1007/978-3-540-69226-3_8 ; Studies in Computational Intelligence ; 53 ; 117 ...
Tang, H., Tan, K.C., Yi, Z.
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An Additive Bounding Procedure for Combinatorial Optimization Problems
Operations Research, 1989We know that the effectiveness of the branch-and-bound algorithms proposed for the solution of combinatorial optimization problems greatly depends on the tightness of the available bounds. In this paper, we consider optimization problems with a linear objective function.
Fischetti Matteo, Toth Paolo
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Metaheuristic algorithms for combinatorial optimization problems
4OR, 2005We present the main results in the author’s Ph.D. thesis (Iori 2004), defended at the University of Bologna in April 2004 and supervised by S. Martello. The thesis is written in English and is available from the author upon request. It proposes exact and metaheuristic algorithms for solving some relevant combinatorial optimization problems, with ...
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Decomposability Conditions of Combinatorial Optimization Problems
2015Combinatorial Optimization Problems COP are generally complex and difficult to solve as a single monolithic problem. Thus, the process to solve the main initial COP may pass through solving intermediate problems and then combining the obtained partial solutions to find initial problem's global solutions.
Marouene Chaieb +2 more
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Combinatorial Optimization Problems with Conflict Graphs. [PDF]
Conflict graphs impose disjunctive constraints for pairs of jobs, items, edges or other objects in a combinatorial optimization problem. Equivalently, the feasible domain of the considered problem is restricted to stable sets in the given conflict graph.
Darmann, A. +3 more
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Preface: Quadratic combinatorial optimization problems
Discrete Optimization, 2022Abraham P. Punnen, Renata Sotirov
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Algorithms for Bicriteria Combinatorial Optimization Problems
1989In recent years, many types of interactive optimization methods have been developed in order to support multicriteria decision makings (see the book by Sawaragi, Nakayama and Tanino, 1985 and Wierzbicki and Lewandowski, 1987). Given a feasible decision set X ⊆ R n, and p objective functions, f l, f 2,.,f p (all are assumed to be minimization for ...
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A Comprehensive Review on NSGA-II for Multi-Objective Combinatorial Optimization Problems
IEEE Access, 2021Shanu Verma +2 more
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The General Combinatorial Optimization Problem: Towards Automated Algorithm Design
IEEE Computational Intelligence Magazine, 2020Rong Qu +2 more
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