Results 51 to 60 of about 94,179 (301)

Pareto optimality solution of the Gauss-Helmert model [PDF]

Acta Geodaetica et Geophysica, 2013
The Pareto optimality method is applied to the parameter estimation of the Gauss-Helmert weighted 2D similarity transformation assuming that there are measurement errors and/or modeling inconsistencies. In some cases of parametric modeling, the residuals to be minimized can be expressed in different forms resulting in different values for the estimated
Paláncz, B., Awange, J. L., Völgyesi, L.   +2 more
openaire   +2 more sources

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

A test problem for visual investigation of high-dimensional multi-objective search [PDF]

, 2014
An inherent problem in multiobjective optimization is that the visual observation of solution vectors with four or more objectives is infeasible, which brings major difficulties for algorithmic design, examination, and development.
Miqing Li, Miqing Li, Shengxiang Yang, Shengxiang Yang, Xiaohui Liu, Xiaohui Liu   +5 more
core   +4 more sources

Data‐Driven Discovery of Quaternary Ammonium Interlayers for Efficient and Thermally Stable Perovskite Solar Cells

Advanced Materials, EarlyView.
An active learning framework, grounded in independently generated in‐house experimental data, enables reliable discovery of high‐performance interfacial materials for perovskite solar cells. Iterative model refinement autonomously converges toward structurally robust quaternary ammonium architectures, establishing a new design principle for interfacial
Jongbeom Kim, Yang Jeong Park, Chaehoon Jeon, Nahye Shin, Jaewang Park, Seungun Lee, Jino Im, Sungroh Yoon, Sang Il Seok   +8 more
wiley   +1 more source

An evolutionary constrained multi-objective optimization algorithm with parallel evaluation strategy

Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2017
This paper proposes an improved evolutionary algorithm with parallel evaluation strategy (EAPES) for solving constrained multi-objective optimization problems (CMOPs) efficiently.
Koji SHIMOYAMA, Taiga KATO
doaj   +1 more source

Using Stakeholder Preferences to Identify Optimal Land Use Configurations

Frontiers in Water, 2020
One way to solve multi-objective spatial land use allocation problems is to calculate a set of Pareto-optimal solutions and include stakeholder preferences after the optimization process.
Andrea Kaim, Andrea Kaim, Michael Strauch, Martin Volk   +3 more
doaj   +1 more source

Satellite Resource Scheduling Algorithm Based on Pareto Front and Particle Swarm Optimization [PDF]

Jisuanji gongcheng, 2016
Aiming at the satellite resource scheduling problem of multi-space target,this paper designs Dynamic Matrix Cluster(DMC) encoding method,and proposes a satellite resource scheduling algorithm based on Pareto front and Particle Swarm Optimization(PSO).It ...
ZHENG Yicheng,YUAN Yin,DENG Yong,LI Jun,WANG Haihong
doaj   +1 more source

Sorted-pareto dominance: an extension to pareto dominance and its application in soft constraints [PDF]

, 2012
The Pareto dominance relation compares decisions with each other over multiple aspects, and any decision that is not dominated by another is called Pareto optimal, which is a desirable property in decision making.
O'Mahony, Conor, Wilson, Nic
core   +1 more source

Multiobjective Codesign Optimization of a Planar Pneumatic Artificial Muscle‐Based Snake‐Like Robot for Enhanced Agility and Energy Efficiency

Advanced Robotics Research, EarlyView.
A codesign multiobjective optimization framework was developed to enhance the morphology and controller of a snake‐like robot driven by artificial muscles. It improved planar locomotion, agility, and power efficiency. The approach optimized link geometry and controller gains, revealing that shorter muscles near joints and longer linkages maximize ...
Ayla Valles, Mahdi Haghshenas‐Jaryani
wiley   +1 more source

A near-optimum multi-objective optimization approach for structural design

Ain Shams Engineering Journal
Multi-objective design optimization problems offer a set of solution alternatives within a Pareto-front. In structural design, the design variables are typically the section properties. The outcomes of these design variables are usually used in selecting
Nader M. Okasha, Abdel Kareem Alzo'ubi, Omer Mughieda, Manish Kewalramani, Amin H. Almasri   +4 more
doaj   +1 more source