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 +5 more
wiley +1 more source
Application of the quality control circle model to reduce non-conforming surgical instrument packaging and hospital-acquired infection risk: a pilot study. [PDF]
Front Cell Infect MicrobiolMai L +5 more
europepmc +1 more source
Bio‐Inspired Optimisation Methods Applied to Low Carbon Power and Energy Problems: A Survey
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Bio‐inspired optimisation methods have been widely applied to complex real‐world problems, particularly in low‐carbon power and energy systems, where optimisation tasks often involve high‐dimensional, constrained and mixed‐integer characteristics.
Tianyu Hu +4 more
wiley +1 more source
Simulation-Based Optimization over Discrete Spaces Using Projection to Continuous Latent Spaces. [PDF]
Ind Eng Chem ResHernández-Morales G +3 more
europepmc +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
Adaptive Policy Switching for Multi-Agent ASVs in Multi-Objective Aquatic Cleaning Environments. [PDF]
Sensors (Basel)Seck D +4 more
europepmc +1 more source
Energy Internet, EarlyView.ABSTRACT Smart energy management systems (EMS) are entering a phase of rapid transformation. Artificial intelligence (AI)—including machine learning (ML), deep learning (DL), and reinforcement learning (RL)—has become the computational backbone for real‐time forecasting, scheduling, and control of renewable‐rich power systems.
Sihai An +5 more
wiley +1 more source
Intelligent multi-objective optimization of thermal comfort and ventilation performance in stratum ventilation design. [PDF]
Sci RepHammouda NG +7 more
europepmc +1 more source
Machine learning guided resolution of mechanical trade-off in polymer composites via stress adaptive interface. [PDF]
Nat CommunWang H +8 more
europepmc +1 more source
Lobbying and Political Risk Disclosure: Do Socially Responsible Firms Voluntarily Disclose More?
British Journal of Management, EarlyView.Abstract Drawing on theories of strategic communication, legitimacy, impression management and moral capital, this study investigates whether firms use political risk disclosure to offset negative perceptions associated with corporate lobbying. Using a sample of 10,120 observations from 1362 US firms between 2002 and 2018, we find that firms with ...
Maretno A. Harjoto +4 more
wiley +1 more source