Model of preemptive embedded systems for optimizing real-time performance
Tongxin xuebao, 2005 By analyzing preemptions in embedded real-time systems adopting RM scheduling policy, created a preemption model of periodic real-time tasks. This model described the relationship between overheads incurred by preemptions and the properties of real-time ...
WEN Tao1 +3 more
doaj
Structure-Based Evolutionary Programming Design of Broadband Wire Antennas
International Journal of Antennas and Propagation, 2013 A design technique for wire antennas, based on the Structure-Based Evolutionary Programming, is used to design a broadband antenna with an end-fire radiation pattern and a very simple geometry, operating in the 3–16 GHz frequency band, namely, from the S
Giovanni Andrea Casula +2 more
doaj +1 more source
Estimation Models Generation using Linear Genetic Programming
CLEI Electronic Journal, 2009 The use of decision rules and estimation techniques is increasingly common for decision mak- ing. In recent years studies were conducted which applies Genetic Programming (GP) to obtain rules to make predictions.
Javier Martínez Canillas +2 more
doaj +1 more source
Neurogenetic Programming Framework for Explainable Reinforcement Learning [PDF]
arXiv, 2021 Automatic programming, the task of generating computer programs compliant with a specification without a human developer, is usually tackled either via genetic programming methods based on mutation and recombination of programs, or via neural language models.
arxiv
Combination of Evolutionary Algorithms with Experimental Design, Traditional Optimization and Machine Learning [PDF]
, 2016 Evolutionary algorithms alone cannot solve optimization problems very efficiently since there are many random (not very rational) decisions in these algorithms.
Zhang, Qingfu
core
Use of the q-Gaussian mutation in evolutionary algorithms [PDF]
, 2010 Copyright @ Springer-Verlag 2010.This paper proposes the use of the q-Gaussian mutation with self-adaptation of the shape of the mutation distribution in evolutionary algorithms.
A Obuchowicz +28 more
core +3 more sources
The Saccharomyces cerevisiae amino acid transporter Lyp1 has a broad substrate spectrum
FEBS Letters, EarlyView.In Saccharomyces cerevisiae, Yeast Amino acid Transporter family members mediate the import of amino acids, ranging from substrate specialists to generalists. Here, we show that the specialist transporter, Lyp1, has a broader substrate spectrum than previously described, with affinity constants spanning from micromolar to millimolar.
Foteini Karapanagioti +3 more
wiley +1 more source
Ant colony optimisation and local search for bin-packing and cutting stock problems [PDF]
, 2003 The Bin Packing Problem and the Cutting Stock Problem are two related classes of NP-hard combinatorial optimization problems. Exact solution methods can only be used for very small instances, so for real-world problems, we have to rely on heuristic ...
Bauer A +12 more
core +2 more sources
Autophagy in cancer and protein conformational disorders
FEBS Letters, EarlyView.Autophagy plays a crucial role in numerous biological processes, including protein and organelle quality control, development, immunity, and metabolism. Hence, dysregulation or mutations in autophagy‐related genes have been implicated in a wide range of human diseases.
Sergio Attanasio
wiley +1 more source
Application of multiobjective genetic programming to the design of robot failure recognition systems [PDF]
, 2009 We present an evolutionary approach using multiobjective genetic programming (MOGP) to derive optimal feature extraction preprocessing stages for robot failure detection.
Rockett, P.I., Zhang, Y.
core +1 more source