Results 31 to 40 of about 73,328 (265)

Design Optimization of Noise Filter Using Quantum Annealer

IEEE Access, 2023
The use of quantum annealers in black-box optimization to obtain the desired properties of a product with a small number of trials has attracted attention. However, the application of this technique to engineering design problems has been limited.
Akihisa Okada, Hiroaki Yoshida, Kiyosumi Kidono, Tadayoshi Matsumori, Takanori Takeno, Tadashi Kadowaki   +5 more
doaj   +1 more source

Graduated Optimization of Black-Box Functions

CoRR, 2019
Accepted Workshop Submission for the 6th ICML Workshop on Automated Machine ...
Weijia Shao, Christian Geißler, Fikret Sivrikaya   +2 more
openaire   +2 more sources

Black-Box Audio Adversarial Attack Using Particle Swarm Optimization

IEEE Access, 2022
The development of artificial neural networks and artificial intelligence has helped to address problems and improve services in various fields, such as autonomous driving, image classification, medical diagnosis, and speech recognition.
Hyunjun Mun, Sunggwan Seo, Baehoon Son, Joobeom Yun   +3 more
doaj   +1 more source

Fast Black-Box Quantum State Preparation [PDF]

Quantum, 2022
Quantum state preparation is an important ingredient for other higher-level quantum algorithms, such as Hamiltonian simulation, or for loading distributions into a quantum device to be used e.g.
Johannes Bausch
doaj   +1 more source

Efficient Robot Design With Multi-Objective Black-Box Optimization and Large Language Models

IEEE Access
Various methods for robot design optimization have been developed so far. These methods are diverse, ranging from numerical optimization to black-box optimization.
Kento Kawaharazuka, Yoshiki Obinata, Naoaki Kanazawa, Haoyu Jia, Kei Okada   +4 more
doaj   +1 more source

Black-Box Optimization Using Geodesics in Statistical Manifolds

Entropy, 2015
Information geometric optimization (IGO) is a general framework for stochastic optimization problems aiming at limiting the influence of arbitrary parametrization choices: the initial problem is transformed into the optimization of a smooth function on a
Jérémy Bensadon
doaj   +1 more source

Generative Evolutionary Strategy For Black-Box Optimizations

CoRR, 2022
Many scientific and technological problems are related to optimization. Among them, black-box optimization in high-dimensional space is particularly challenging. Recent neural network-based black-box optimization studies have shown noteworthy achievements. However, their capability in high-dimensional search space is still limited.
Changhwi Park, Seong Ryeol Kim, Young-Gu Kim, Dae Sin Kim   +3 more
openaire   +2 more sources

Combinatorial Black-Box Optimization with Expert Advice [PDF]

Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2020
We consider the problem of black-box function optimization over the boolean hypercube. Despite the vast literature on black-box function optimization over continuous domains, not much attention has been paid to learning models for optimization over combinatorial domains until recently.
Hamid Dadkhahi, Karthikeyan Shanmugam 0001, Jesus Rios, Payel Das, Samuel C. Hoffman, Troy David Loeffler, Subramanian Sankaranarayanan   +6 more
openaire   +2 more sources

A Black-Box Multiobjective Optimization Method for Discrete Markov Chains

Mathematical and Computational Applications
In this paper, we propose a Newton-inspired black-box optimization algorithm for multiobjective optimization in constrained ergodic Markov chain environments.
Julio B. Clempner
doaj   +1 more source

Biogas Plants in Renewable Energy Systems—A Systematic Review of Modeling Approaches of Biogas Production

Applied Sciences, 2021
Biogas production is a relevant component in renewable energy systems. The paper addresses modeling approaches from an energy system, as well as from a process optimization, point of view.
Mathias Heiker, Matthias Kraume, Anica Mertins, Tim Wawer, Sandra Rosenberger   +4 more
doaj   +1 more source