Saved in:
| Main Authors: | Katsuki, Kota, Shin, Duckgyu, Onizawa, Naoya, Hanyu, Takahiro |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2603.20197 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Stochastic Simulated Quantum Annealing for Fast Solution of Combinatorial Optimization Problems
by: Onizawa, Naoya, et al.
Published: (2023)
by: Onizawa, Naoya, et al.
Published: (2023)
Memory-Efficient FPGA Implementation of Stochastic Simulated Annealing
by: Shin, Duckgyu, et al.
Published: (2026)
by: Shin, Duckgyu, et al.
Published: (2026)
Energy-Efficient p-Bit-Based Fully-Connected Quantum-Inspired Simulated Annealer with Dual BRAM Architecture
by: Onizawa, Naoya, et al.
Published: (2026)
by: Onizawa, Naoya, et al.
Published: (2026)
Enhanced Convergence in p-bit Based Simulated Annealing with Partial Deactivation for Large-Scale Combinatorial Optimization Problems
by: Onizawa, Naoya, et al.
Published: (2026)
by: Onizawa, Naoya, et al.
Published: (2026)
Stochastic Differential Dynamic Programming for Trajectory Optimization under Partial Observability
by: Fujiwara, Masahiro, et al.
Published: (2026)
by: Fujiwara, Masahiro, et al.
Published: (2026)
Learning Rate Annealing Improves Tuning Robustness in Stochastic Optimization
by: Attia, Amit, et al.
Published: (2025)
by: Attia, Amit, et al.
Published: (2025)
Sequential Quadratic Optimization for Solving Expectation Equality Constrained Stochastic Optimization Problems
by: Shen, Haoming, et al.
Published: (2025)
by: Shen, Haoming, et al.
Published: (2025)
Neural Simulated Annealing
by: Correia, Alvaro H. C., et al.
Published: (2022)
by: Correia, Alvaro H. C., et al.
Published: (2022)
Modern Computational Methods in Reinsurance Optimization: From Simulated Annealing to Quantum Branch & Bound
by: Woodman, George, et al.
Published: (2025)
by: Woodman, George, et al.
Published: (2025)
Dynamic Carbon Intensity Indicator (CII) Management in Stochastic Tramp Shipping Market
by: Cheng, Hanyu, et al.
Published: (2025)
by: Cheng, Hanyu, et al.
Published: (2025)
A Unified Performance-Cost Landscape of Parallel p-bit Ising Machines Based on Update Dynamics
by: Onizawa, Naoya, et al.
Published: (2026)
by: Onizawa, Naoya, et al.
Published: (2026)
High Convergence Rates of CMOS Invertible Logic Circuits Based on Many-Body Hamiltonians
by: Onizawa, Naoya, et al.
Published: (2026)
by: Onizawa, Naoya, et al.
Published: (2026)
GPU-accelerated simulated annealing based on p-bits with real-world device-variability modeling
by: Onizawa, Naoya, et al.
Published: (2026)
by: Onizawa, Naoya, et al.
Published: (2026)
Constrained Policy Optimization for Stochastic Optimal Control under Nonstationary Uncertainties
by: Shin, Sungho, et al.
Published: (2022)
by: Shin, Sungho, et al.
Published: (2022)
Robust Confidence Bands for Stochastic Processes Using Simulation
by: Chan, Timothy, et al.
Published: (2024)
by: Chan, Timothy, et al.
Published: (2024)
Robust Cislunar Low-Thrust Trajectory Optimization under Uncertainties via Sequential Covariance Steering
by: Kumagai, Naoya, et al.
Published: (2025)
by: Kumagai, Naoya, et al.
Published: (2025)
Machine Learning-Driven Optimization of TPMS Architected Materials Using Simulated Annealing
by: Mishra, Akshansh
Published: (2024)
by: Mishra, Akshansh
Published: (2024)
A Stochastic Record-Value Approach to Global Simulation Optimization
by: Rele, Rohan, et al.
Published: (2024)
by: Rele, Rohan, et al.
Published: (2024)
Methods for Solving Variational Inequalities with Markovian Stochasticity
by: Solodkin, Vladimir, et al.
Published: (2024)
by: Solodkin, Vladimir, et al.
Published: (2024)
Two-Timescale Asymptotic Simulations of Hybrid Inclusions with Applications to Stochastic Hybrid Optimization
by: Crisafulli, Max F., et al.
Published: (2026)
by: Crisafulli, Max F., et al.
Published: (2026)
A Computational Method for Solving the Stochastic Joint Replenishment Problem in High Dimensions
by: Ata, Barış, et al.
Published: (2025)
by: Ata, Barış, et al.
Published: (2025)
An Optimization-Based Framework for Solving Forward-Backward Stochastic Differential Equations: Convergence Analysis and Error Bounds
by: Wang, Yutian, et al.
Published: (2025)
by: Wang, Yutian, et al.
Published: (2025)
Inventory Management Under Stochastic Demand: A Simulation-Optimization Approach
by: Maitra, Sarit
Published: (2024)
by: Maitra, Sarit
Published: (2024)
Solving Linear-Quadratic Stochastic Control Problems with Signatures
by: Aqsha, Alif, et al.
Published: (2026)
by: Aqsha, Alif, et al.
Published: (2026)
Optimizing Urban Electric Vehicle Charging and Battery Swapping Infrastructure: A Location-Inventory-Grid Model
by: Ai, Wenqing, et al.
Published: (2025)
by: Ai, Wenqing, et al.
Published: (2025)
Designing a Framework for Solving Multiobjective Simulation Optimization Problems
by: Chang, Tyler H., et al.
Published: (2023)
by: Chang, Tyler H., et al.
Published: (2023)
Watts vs. Bytes: Turning Data Centers into Grid Assets via Storage Compute Co-Optimization
by: Liu, Shaohui, et al.
Published: (2026)
by: Liu, Shaohui, et al.
Published: (2026)
Robust Optimization Approach for Solving Uncertain Multiobjective Optimization Problems Using the Projected Gradient Method
by: Kumar, Shubham, et al.
Published: (2025)
by: Kumar, Shubham, et al.
Published: (2025)
LPBSA: Enhancing Optimization Efficiency through Learner Performance-based Behavior and Simulated Annealing
by: Hamad, Dana R., et al.
Published: (2024)
by: Hamad, Dana R., et al.
Published: (2024)
Asymptotic Analysis of an Abstract Stochastic Scheme for Solving Monotone Inclusions
by: Combettes, Patrick L., et al.
Published: (2025)
by: Combettes, Patrick L., et al.
Published: (2025)
The Impact of Move Schemes on Simulated Annealing Performance
by: Xu, Ruichen, et al.
Published: (2025)
by: Xu, Ruichen, et al.
Published: (2025)
An Axiomatic Analysis of Distributionally Robust Optimization with $q$-Norm Ambiguity Sets for Probability Smoothing
by: Izunaga, Yoichi, et al.
Published: (2025)
by: Izunaga, Yoichi, et al.
Published: (2025)
Near-Optimal Performance of Stochastic Model Predictive Control
by: Shin, Sungho, et al.
Published: (2022)
by: Shin, Sungho, et al.
Published: (2022)
Stochastic Optimization Using Ricci Flow
by: Gupta, Varsha
Published: (2024)
by: Gupta, Varsha
Published: (2024)
Perpertual Coupled Simulated Annealing for Continuous Optimization
by: Gonçalves-e-Silva, Kayo, et al.
Published: (2018)
by: Gonçalves-e-Silva, Kayo, et al.
Published: (2018)
A Fast Heuristic for Stochastic Steiner Tree Problems
by: Markhorst, Berend, et al.
Published: (2026)
by: Markhorst, Berend, et al.
Published: (2026)
A Stochastic GDA Method With Backtracking For Solving Nonconvex Concave Minimax Problems
by: Aybat, Necdet Serhat, et al.
Published: (2024)
by: Aybat, Necdet Serhat, et al.
Published: (2024)
Infinite-horizon controllability scores for linear time-invariant systems
by: Umezu, Kota, et al.
Published: (2026)
by: Umezu, Kota, et al.
Published: (2026)
A scalable mixed-integer conic optimization approach to cardinality-constrained Poisson regression with safe screening
by: Kurihara, Kota, et al.
Published: (2025)
by: Kurihara, Kota, et al.
Published: (2025)
Controllability scores of linear time-varying network systems
by: Umezu, Kota, et al.
Published: (2025)
by: Umezu, Kota, et al.
Published: (2025)
Similar Items
-
Stochastic Simulated Quantum Annealing for Fast Solution of Combinatorial Optimization Problems
by: Onizawa, Naoya, et al.
Published: (2023) -
Memory-Efficient FPGA Implementation of Stochastic Simulated Annealing
by: Shin, Duckgyu, et al.
Published: (2026) -
Energy-Efficient p-Bit-Based Fully-Connected Quantum-Inspired Simulated Annealer with Dual BRAM Architecture
by: Onizawa, Naoya, et al.
Published: (2026) -
Enhanced Convergence in p-bit Based Simulated Annealing with Partial Deactivation for Large-Scale Combinatorial Optimization Problems
by: Onizawa, Naoya, et al.
Published: (2026) -
Stochastic Differential Dynamic Programming for Trajectory Optimization under Partial Observability
by: Fujiwara, Masahiro, et al.
Published: (2026)