Multistart method with estimation scheme for global satisfycing problems
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Publication:2366964
DOI10.1007/BF01096735zbMath0780.90086OpenAlexW2032933505MaRDI QIDQ2366964
Publication date: 15 August 1993
Published in: Journal of Global Optimization (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/bf01096735
Nonlinear programming (90C30) Computational methods for problems pertaining to operations research and mathematical programming (90-08)
Cites Work
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- Acceleration methods based on convergence tests
- Concurrent stochastic methods for global optimization
- Finite-termination schemes for solving semi-infinite satisfycing problems
- Factorization and lattice theorems for a bounded pricipal ideal domain
- Bayesian stopping rules for multistart global optimization methods
- A stochastic method for global optimization
- Effective diagonalization strategies for the solution of a class of optimal design problems
- A mathematical basis for satisficing decision making
- Stochastic global optimization methods part I: Clustering methods
- Stochastic global optimization methods part II: Multi level methods
- Sequential stopping rules for the multistart algorithm in global optimisation
- A statistical estimate of the structure of multi-extremal problems
- Rate-Preserving Discretization Strategies for Semi-Infinite Programming and Optimal Control
- Cluster Analysis Using Seed Points and Density-Determined Hyperspheres as an Aid to Global Optimization
- On the rate of convergence of certain methods of centers
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