Results 11 to 20 of about 16,552 (267)
Binary Cockroach Swarm Optimization for Combinatorial Optimization Problem [PDF]
The Cockroach Swarm Optimization (CSO) algorithm is inspired by cockroach social behavior. It is a simple and efficient meta-heuristic algorithm and has been applied to solve global optimization problems successfully.
Ibidun Christiana Obagbuwa +1 more
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The inverse k-max combinatorial optimization problem [PDF]
Classical combinatorial optimization concerns finding a feasible subset of a ground set in order to optimize an objective function. We address in this article the inverse optimization problem with the k-max function. In other words, we attempt to perturb
Nhan Tran Hoai Ngoc +3 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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Review of Reinforcement Learning for Combinatorial Optimization Problem [PDF]
The solution methods for combinatorial optimization problem (COP) have permeated to the fields of artificial intelligence, operations research, etc. With the scale of data increasing and the speed of problem updating being faster, the traditional method ...
WANG Yang, CHEN Zhibin, WU Zhaorui, GAO Yuan
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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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Conflict Resolution as a Combinatorial Optimization Problem
Within the framework of the mathematical theory of conflicts, we consider a multi-criterial conflict situation using the example of a child–parent conflict.
Ekaterina Antipova, Sergey Rashkovskiy
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Minimum Entropy Combinatorial Optimization Problems [PDF]
We survey recent results on combinatorial optimization problems in which the objective function is the entropy of a discrete distribution. These include the minimum entropy set cover, minimum entropy orientation, and minimum entropy coloring problems.
Cardinal, Jean +2 more
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Combinatorial optimization problems with balanced regret
For decision making under uncertainty, min-max regret has been established as a popular methodology to find robust solutions. In this approach, we compare the performance of our solution against the best possible performance had we known the true scenario in advance.
Marc Goerigk, Michael Hartisch
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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
doaj +1 more source
An Approach to Aid Decision-Making by Solving Complex Optimization Problems Using SQL Queries
In combinatorial optimization, the more complex a problem is, the more challenging it becomes, usually causing most research to focus on creating solvers for larger cases.
Jose Torres-Jimenez +3 more
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