Results 61 to 70 of about 8,140,957 (328)
International Journal of Advanced Robotic Systems, 2017 This article presents a critical evaluation of swarm intelligence techniques for solving combinatorial optimization problems. Since, unarguably, the traveling salesman’s problem is the most developed, studied, and popular combinatorial problem, this ...
Julius Odili +3 more
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Domination analysis of combinatorial optimization problems
Discrete Applied Mathematics, 2003 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gregory Z. Gutin +2 more
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A General Combinatorial Ant System-based Distributed Routing Algorithm for Communication Networks [PDF]
Journal of Systemics, Cybernetics and Informatics, 2007 In this paper, a general Combinatorial Ant System-based distributed routing algorithm modeled like a dynamic combinatorial optimization problem is presented.
Jose Aguilar, Miguel Labrador
doaj
State Transition Simulated Annealing Algorithm for Discrete-Continuous Optimization Problems
IEEE Access, 2019 A simulated annealing (SA) algorithm is an effective method for solving optimization problems, especially for combinatorial optimization problems. However, SA algorithms rely heavily on the iterative mechanism of the neighborhood structure.
Xiaoxia Han +3 more
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Similarity-based parameter transferability in the quantum approximate optimization algorithm
Frontiers in Quantum Science and Technology, 2023 The quantum approximate optimization algorithm (QAOA) is one of the most promising candidates for achieving quantum advantage through quantum-enhanced combinatorial optimization.
Alexey Galda +10 more
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On the depth of combinatorial optimization problems
Discrete Applied Mathematics, 1993 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Organoids in pediatric cancer research
FEBS Letters, EarlyView.Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley +1 more source
On simple combinatorial optimization problems
Discrete Mathematics, 1992 AbstractWe characterize (0,1) linear programming matrices for which a greedy algorithm and its dual solve certain covering and packing problems. Special cases are shortest path and minimum spanning tree algorithms.
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Dominance rules in combinatorial optimization problems [PDF]
European Journal of Operational Research, 2011 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Antoine Jouglet, Jacques Carlier
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Modelling stem cell differentiation related processes—A practical overview for biologists
FEBS Letters, EarlyView.Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar +4 more
wiley +1 more source