Concurrent function evaluations in local and global optimization

DOI10.1016/0045-7825(87)90055-7zbMath0608.49019OpenAlexW1976850842MaRDI QIDQ1085788

Robert B. Schnabel

Publication date: 1987

Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0045-7825(87)90055-7

zbMATH Keywords

global optimizationunconstrained optimizationconcurrent function evaluationsfinite difference gradient

Mathematics Subject Classification ID

Nonlinear programming (90C30) Numerical optimization and variational techniques (65K10) Methods of reduced gradient type (90C52) Theory of operating systems (68N25)

Related Items (8)

Application of Bayesian approach to numerical methods of global and stochastic optimization ⋮ THE RANDOM SEARCH GLOBAL OPTIMIZATION METHOD FOR PARALLEL COMPUTERS ⋮ Hybridization of adaptive differential evolution with an expensive local search method ⋮ Parallel quasi-Newton methods for unconstrained optimization ⋮ Performance Comparison and Workload Analysis of Mesh Untangling and Smoothing Algorithms ⋮ Multi-directional parallel algorithms for unconstrained optimization ⋮ A parallel algorithm for global optimization ⋮ A parallel unconstrained quasi-Newton algorithm and its performance on a local memory parallel computer

Cites Work

• Concurrent stochastic methods for global optimization
• Stochastic Methods for Global Optimization
• Tensor Methods for Nonlinear Equations
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