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A survey on the global optimization problem: General theory and computational approaches
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Simulation and the Monte Carlo Method
inferredcites →https://doi.org/10.1007/bf00933356openalex-snapshot
Generalized descent for global optimization
inferredcites →https://doi.org/10.1007/bf00933849openalex-snapshot
Properties of the random search in global optimization
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Bayesian testing of nonparametric hypotheses and its application to global optimization
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Axiomatic approach to statistical models and their use in multimodal optimization theory
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A Bayesian algorithm for global optimization
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Parallel computation and numerical optimisation
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On a sequential search strategy in global optimization problems
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A probabilistic algorithm for global optimization
inferredcites →https://doi.org/10.1007/bf02576717openalex-snapshot
Evaluation of random gradient techniques for unconstrained optimization
inferredcites →https://doi.org/10.1007/bfb0006170openalex-snapshot
The Bayesian approach to global optimization
inferredcites →https://doi.org/10.1007/bfb0006173openalex-snapshot
Asynchronous parallel search in global optimization problems
inferredcites →https://doi.org/10.1016/0041-5553(71)90065-6openalex-snapshot
Numerical methods for finding global extrema (Case of a non-uniform mesh)
inferredcites →https://doi.org/10.1016/0377-2217(79)90240-6openalex-snapshot
Towards global optimization 2
inferredcites →https://doi.org/10.1016/0378-4754(82)90069-6openalex-snapshot
Efficiency of the random search method
inferredcites →https://doi.org/10.1017/s0001867800050138openalex-snapshot
Estimation of the minimum of a function using order statistics
inferredcites →https://doi.org/10.1080/00401706.1981.10486268openalex-snapshot
Numerical Techniques for Stochastic Systems
inferredcites →https://doi.org/10.1080/01621459.1953.10501200openalex-snapshot
Recent Advances in Finding Best Operating Conditions
inferredcites →https://doi.org/10.1109/tac.1968.1098903openalex-snapshot
Adaptive step size random search
inferredcites →https://doi.org/10.1115/1.3653121openalex-snapshot
A New Method of Locating the Maximum Point of an Arbitrary Multipeak Curve in the Presence of Noise
inferredcites →https://doi.org/10.1137/0709036openalex-snapshot
A Sequential Method Seeking the Global Maximum of a Function
inferredcites →https://doi.org/10.1147/rd.165.0504openalex-snapshot
Widely Convergent Method for Finding Multiple Solutions of Simultaneous Nonlinear Equations
inferredcites →https://doi.org/10.1287/moor.6.1.19openalex-snapshot
Minimization by Random Search Techniques
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Efficient Strategy for Adaptive Partition of N-Dimensional Intervals in the Framework of Diagonal Algorithms
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A Global Optimization Algorithm for Multivariate Functions with Lipschitzian First Derivatives
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A Parallel Algorithm for Global Optimization
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Symmetric-Approximation Energy-Based Estimation of Distribution (SEED): A Continuous Optimization Algorithm
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