Results 71 to 80 of about 40,610 (305)
Global Random Optimization by Simultaneous Perturbation Stochastic Approximation [PDF]
IEEE Transactions on Automatic Control, 2001 We examine the theoretical and numerical global convergence properties of a certain ldquogradient freerdquo stochastic approximation algorithm called the ldquosimultaneous perturbation stochastic approximation (SPSA)rdquo that has performed well in complex optimization problems.
John L. Maryak, Daniel C. Chin
openaire +1 more source
Advanced Materials, EarlyView.The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
A stochastic technique for global optimization
Computers & Mathematics with Applications, 1991 The paper discusses the (random) multistart algorithm for solving global optimization problems. Sequential stepping rules are developed in a Bayesian nonparametric framework. The approach is illustrated by solving a number of randomly generated test problems.
Betrò, Bruno, Schoen, Fabio
openaire +2 more sources
Optimization of Stochastic Discrete Event Simulation Models [PDF]
, 2009 Many systems in logistics can be adequately modeled using stochastic discrete event simulation models. Often these models are used to find a good or optimal configuration of the system. This implies that optimization algorithms have to be coupled with
Buchholz, Peter
core +1 more source
Advanced Materials, EarlyView.An Aloe‐pinspired droplet electricity generator (A‐DEG) overcomes the limited energy collection zone of conventional DEGs by guiding impact droplets through a channeling midrib and artificial cuticle. The channeling midrib induces uni‐directional droplet spreading, while the artificial cuticle on the midrib further reinforces this behavior through its ...
Gibeom Lee +8 more
wiley +1 more source
Improving the Giant-Armadillo Optimization Method
AnalyticsGlobal optimization is widely adopted presently in a variety of practical and scientific problems. In this context, a group of widely used techniques are evolutionary techniques.
Glykeria Kyrou +2 more
doaj +1 more source
HIGH SPEED FUNCTIONALITY OPTIMIZATION OF FIVE-PHASE PM MACHINE USING 3RD HARMONIC CURRENT [PDF]
, 2013 This project was supported by the Laboratory of Electrical Engineering and Power Electronics (L2EP) France. It is a successive cooperation project between the control team and optimization team of the laboratory .Some surrogate-assisted optimization ...
GONG, Jinlin +4 more
core
AI–Guided 4D Printing of Carnivorous Plants–Inspired Microneedles for Accelerated Wound Healing
Advanced Materials, EarlyView.This work presents an artificial intelligence (AI)‐guided 4D‐printed microneedle platform inspired by carnivorous plants for wound healing. A thermo‐responsive shape memory polymer enables body temperature–triggered self‐coiling for autonomous wound closure.
Hyun Lee +21 more
wiley +1 more source
AnalyticsGlobal optimization is a fundamental tool for addressing complex and nonlinear problems across scientific and technological domains. The primary objective of this work is to enhance the efficiency, stability, and convergence speed of the Magnificent ...
Glykeria Kyrou +2 more
doaj +1 more source
Stochastic Optimization Algorithms
, 2007 When looking for a solution, deterministic methods have the enormous advantage that they do find global optima. Unfortunately, they are very CPU intensive, and are useless on untractable NP-hard problems that would require thousands of years for cutting ...
J. Rennard, P. Collet
core +1 more source