Results 51 to 60 of about 4,882,239 (315)

Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization [PDF]

AAAI Conference on Artificial Intelligence, 2020
Combinatorial optimization has found applications in numerous fields, from aerospace to transportation planning and economics. The goal is to find an optimal solution among a finite set of possibilities.
Quentin Cappart, Thierry Moisan, Louis-Martin Rousseau, Isabeau Prémont-Schwarz, A. Ciré   +4 more
semanticscholar   +1 more source

Universally Balanced Combinatorial Optimization Games

Games, 2010
This article surveys studies on universally balanced properties of cooperative games defined in a succinct form. In particular, we focus on combinatorial optimization games in which the values to coalitions are defined through linear optimization ...
Xiaotie Deng, Gabrielle Demange
doaj   +1 more source

An Ising Machine Approach to the Personalized Course Selection Problem

IEEE Access
A combinatorial optimization problem is a problem finding an optimal combination of variables that maximizes or minimizes an objective function while satisfying given constraints.
Takeru Ota, Keisuke Fukada, Nozomu Togawa   +2 more
doaj   +1 more source

APPLICATIONS OF BRANCH-BOUND ALGORITHM TO SOLVE SOME OPTIMAL PROBLEMS RELATED TO THE HAMILTONIAN CYCLE BASED ON THE TSP

Tạp chí Khoa học Đại học Đà Lạt, 2017
The Traveling Salesman Problem (TSP) is the most prominent of the combinatorial optimization problems that belongs to NP-Hard. The best algorithm for solving TSP is the branch-bound algorithm with exponential-time complexity.
Đỗ Như An
doaj   +1 more source

Revealing the structure of land plant photosystem II: the journey from negative‐stain EM to cryo‐EM

FEBS Letters, EarlyView.
Advances in cryo‐EM have revealed the detailed structure of Photosystem II, a key protein complex driving photosynthesis. This review traces the journey from early low‐resolution images to high‐resolution models, highlighting how these discoveries deepen our understanding of light harvesting and energy conversion in plants.
Roman Kouřil
wiley   +1 more source

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, Alexey Galda, Eesh Gupta, Eesh Gupta, Jose Falla, Jose Falla, Xiaoyuan Liu, Xiaoyuan Liu, Danylo Lykov, Yuri Alexeev, Ilya Safro   +10 more
doaj   +1 more source

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

Stochastic Simulated Quantum Annealing for Fast Solution of Combinatorial Optimization Problems

IEEE Access
Combinatorial optimization problems are frequently classified as NP-hard, which means that the time needed to find the optimal solution generally increases exponentially with the problem size.
Naoya Onizawa, Ryoma Sasaki, Duckgyu Shin, Warren J. Gross, Takahiro Hanyu   +4 more
doaj   +1 more source

Spatiotemporal and quantitative analyses of phosphoinositides – fluorescent probe—and mass spectrometry‐based approaches

FEBS Letters, EarlyView.
Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho, Shin Morioka, Junko Sasaki, Takehiko Sasaki   +3 more
wiley   +1 more source

Aplicación de la búsqueda tabú en regresión no lineal

Revista de Matemática: Teoría y Aplicaciones, 2009
We implement the combinatorial optimization technique known as tabu search in the parameter estimation problem in a given non linear model. For the generation of neighbors, the implementation is based on a discretization of the parameter space, which is ...
Mario A. Villalobos, Javier Trejos Zelaya, Sergio Gerardo De los Cobos Silva   +2 more
doaj   +1 more source