Results 71 to 80 of about 382,917 (268)

Multi-agent system for dynamic manufacturing system optimization

, 2008
This paper deals with the application of multi-agent system concept for optimization of dynamic uncertain process. These problems are known to have a computationally demanding objective function, which could turn to be infeasible when large problems are ...
Maysam Abbod, Abbod, MF, Tawfeeq Al-Kanhal, Al-Kanhal, T   +3 more
core   +1 more source

Multi‐objective evolutionary optimization for hardware‐aware neural network pruning

Fundamental Research
Neural network pruning is a popular approach to reducing the computational complexity of deep neural networks. In recent years, as growing evidence shows that conventional network pruning methods employ inappropriate proxy metrics, and as new types of ...
Wenjing Hong, Guiying Li, Shengcai Liu, Peng Yang, Ke Tang   +4 more
doaj   +1 more source

A Multi Objective Optimization Approach for Resources Procurement of Bank [PDF]

Journal of Optimization in Industrial Engineering, 2010
Calculating total cast of bank resources procurement methods which include current -free loan deposit, saving interest-free loan deposit, regular and net short-term investment deposit, long-term investment deposit and surety bond cash deposit and ...
amir mohammad-zadeh, naser hamidi, mohammad amin nayebi, yusof ebrahimi-sajas   +3 more
doaj  

Aquaporin‐3 and aquaporin‐5 impact the development of pancreatic ductal adenocarcinoma spheroids

FEBS Open Bio, EarlyView.
Schematic representation of the role of aquaporin‐3 (AQP3) and aquaporin‐5 (AQP5) in pancreatic ductal adenocarcinoma (PDAC). Both proteins are upregulated in PDAC and are associated with tumor progression and metastatic potential. Silencing AQP3 or AQP5 in PDAC spheroids results in decreased diameter, area, and overall growth, underscoring their key ...
Catarina Pimpão, Diogo M. Engrácia, Graça Soveral, Filipa Mendes   +3 more
wiley   +1 more source

Recent advances in multi-objective whale optimization algorithm, its versions and applications

Journal of King Saud University: Computer and Information Sciences
Multi-objective optimization (MO) addresses problems involving multiple conflicting objectives, requiring effective techniques to identify Pareto optimal solutions. Among the numerous MO approaches, the Multi-Objective Whale Optimization Algorithm (MOWOA)
Sharif Naser Makhadmeh, Sofian Kassaymeh, Gaith Rjoub, Bilal Bataineh, Yousef Sanjalawe, Mohammed Azmi Al-Betar   +5 more
doaj   +1 more source

Optimum Nozzle Design for a Viscous Liquid by Using Multi-Objective Search Approaches

IEEE Access, 2020
This work deals with the problem of a nozzle design addressed through a multi-objective optimization strategy where governing equations of fluid dynamics model the phenomena.
Victor Dario Cuervo Pinto, Alejandro Rodriguez-Molina, Leonel German Corona-Ramirez, Miguel Gabriel Villarreal-Cervantes   +3 more
doaj   +1 more source

Directed evolution of enzymes at the crossroads of tradition and innovation

FEBS Open Bio, EarlyView.
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova, Andrej Mirossay, Erik Sedlak   +2 more
wiley   +1 more source

Hyperosmotic stress‐induced redistribution of pre‐mRNA cleavage factor I subunits is associated with shifts in alternative polyadenylation

FEBS Open Bio, EarlyView.
Hyperosmotic stress triggers the relocation of the CFIm complex from the nucleus to the cytoplasm. This shift creates a nuclear ‘stoichiometric bottleneck’, limiting CFIm availability for mRNA processing. Consequently, specific mRNAs like NUDT21 and DICER1 undergo targeted 3′UTR shortening, demonstrating how spatial protein dynamics drive rapid ...
Hitomi Soumiya, Masatake Osawa, Hidefumi Fukumitsu   +2 more
wiley   +1 more source

Self-adaptive root growth model for constrained multi-objective optimization

, 2013
This paper presents a general optimization model gleaned ideas from plant root growth behaviors in the soil. The purpose of the study is to investigate a novel biologically inspired methodology for complex system modelling and computation, particularly ...
Zhu YL(朱云龙), Hao Zhang, Zhang H(张浩), Yunlong Zhu, Dingyi Zhang, Zhang DY(张丁一)   +5 more
core   +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.
Yang, S, Li, Miqing; id_orcid, Liu, X, Li, M, Shengxiang Yang, Li, Miqing, Xiaohui Liu, Yang, Shengxiang, Miqing Li, Liu, Xiaohui   +9 more
core   +1 more source