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Stochastic techniques for global optimization: A survey of recent advances
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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A Survey of Large Time Asymptotics of Simulated Annealing Algorithms
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Simulated Annealing: Theory and Applications
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Thermodynamical approach to the traveling salesman problem: An efficient simulation algorithm
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Random tunneling by means of acceptance-rejection sampling for global optimization
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Global optimization and stochastic differential equations
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A stochastic method for global optimization
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A statistical estimate of the structure of multi-extremal problems
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Simulated annealing type algorithms for multivariate optimization
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A survey on the global optimization problem: General theory and computational approaches
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Bayesian stopping rules for multistart global optimization methods
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Sequential stopping rules for the multistart algorithm in global optimisation
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Stochastic global optimization methods part I: Clustering methods
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Stochastic global optimization methods part II: Multi level methods
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A Monte carlo simulated annealing approach to optimization over continuous variables
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Towards global optimization 2
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A stochastic technique for global optimization
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A combined multistart-annealing algorithm for continuous global optimization
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Equation of State Calculations by Fast Computing Machines
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Generalized Simulated Annealing for Function Optimization
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Simulated Annealing – An Annotated Bibliography
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Computational Experience with Generalized Simulated Annealing Over Continuous Variables
inferredcites →https://doi.org/10.1109/cdc.1985.268602openalex-snapshot
Global optimization via the Langevin equation
inferredcites →https://doi.org/10.1109/tsmc.1977.4309787openalex-snapshot
Cluster Analysis Using Seed Points and Density-Determined Hyperspheres as an Aid to Global Optimization
inferredcites →https://doi.org/10.1126/science.220.4598.671openalex-snapshot
Optimization by Simulated Annealing
inferredcites →https://doi.org/10.1137/0147010openalex-snapshot
Asymptotic Global Behavior for Stochastic Approximation and Diffusions with Slowly Decreasing Noise Effects: Global Minimization via Monte Carlo
inferredcites →https://doi.org/10.1137/0325042openalex-snapshot
Diffusion for Global Optimization in $\mathbb{R}^n $
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The Tunneling Algorithm for the Global Minimization of Functions
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Minimizing multimodal functions of continuous variables with the “simulated annealing” algorithm—Corrigenda for this article is available here
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Minimization by Random Search Techniques
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Simulated Annealing Type Algorithms for Multivariate Optimization
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Genetic algorithms in search, optimization, and machine learning
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Extension of multiunit global optimisation to three‐input systems
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Improving an optimization‐based framework for sensitivity analysis in multi‐criteria decision‐making
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A Search Algorithm for Global Optimisation
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A Global Optimization Method Based on Simulated Annealing and Evolutionary Strategy
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Multiple Parallel Local Searches in Global Optimization
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Robust Estimator for the Learning Process in Neural Networks Applied in Time Series
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A Parametric Approach to Global Optimization Problems of a Special Kind
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Parallel Continuous Non-Convex Optimization
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Global Optimisation of General Process Models
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Exact Algorithms for Global Optimization of Mixed-Integer Nonlinear Programs
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Global Optimization of Simulation Based Complex Systems
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Numerical Methods for Integration and Search for Minima
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Multiple Start Branch and Prune Filtering Algorithm for Nonconvex Optimization
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Design-Time Scheduling Techniques DSE Framework
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Methodology to Develop Design-Time Scheduling Techniques Under Constraints
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The Robust Constant and Its Applications in Global Optimization
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Energy-Efficient Hybrid Decomposed LT Codes for RA-UAC
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The Practical Application of a Dynamic Search-Trajectory Method for Constrained Global Optimization
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A branch-and-reduce approach to global optimization
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A global optimization algorithm for linear fractional and bilinear programs
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Random Linkage: a family of acceptance/rejection algorithms for global optimisation
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Multiagent cooperation for solving global optimization problems: an extendible framework with example cooperation strategies
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The robust constant and its applications in random global search for unconstrained global optimization
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Less is More: Dimensionality Analysis of Pure Random Orthogonal Search Through the Lens of Degrees of Freedom
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Several algorithms of global optimal search
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The application of a unified Bayesian stopping criterion in competing parallel algorithms for global optimization
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Trace-Based Methods for Solving Nonlinear Global Optimization and Satisfiability Problems
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A ROBUST GLOBAL OPTIMIZATION METHOD BASED ON SIMULATED ANNEALING
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Search-Based Scheduling of Experiments in Continuous Deployment
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Genetic algorithms applied to real time multiobjective optimization problems
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Probability Density Estimation With Tunable Kernels Using Orthogonal Forward Regression
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A systematic approach to classify design-time global scheduling techniques
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Efficient and adaptive Lagrange-multiplier methods for continuous nonlinear optimization
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Probabilistic Approaches for Pose Estimation
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Towards uncertain network optimization
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Parallel Computing in Global Optimization
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Long-Term Scheduling of Cleaning of Heat Exchanger Networks
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Nested Partitions Method for Global Optimization
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Capability of Global Search and Improvement in Modal Trimming Method for Global Optimization
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Engineering Design and Decision Making Models
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Sensitivity of void mediated failure to geometric design features of porous metals.
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Homotopy optimization methods for global optimization.
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Heuristic Global Optimization
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Improved Simulated Annealing Search for Structural Optimization
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Tuning of A Random Search Algorithm for Controller Design.
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New interval partitioning algorithms for global optimization problems
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Automatic Differentiation-Based Multi-Start for Gradient-Based Optimization Methods
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A Hybrid Meta-Heuristic Algorithm for Dynamic Spectrum Management in Multiuser Systems
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Recursive Decomposition for Nonconvex Optimization
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Search-based genetic optimization for deployment and reconfiguration of software in the cloud
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Rotor Design for High-Speed Flywheel Energy Storage Systems
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