Results 131 to 140 of about 1,501,275 (273)

Local Search and the Evolution of World Models

Topics in Cognitive Science, EarlyView., 2023
Abstract An open question regarding how people develop their models of the world is how new candidates are generated for consideration out of infinitely many possibilities. We discuss the role that evolutionary mechanisms play in this process. Specifically, we argue that when it comes to developing a global world model, innovation is necessarily ...
Neil R. Bramley, Bonan Zhao, Tadeg Quillien, Christopher G. Lucas   +3 more
wiley   +1 more source

Exact solutions to a class of stochastic generalized assignment problems [PDF]

This paper deals with a stochastic Generalized Assignment Problem with recourse. Only a random subset of the given set of jobs will require to be actually processed.
Vlerk, Maarten H. van der, Albareda-Sambola, Maria, Fernandez, Elena   +2 more
core  

A Preventive Static Security Control Strategy for Distribution Networks Based on Phase Shifting Transformer Loop‐Closing Devices

IEEJ Transactions on Electrical and Electronic Engineering, EarlyView.
As the share of renewable energy in the energy mix continues to increase, the penetration of distributed renewable generation in distribution networks is also rising steadily. Loop‐closing operation provides an effective means to enhance renewable energy accommodation across different grid partitions.
Ningyu Zhang, Yuqiao Jia, Xun Huang, Yuxuan Huang, Xin Zhao, Shan Gao, Jinyang Li   +6 more
wiley   +1 more source

A Detailed and Comprehensive Account of Fractional Physics‐Informed Neural Networks: From Implementation to Efficiency

Artificial Intelligence for Engineering, EarlyView.
Caputo‐based fPINNs accurately solve fractional ODEs and PDEs while exposing an accuracy–cost trade‐off driven by the history‐dependent fractional derivative. Temporal collocation and shorter time windows are the most effective strategies for improving early‐time accuracy without unnecessary spatial refinement.
Donya Dabiri, Joshua DaRosa, Milad Saadat, Deepak Mangal, Safa Jamali   +4 more
wiley   +1 more source

Variance‐Guided Evolutionary Reinforcement Learning for Multi‐Objective Energy Scheduling in Dairy Farms

Artificial Intelligence for Engineering, EarlyView.
This reflects the different optimisation objectives: The MPC formulation in Equation (22) minimises electricity cost together with a weighted thermal‐slack penalty. Its solution is therefore optimal with respect to this combined objective, rather than electricity cost alone.
Nawazish Ali, Rachael Shaw, Karl Mason
wiley   +1 more source

A secured cloud‐medical data sharing with A‐BRSA and Salp ‐Ant Lion Optimisation Algorithm

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Sharing medical data among healthcare providers, researchers, and patients is crucial for efficient healthcare services. Cloud‐assisted smart healthcare (s‐healthcare) systems have made it easier to store EHRs effectively. However, the traditional encryption algorithms used to secure this data can be vulnerable to attacks if the encryption key
Adel Binbusayyis, Abed Alanazi, Shtwai Alsubai, Areej Alasiry, Mehrez Marzougui, Abdullah Alqahtani, Mohemmed Sha, Muhammad Aslam   +7 more
wiley   +1 more source

MOEA/D‐based multi‐row facility layout optimisation method with discontinuity perceiving of the Pareto front

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract In a multi‐row facility layout problem (MRFLP), facilities are arranged in more than one row under the limited layout area. Considering different layout factors, various extensions of MRFLP have been modelled. However, the orientation of input/output (I/O) point in a facility, as a key factor that plays a direct impact on flow cost, is seldom ...
Yinan Guo, Yao Huang, Jian Cheng, Xiaoyu Ban, Xiaoxiao Zhao, Tianyu Liu   +5 more
wiley   +1 more source

Practical Day‐Ahead Gas Generator Dispatch Optimisation for Enhancing the Reserved Capacity

IET Smart Energy Systems, EarlyView.
Practical day‐ahead gas generator dispatch optimisation model is proposed to enhance the system reserved capacity. ABSTRACT In order to reduce carbon dioxide emissions, traditional coal‐fired power generation has been strictly limited in China recently, which has led to the problem of reserved capacity shortage. As one of the critical east provinces of
Shengyuan Liu, Yicheng Jiang, Wei Gu, Wenduo Sun, Bin Feng, Gang Huang, Yunchu Wang   +6 more
wiley   +1 more source

Flexibility Feasible Region Construction and Operation Optimization for Urban Residential Smart Buildings

IET Smart Energy Systems, EarlyView.
To effectively harness the flexibility of urban residential buildings, this study proposes using the feasible flexibility region (FFR) of residential smart buildings (RSB) as an alternative to directly scheduling a large number of diverse, dispersed, and heterogeneous flexibility resources.
Youjun Deng, Fengji Luo, Yongxi Zhang, Anan Zhang   +3 more
wiley   +1 more source

Using large language models to analyze political texts through natural language understanding

American Journal of Political Science, EarlyView.
Abstract Large language models (LLMs) offer scalable alternatives to human experts when analyzing political texts for meaning, using natural language understanding (NLU). Qualitative NLU methods relying on human experts are severely limited by cost and scalability.
Kenneth Benoit, Scott De Marchi, Conor Laver, Michael Laver, Jinshuai Ma   +4 more
wiley   +1 more source