Rapid diagnosis of bacterial pneumonia is crucial for clinical diagnosis and treatment, but traditional methods are time-consuming. The wide application of machine learning techniques in medical ...
SBArchOpt (es-bee-ARK-opt) provides a set of classes and interfaces for applying Surrogate-Based Optimization (SBO) for system architecture optimization problems: Expensive black-box problems: ...
FIRESTARTER maximizes the energy consumption of 64-Bit x86 processors by generating heavy load on the execution units as well as transferring data between the cores and multiple levels of the memory ...
ABSTRACT: This paper introduces a novel variant of particle swarm optimization that leverages local displacements through attractors for addressing multiobjective optimization problems. The method ...
ABSTRACT: This paper introduces a novel variant of particle swarm optimization that leverages local displacements through attractors for addressing multiobjective optimization problems. The method ...
Abstract: This paper proposes an improved non-dominated sorting genetic algorithm (NSGA2)-DNSGA2, with the aim of preserving diversity of obtained optimal solution and avoiding the original NSGA2 ...
Prediction of stock price has been a hot topic in artificial intelligence field. Computational intelligent methods such as machine learning or deep learning are explored in the prediction system in ...
Abstract: The NSGA2 algorithm is one of the effective methods to solve multi-objective flexible job shop scheduling problems (MOFJSP). An improved NSGA2 algorithm is proposed to solve the MOFJSP model ...
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