Results 31 to 40 of about 40,610 (305)
Filter-based stochastic algorithm for global optimization [PDF]
Journal of Global Optimization, 2020 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
M. Joseane F. G. Macêdo +3 more
openaire +2 more sources
Global Optimization of Reactive Distillation Processes Using Bat Algorithm
Chemical Engineering Transactions, 2017 Reactive distillation (RD) is an important process intensification approach with several advantages. It can improve the reaction selectivity and yield, overcome the thermodynamic restrictions, and reduce the cost/energy. However, the optimal design of RD
J. Lu +6 more
doaj +1 more source
On Distributed Stochastic Gradient Algorithms for Global Optimization [PDF]
ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020 The paper considers the problem of network-based computation of global minima in smooth nonconvex optimization problems. It is known that distributed gradient-descent-type algorithms can achieve convergence to the set of global minima by adding slowly decaying Gaussian noise in order escape local minima.
Brian Swenson +2 more
openaire +2 more sources
Axioms, 2022 The traditional bistable stochastic resonance model has always had the drawback of being difficult when choosing accurate system parameters when a weak signal is enhanced.
Jie Xu +4 more
doaj +1 more source
Analyses of Methods and Algorithms for Modelling and Optimization of Biotechnological Processes [PDF]
Bioautomation, 2009 A review of the problems in modeling, optimization and control of biotechnological processes and systems is given in this paper. An analysis of existing and some new practical optimization methods for searching global optimum based on various advanced ...
Stoyan Stoyanov
doaj
Continuous GRASP with a local active-set method for bound-constrained global optimization
, 2010 Global optimization, Stochastic methods, Active-set methods, Heuristic, CGRASP, GENCAN,
GOZZI, Erico M. +7 more
core +1 more source
Optimization using surrogate models and partially converged computational fluid dynamics simulations [PDF]
, 2006 Efficient methods for global aerodynamic optimization using computational fluid dynamics simulations should aim to reduce both the time taken to evaluate design concepts and the number of evaluations needed for optimization.
Alexander I.J. Forrester +5 more
core +1 more source
Structural Optimization Using the Simultaneous Perturbation Stochastic Approximation Algorithm
Journal of Algorithms & Computational Technology, 2009 This paper presents an application of the simultaneous perturbation stochastic approximation (SPSA) method to size optimization of structures. This method can predict a gradient approximation that needs only two measurements of the objective function ...
D. Hamidian, S.M. Seyedpoor
doaj +1 more source
Stochastic Algorithm Case Study
, 2021 Global and constrained optimization problems nowadays appear in almost all fields of science and engineering. In this case I focused on stochastic optimization in my thesis.
Zhang, Su Ying
core
CoolMomentum: a method for stochastic optimization by Langevin dynamics with simulated annealing
Scientific Reports, 2021 Deep learning applications require global optimization of non-convex objective functions, which have multiple local minima. The same problem is often found in physical simulations and may be resolved by the methods of Langevin dynamics with Simulated ...
Oleksandr Borysenko, Maksym Byshkin
doaj +1 more source