Learning-augmented optimization and control of long-haul mobility propulsion systems. [PDF]
Ding M, Li Y, Chen C, Lei N, Zhang H.
europepmc +1 more source
Simulation-Based Optimization over Discrete Spaces Using Projection to Continuous Latent Spaces. [PDF]
Hernández-Morales G +3 more
europepmc +1 more source
Combining kernelised autoencoding and centroid prediction for dynamic multi‐objective optimisation
Abstract Evolutionary algorithms face significant challenges when dealing with dynamic multi‐objective optimisation because Pareto optimal solutions and/or Pareto optimal fronts change. The authors propose a unified paradigm, which combines the kernelised autoncoding evolutionary search and the centroid‐based prediction (denoted by KAEP), for solving ...
Zhanglu Hou +4 more
wiley +1 more source
A Sequential Design for Extreme Quantile Estimation Under Binary Sampling. [PDF]
Broniatowski M, Miranda E.
europepmc +1 more source
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
Multi-objective optimization for 3D heterogeneous WSN deployment using an enhanced Genghis Khan shark algorithm. [PDF]
Houssein EH +3 more
europepmc +1 more source
Evolutionary Dynamic Multiobjective Optimisation Assisted by Inverse Regression Tree Predictor
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
Design of a Li-ion battery cooling system incorporating PCM, heat pipes, and liquid circuits using marine predator algorithm-enhanced ANN and multi-verse optimization. [PDF]
Ali NB +7 more
europepmc +1 more source
Pareto-Front Optimization of Variance-Added Expected Loss with Interrelated Qualities. [PDF]
Kim S, Lee K.
europepmc +1 more source
Neural Network Repair With Shapley‐Guided Search
ABSTRACT The deployment of deep neural networks (DNNs) in safety‐critical domains is critically hampered by their vulnerability to defects, which can arise from malicious attacks or low‐quality data. Therefore, precisely locating the network components responsible for these defects, and subsequently repairing them without compromising overall model ...
Xiaofu Du +4 more
wiley +1 more source

