Výsledky vyhľadávania - "combinatorial optimization problems"

A review on Quantum Approximate Optimization Algorithm and its variants Autor Blekos, Kostas, Brand, Dean, Ceschini, Andrea, Chou, Chiao-Hui, Li, Rui-Hao, Pandya, Komal, Summer, Alessandro

“…The Quantum Approximate Optimization Algorithm (QAOA) is a highly promising variational quantum algorithm that aims to solve combinatorial optimization…”
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Machine learning at the service of meta-heuristics for solving combinatorial optimization problems: A state-of-the-art Autor Karimi-Mamaghan, Maryam, Mohammadi, Mehrdad, Meyer, Patrick, Karimi-Mamaghan, Amir Mohammad, Talbi, El-Ghazali

“…•A comprehensive review on the integration of machine learning into meta-heuristics.•A unified taxonomy to provide a common terminology and…”
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A distributed adaptive optimization spiking neural P system for approximately solving combinatorial optimization problems Autor Dong, Jianping, Zhang, Gexiang, Luo, Biao, Yang, Qiang, Guo, Dequan, Rong, Haina, Zhu, Ming, Zhou, Kang

“…•Proposes a distributed adaptive optimization spiking neural P system with a distributed population structure and a new adaptive learning rate considering…”
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A reinforcement learning approach for optimizing multiple traveling salesman problems over graphs Autor Hu, Yujiao, Yao, Yuan, Lee, Wee Sun

“…This paper proposes a learning-based approach to optimize the multiple traveling salesman problem (MTSP), which is one classic representative of cooperative…”
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Hybrid slime mould algorithm with adaptive guided differential evolution algorithm for combinatorial and global optimization problems Autor Houssein, Essam H., Mahdy, Mohamed A., Blondin, Maude J., Shebl, Doaa, Mohamed, Waleed M.

“…•SMA-AGDE method is proposed for solving various optimization problems.•The algorithm performance is verified on CEC’17 benchmark.•The method performance is…”
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ASP: Learn a Universal Neural Solver Autor Wang, Chenguang, Yu, Zhouliang, McAleer, Stephen, Yu, Tianshu, Yang, Yaodong

“…Applying machine learning to combinatorial optimization problems has the potential to improve both efficiency and accuracy. However, existing learning-based…”
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Self-adaptive Equilibrium Optimizer for solving global, combinatorial, engineering, and Multi-Objective problems Autor Houssein, Essam H., Çelik, Emre, Mahdy, Mohamed A., Ghoniem, Rania M.

“…This paper proposes a self-adaptive Equilibrium Optimizer (self-EO) to perform better global, combinatorial, engineering, and multi-objective optimization…”
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Combinatorial Optimization Problems and Metaheuristics: Review, Challenges, Design, and Development Autor Peres, Fernando, Castelli, Mauro

“…In the past few decades, metaheuristics have demonstrated their suitability in addressing complex problems over different domains. This success drives the…”
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Performance analysis of the quantum alternating operator ansatz for solving the minimum weighted vertex cover problem Autor Li, Guang-Hui, Wang, Sha-Sha, Ni, Xiao-Hui, Gao, Fei, Guo, Fen-Zhuo, Qin, Su-Juan, Wen, Qiao-Yan

“…The Quantum Alternating Operator Ansatz (QAOA+) extends the Quantum Approximate Optimization Algorithm (QAOA) to solve constrained combinatorial optimization…”
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A novel design of differential evolution for solving discrete traveling salesman problems Autor Ali, Ismail M., Essam, Daryl, Kasmarik, Kathryn

“…Differential evolution is one of the most powerful and popular evolutionary algorithms, which is primarily used to solve continuous-based optimization…”
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Magnifying computing gaps Autor Dolev, Shlomi, Korach, Ephraim, Li, Ximing, Li, Yin, Uzan, Galit

“…In the field of information security, the best way of protecting the privacy of the participants is to keep silent. Consider two, not necessarily identical,…”
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Enhancing hotel profitability: Dynamic pricing with a Sim-Learnheuristic approach Autor C-Sánchez, Eleazar, Gomez, Juan F.

“…In recent decades, online travel agencies have emerged as the leading channel for hotel bookings, promoting dynamic pricing and real-time data analysis to stay…”
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NeuroCrossover: An intelligent genetic locus selection scheme for genetic algorithm using reinforcement learning Autor Liu, Haoqiang, Zong, Zefang, Li, Yong, Jin, Depeng

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EWSO: Boosting White Shark Optimizer for solving engineering design and combinatorial problems Autor Houssein, Essam H., Saeed, Mahmoud Khalaf, Al-Sayed, Mustafa M.

“…Population-based meta-heuristic algorithms are crucial for solving optimization issues. One of these recent algorithms that is now believed to be promising…”
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Transforming Combinatorial Optimization Problems in Fourier Space: Consequences and Uses Autor Elorza, Anne, Benavides, Xabier, Ceberio, Josu, Hernando, Leticia, Lozano, Jose A.

“…We analyze three permutation-based combinatorial optimization problems in Fourier space, namely, the quadratic assignment problem, the linear ordering problem…”
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Deep Reinforcement Learning for UAV Routing in the Presence of Multiple Charging Stations Autor Fan, Mingfeng, Wu, Yaoxin, Liao, Tianjun, Cao, Zhiguang, Guo, Hongliang, Sartoretti, Guillaume, Wu, Guohua

“…Deploying Unmanned Aerial Vehicles (UAVs) for traffic monitoring has been a hotspot given their flexibility and broader view. However, a UAV is usually…”
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A Scalable CMOS Ising Computer Featuring Sparse and Reconfigurable Spin Interconnects for Solving Combinatorial Optimization Problems Autor Su, Yuqi, Mu, Junjie, Kim, Hyunjoon, Kim, Bongjin

“…No existing algorithms can find exact solutions to the combinatorial optimization problems (COPs) classified as non-deterministic polynomial-time (NP) hard…”
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A Potts Machine With Coefficient Reuse Strategy and Successive Boundary Approximation Annealing for Multi-State Combinatorial Optimization Autor Zhou, Yifeng, Hao, Xin, Cai, Qinchao, Liao, Lei, Chen, Zhuojun

“…The annealing processor based on the Ising model has attracted significant attention in recent years due to its remarkable ability in solving combinatorial…”
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Pilot Assignment for Joint Uplink-Downlink Spectral Efficiency Enhancement in Massive MIMO Systems With Spatial Correlation Autor Nguyen, Tien Hoa, Chien, Trinh Van, Ngo, Hien Quoc, Tran, Xuan Nam, Bjornson, Emil

“…This paper proposes a flexible pilot assignment method to jointly optimize the uplink and downlink data transmission in multi-cell Massive multiple input…”
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Utility of NISQ devices: optimizing experimental parameters for the fabrication of Au atomic junction using gate-based quantum computers Autor Kanezashi, Takumi, Tsukayama, Daisuke, Shirakashi, Jun-ichi, Shibuya, Tetsuo, Imai, Hiroshi

“…Feedback-controlled electromigration (FCE) enables precise regulation of atomic migration by carefully optimizing multiple experimental parameters. However,…”
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