Tuning operating systems helps system administrators improve system performance and efficiency, but it can be time-consuming. These authors propose a mechanism, based on genetic algorithms, to automate this process by running simulations of system performance for various parameter values during the system’s idle loop
Tuning of the PID controller is often done by trial and error which is tedious, · time consuming and...
This work goals are SIMULA classes to model experts sessions so that each expert has his own start i...
Parameter tuning in Evolutionary Algorithms (EA), is a great obstacle that can become the key to suc...
Modern operating systems are highly parameterized, allowing system administrators to tune them in o...
This paper presents a novel approach for designing a fixed gain robust power system stabilizer (PSS) ...
Abstract:- The coordinated tuning of power system stabilizers (PSS) consists of an optimization prob...
Abstract. The use of locking caches has been recently proposed to ease the analysis of the performan...
This paper aims to design optimal power system stabilizer (PSS) employing genetic programming (GP) t...
A Genetic-based Power System Stabilizer (GPSS) is presented in this paper to improve power system dy...
The PID controller is widely used in industry and its tuning is always a concern for the plant stabi...
A simple but reliable model tuning method was developed in order to tune a flight model for a high-f...
The problem of power system stabilizer (PSS) parameter tuning is a complex exercise because of the p...
We develop an online optimisation framework for self tuning of computer systems. Towards this, we fi...
AbstractMany adaptive systems require optimization in real time. Whether it is a robot that must mai...
This article proposes tuning of PID controllers through optimization techniques known as collective ...
Tuning of the PID controller is often done by trial and error which is tedious, · time consuming and...
This work goals are SIMULA classes to model experts sessions so that each expert has his own start i...
Parameter tuning in Evolutionary Algorithms (EA), is a great obstacle that can become the key to suc...
Modern operating systems are highly parameterized, allowing system administrators to tune them in o...
This paper presents a novel approach for designing a fixed gain robust power system stabilizer (PSS) ...
Abstract:- The coordinated tuning of power system stabilizers (PSS) consists of an optimization prob...
Abstract. The use of locking caches has been recently proposed to ease the analysis of the performan...
This paper aims to design optimal power system stabilizer (PSS) employing genetic programming (GP) t...
A Genetic-based Power System Stabilizer (GPSS) is presented in this paper to improve power system dy...
The PID controller is widely used in industry and its tuning is always a concern for the plant stabi...
A simple but reliable model tuning method was developed in order to tune a flight model for a high-f...
The problem of power system stabilizer (PSS) parameter tuning is a complex exercise because of the p...
We develop an online optimisation framework for self tuning of computer systems. Towards this, we fi...
AbstractMany adaptive systems require optimization in real time. Whether it is a robot that must mai...
This article proposes tuning of PID controllers through optimization techniques known as collective ...
Tuning of the PID controller is often done by trial and error which is tedious, · time consuming and...
This work goals are SIMULA classes to model experts sessions so that each expert has his own start i...
Parameter tuning in Evolutionary Algorithms (EA), is a great obstacle that can become the key to suc...
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