Results 61 to 70 of about 65,008 (228)

A Modified Multiobjective Self-Adaptive Differential Evolution Algorithm and Its Application on Optimization Design of the Nuclear Power System

Science and Technology of Nuclear Installations, 2019
A modified multiobjective self-adaptive differential evolution algorithm (MMOSADE) is presented in this paper to improve the accuracy of multiobjective optimization design in the nuclear power system.
Yunjia Yang, Shinian Peng, Li Zhu, Dan Zhang, Zhifang Qiu, Hongsheng Yuan, Lin Xian   +6 more
doaj   +1 more source

Parameter influence law analysis and optimal design of a dual mass flywheel

International Journal of Mechanical System Dynamics, 2022
The influence of the dynamic parameters of a dual mass flywheel (DMF) on its vibration reduction performance is analyzed, and several optimization algorithms are used to carry out multiobjective DMF optimization design.
Guangqiang Wu, Guoqiang Zhao
doaj   +1 more source

Combination of Evolutionary Algorithms with Experimental Design, Traditional Optimization and Machine Learning [PDF]

, 2016
Evolutionary algorithms alone cannot solve optimization problems very efficiently since there are many random (not very rational) decisions in these algorithms.
Zhang, Qingfu
core  

Bayesian Optimization Guiding the Experimental Mapping of the Pareto Front of Mechanical and Flame‐Retardant Properties in Polyamide Nanocomposites

Advanced Intelligent Discovery, EarlyView.
Bayesian optimization enabled the design of PA56 system with just 8 wt% additives, achieving limiting oxygen index 30.5%, tensile strength 80.9 MPa, and UL‐94 V‐0 rating. Without prior knowledge, the algorithm uncovered synergistic effects between aluminum diethyl‐phosphinate and nanoclay.
Burcu Ozdemir, Miguel Hernández‐del‐Valle, Christina Schenk, De‐Yi Wang, Maciej Haranczyk   +4 more
wiley   +1 more source

Multiobjective Optimization Method for Energy-Saving Design of Green Buildings

Advances in Civil Engineering
A multiobjective optimization model for energy-saving design of green buildings is established by considering the two key indicators (energy efficiency and comfort) that are important for the design of green buildings.
Yuanting Yang, Fengxiang Lu, Lan Qing
doaj   +1 more source

Adaptive Robust Method for Dynamic Economic Emission Dispatch Incorporating Renewable Energy and Energy Storage

Complexity, 2018
In association with the development of intermittent renewable energy generation (REG), dynamic multiobjective dispatch faces more challenges for power system operation due to significant REG uncertainty.
Tingli Cheng, Minyou Chen, Yingxiang Wang, Bo Li, Muhammad Arshad Shehzad Hassan, Tao Chen, Ruilin Xu   +6 more
doaj   +1 more source

Submodular memetic approximation for multiobjective parallel test paper generation [PDF]

, 2017
Parallel test paper generation is a biobjective distributed resource optimization problem, which aims to generate multiple similarly optimal test papers automatically according to multiple user-specified assessment criteria.
Fong, Alvis C.M., Hui, Siu Cheung, Nguyen, Minh Luan   +2 more
core   +1 more source

The Necessity of Dynamic Workflow Managers for Advancing Self‐Driving Labs and Optimizers

Advanced Intelligent Discovery, EarlyView.
We assess the maturity and integration readiness of key methodologies for Materials Acceleration Platforms, highlighting the need for dynamic workflow managers. Demonstrating this, we integrate PerQueue into a color‐mixing robot, showing how flexible orchestration improves coordination and optimization.
Simon K. Steensen, Patrick W. V. Butler, Jesper R. Pedersen, Nis Fisker‐Bødker, Tejs Vegge, Jin Hyun Chang, Ivano E. Castelli   +6 more
wiley   +1 more source

Numerical results for the multiobjective trust region algorithm MHT

Data in Brief, 2019
In this data article, we report data and numerical results related to the research article entitled ”A trust region algorithm for heterogeneous multiobjective optimization” by Thomann and Eichfelder in SIAM Journal on Optimization.
Jana Thomann, Gabriele Eichfelder
doaj   +1 more source

Inverse Design of Alloys via Generative Algorithms: Optimization and Diffusion within Learned Latent Space

Advanced Intelligent Discovery, EarlyView.
This work presents a novel generative artificial intelligence (AI) framework for inverse alloy design through operations (optimization and diffusion) within learned compact latent space from variational autoencoder (VAE). The proposed work addresses challenges of limited data, nonuniqueness solutions, and high‐dimensional spaces.
Mohammad Abu‐Mualla, Ellis Crabtree, Fredrick Michael, Yayue Pan, Jida Huang   +4 more
wiley   +1 more source