Results 1 to 10 of about 39,679 (279)
Probability-boosting technique for combinatorial optimization [PDF]
In many combinatorial optimization problems we want a particular set of k out of n items with some certain properties (or constraints). These properties may involve the k items.
Sanpawat Kantabutra
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Combinatorial mesh optimization [PDF]
A new mesh optimization framework for 3D triangular surface meshes is presented, which formulates the task as an energy minimization problem in the same spirit as in Hoppe et al. (SIGGRAPH’93: Proceedings of the 20th Annual Conference on Computer Graphics and Interactive Techniques, 1993).
Vidal, Vincent +2 more
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A Quantum-Inspired Tensor Network Algorithm for Constrained Combinatorial Optimization Problems
Combinatorial optimization is of general interest for both theoretical study and real-world applications. Fast-developing quantum algorithms provide a different perspective on solving combinatorial optimization problems.
Tianyi Hao +5 more
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Convex Combinatorial Optimization [PDF]
We introduce the convex combinatorial optimization problem, a far reaching generalization of the standard linear combinatorial optimization problem. We show that it is strongly polynomial time solvable over any edge-guaranteed family, and discuss several applications.
Onn, Shmuel, Rothblum, Uriel G.
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Direct Combinatorial Pathway Optimization [PDF]
Combinatorial engineering approaches are becoming increasingly popular, yet they are hindered by the lack of specialized techniques for both efficient introduction of sequence variability and assembly of numerous DNA parts, required for the construction of lengthy multigene pathways.
Pieter Coussement +3 more
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Performance Comparison of Typical Binary-Integer Encodings in an Ising Machine
The differences in performance among binary-integer encodings in an Ising machine, which can solve combinatorial optimization problems, are investigated.
Kensuke Tamura +4 more
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A Self-Adaptive Heuristic Algorithm for Combinatorial Optimization Problems [PDF]
This paper introduces a new self-tuning mechanism to the local search heuristic for solving of combinatorial optimization problems. Parameter tuning of heuristics makes them difficult to apply, as parameter tuning itself is an optimization problem.
Cigdem Alabas-Uslu, Berna Dengiz
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Review of Nature Inspired Metaheuristic Algorithm Selection for Combinatorial t-Way Testing
The metaheuristic algorithm is a very important area of research that continuously improves in solving optimization problems. Nature-inspired is one of the metaheuristic algorithm classifications that has grown in popularity among researchers over the ...
Aminu Aminu Muazu +2 more
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Fermionic quantum approximate optimization algorithm
Quantum computers are expected to accelerate solving combinatorial optimization problems, including algorithms such as Grover adaptive search and quantum approximate optimization algorithm (QAOA). However, many combinatorial optimization problems involve
Takuya Yoshioka +3 more
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Combinatorial optimization problems are often considered NP-hard problems in the field of decision science and the industrial revolution. As a successful transformation to tackle complex dimensional problems, metaheuristic algorithms have been ...
Md Ashikur Rahman +5 more
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