Results 101 to 110 of about 50,463 (272)

Robust optimization model for uncertain multiobjective linear programs

Journal of Inequalities and Applications, 2018
In this paper, we consider the multiobjective linear programs where coefficients in the objective function belong to uncertainty sets. We introduce the concept of robust efficient solutions to uncertain multiobjective linear programming problems.
Lei Wang, Min Fang
doaj   +1 more source

Physics‐Informed Generative Machine Learning for Designing Crack‐Free γ′‐Strengthened Ni‐Based Superalloys for Laser Powder Bed Fusion

Materials Genome Engineering Advances, EarlyView.
This research proposes a physics‐informed generative machine learning framework to design SHA800, a crack‐free γ′‐strengthened nickel‐based superalloy for laser powder bed fusion, achieving a 43% γ′ volume fraction and 587 HV0.2 hardness. ABSTRACT Fabricating γ′‐strengthened nickel‐based superalloys via laser powder bed fusion (LPBF) faces significant ...
Kai Guo, Dongwei Guan, Tao Hu, Yaqing Hou, Xiaoqun Li, Zhongnan Bi, Songzhe Xu, Hao Yu, Wei Xu, Weidong Xuan, Chaoyue Chen, Zhongming Ren   +11 more
wiley   +1 more source

Reasoning BO: Enhancing Bayesian Optimization With the Reasoning Power of LLMs

Materials Genome Engineering Advances, EarlyView.
Addressing the challenge of too many parameters and too few experiments, reasoning BO enables AI‐accelerated scientific discovery. By searching smarter and reasoning deeper each round, this method achieves better results with fewer experiments than traditional approaches.
Zhuo Yang, Daolang Wang, Lingli Ge, Beilun Wang, Tianfan Fu, Yuqiang Li   +5 more
wiley   +1 more source

METODOLOGÍA BASADA EN LOS ALGORITMOS VEGA Y MOGA PARA SOLUCIONAR UN PROBLEMA MULTIOBJETIVO EN UN SISTEMA DE PRODUCCIÓN JOB SHOP

Revista EIA
En este artículo se presenta una metodología que pretende minimizar de forma simultánea, en un ambiente de producción tipo "job shop" correspondiente a una empresa metalmecánica, las siguientes variables: tiempo de proceso, costo de mano de obra directa ...
Germán Augusto Coca Ortegón, Ómar Danilo Castrillón Gómez, Santiago Ruiz Herrera   +2 more
doaj  

Designing γ‐TiAl Alloys With Refined Twin‐Lamellar Microstructures via Machine Learning‐Driven Phase‐Field Methods

Materials Genome Engineering Advances, EarlyView.
Dual‐phase γ‐TiAl alloys with refined twin‐lamellar (RTL) structures exhibit optimal strength‐ductility synergy. Here, phase‐field simulations reveal composition‐stress‐dependent refined twin‐lamellar (RTL) microstructure evolution. Machine learning (CatBoost + NSGA‐III) trained on phase‐field images predicts optimal RTL‐stress‐composition design space.
Jianwei Li, Zhenqiang Xiong, Chuanxin Liang, Tianjiao Dong, Heran Wang, Mengyuan Hao, Liqiang He, Tianlong Zhang, Dong Wang   +8 more
wiley   +1 more source

Close‐to‐nature management regulates ecosystem carbon storage through its effects on vegetation community structure in Pinus massoniana plantations

PLANTS, PEOPLE, PLANET, EarlyView.
Forest plantations play an increasingly important role in climate change mitigation through carbon sequestration, yet management strategies that enhance long‐term ecosystem carbon storage remain insufficiently understood. We investigated the effects of more than a decade of close‐to‐nature management on community structure and ecosystem carbon storage ...
Yuwen Luo, Yunliang Ni, Zongzheng Chai
wiley   +1 more source

Multiobjective Differential Evolution for Higher-Dimensional Multimodal Multiobjective Optimization

IEEE/CAA Journal of Automatica Sinica
In multimodal multiobjective optimization problems (MMOPs), there are several Pareto optimal solutions corresponding to the identical objective vector. This paper proposes a new differential evolution algorithm to solve MMOPs with higher-dimensional decision variables.
Jing Liang 0005, Hongyu Lin, Caitong Yue, Ponnuthurai Nagaratnam Suganthan, Yaonan Wang 0001   +4 more
openaire   +3 more sources

Effectiveness Assessment of Underwater Area Cruise Based on the ADC Method

Journal of Field Robotics, EarlyView.
ABSTRACT Underwater area surveillance plays a crucial role in upholding national security, safeguarding strategic interests, and mitigating potential threats. Despite its significance, a notable gap persists in the availability of comprehensive models for assessing its effectiveness.
Qingwei Liang, Yuxin Lin, Mingyang Luo, Zhanghong Zeng   +3 more
wiley   +1 more source

Regional Sustainability Assessment Under Risk and Uncertainty: A Water–Energy–Food Based Framework

Sustainable Development, EarlyView.
ABSTRACT Regional sustainability assessment requires integrated structures that can examine the interactions between Water–Energy–Food (WEF) systems, socio‐economic risk conditions, and performance outcomes under uncertainty. This study proposes a multidimensional framework that combines a suitability index, composite sustainability indicators ...
Murat Oturakci
wiley   +1 more source

Evolutionary Dynamic Multiobjective Optimisation Assisted by Inverse Regression Tree Predictor

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Dynamic multiobjective optimisation problems (DMOPs) are optimisation problems with multiple conflicting objectives that can change over time. Most dynamic multiobjective optimisation evolutionary algorithms (DMOEAs) attempt to estimate Pareto‐optimal sets (PS) directly in the decision space.
Kai Gao, Lihong Xu
wiley   +1 more source