Add to ORKGAbstract: This paper focuses on multi-objective optimisation of staged combustion control for aviation gas turbine engines. Pareto optimisation based multi-objective genetic algorithms are used to design the fuel distribution control laws of a staged combustor. The results of control system parameter optimisation over International Civil Aviation Organisation Landing and Take-off cycle and the typical engine operation condition are presented. An analysis of the control-related issues for optimal fuel distribution is presented
The increasing use of embedded intelligence to produce smart sensors and actuators offers great pote...
This paper addresses a design optimization of a gas turbine (GT) for marine applications. A gain-sch...
Genetic algorithms (GAs) are parameter search techniques that rely on analogies to natural biologica...
This paper describes a novel approach to the design of a control system for an aircraft gas turbine ...
This paper describes the use of multiobjective genetic algorithms (MOGAs) in the design of a multiva...
Multi-objective optimization is performed of a turbofan. The objectives are to minimize the Specific...
This paper describes a novel approach to the problem of control mode analysis for advanced concept g...
SIGLEAvailable from British Library Document Supply Centre- DSC:DX170381 / BLDSC - British Library D...
The aim of engine control optimization is to derive the optimal control law for engine operation man...
This paper proposes a Linkage Learning Genetic Algorithm (LLGA) based on the messy Genetic Algorithm...
The increasing use of embedded intelligence to produce smart sensors and actuators offers great pote...
This paper describes the use of multiobjective genetic algorithms (MOGAs) in the design of a multiva...
AbstractOne of the factors limiting the utilization of piston internal combustion engines for aircra...
One of the factors limiting the utilization of piston internal combustion engines for aircraft propu...
Abstract- This paper proposes a multi-objective structure for the optimization of an engine control ...
The increasing use of embedded intelligence to produce smart sensors and actuators offers great pote...
This paper addresses a design optimization of a gas turbine (GT) for marine applications. A gain-sch...
Genetic algorithms (GAs) are parameter search techniques that rely on analogies to natural biologica...
This paper describes a novel approach to the design of a control system for an aircraft gas turbine ...
This paper describes the use of multiobjective genetic algorithms (MOGAs) in the design of a multiva...
Multi-objective optimization is performed of a turbofan. The objectives are to minimize the Specific...
This paper describes a novel approach to the problem of control mode analysis for advanced concept g...
SIGLEAvailable from British Library Document Supply Centre- DSC:DX170381 / BLDSC - British Library D...
The aim of engine control optimization is to derive the optimal control law for engine operation man...
This paper proposes a Linkage Learning Genetic Algorithm (LLGA) based on the messy Genetic Algorithm...
The increasing use of embedded intelligence to produce smart sensors and actuators offers great pote...
This paper describes the use of multiobjective genetic algorithms (MOGAs) in the design of a multiva...
AbstractOne of the factors limiting the utilization of piston internal combustion engines for aircra...
One of the factors limiting the utilization of piston internal combustion engines for aircraft propu...
Abstract- This paper proposes a multi-objective structure for the optimization of an engine control ...
The increasing use of embedded intelligence to produce smart sensors and actuators offers great pote...
This paper addresses a design optimization of a gas turbine (GT) for marine applications. A gain-sch...
Genetic algorithms (GAs) are parameter search techniques that rely on analogies to natural biologica...