Abstract-Genetic algorithms provide a straightforward technique for the synthesis of optimal control policies for manufacturing system. However, it is shown in this paper that punctuated equilibria can occur in the evolutionary processes associated with such genetic synthesis procedures. The care that must therefore be exercised in avoiding sub-optimal control policies is control policies for a simple manufacturing system. reference to the genetic synthesis of optimal control policies for a simple manufacturing syste,,?. GENETIC SYNTHESIS PROCEDURE The manufacturing systems under investigation produce p part types. The dynamical behaviour of such systems is governed by linear differential equation of illustrated by reference to the genetic ...
This article deals with the optimization of production processes at advanced technological enterpris...
In this article, an approach based on the concept of genetic algorithms is proposed as a powerful bu...
This paper introduces a new method for the control of nonlinear systems using genetic algorithms. Th...
Genetic algorithms provide a straightforward technique for the synthesis of optimal control policies...
In this paper, evolution strategies are used to synthesise optimal control policies for manufacturin...
The article depicts an evolutionary approach to simulation based optimization of a typical manufactu...
The article depicts an evolutionary approach to simulation based optimization of a typical manufactu...
Two approaches to the numerical solution of the optimal control problem are studied. The direct appr...
The problems presented in this article deal with operation process control in complex systems of tec...
This paper deals with the problem of optimization of a production plan by using genetic algorithms. ...
A paper considers a synthesized optimal control problem. To solve this problem, it is necessary to s...
The optimal control problem with phase constraints is considered. A new indirect approach of synthes...
published_or_final_versiontocabstractIndustrial and Manufacturing Systems EngineeringDoctoralDoctor ...
Summarization: The effectiveness of optimized fuzzy controllers in the production scheduling has bee...
The new computing method of solution of a classical problem of optimum control is considered. The me...
This article deals with the optimization of production processes at advanced technological enterpris...
In this article, an approach based on the concept of genetic algorithms is proposed as a powerful bu...
This paper introduces a new method for the control of nonlinear systems using genetic algorithms. Th...
Genetic algorithms provide a straightforward technique for the synthesis of optimal control policies...
In this paper, evolution strategies are used to synthesise optimal control policies for manufacturin...
The article depicts an evolutionary approach to simulation based optimization of a typical manufactu...
The article depicts an evolutionary approach to simulation based optimization of a typical manufactu...
Two approaches to the numerical solution of the optimal control problem are studied. The direct appr...
The problems presented in this article deal with operation process control in complex systems of tec...
This paper deals with the problem of optimization of a production plan by using genetic algorithms. ...
A paper considers a synthesized optimal control problem. To solve this problem, it is necessary to s...
The optimal control problem with phase constraints is considered. A new indirect approach of synthes...
published_or_final_versiontocabstractIndustrial and Manufacturing Systems EngineeringDoctoralDoctor ...
Summarization: The effectiveness of optimized fuzzy controllers in the production scheduling has bee...
The new computing method of solution of a classical problem of optimum control is considered. The me...
This article deals with the optimization of production processes at advanced technological enterpris...
In this article, an approach based on the concept of genetic algorithms is proposed as a powerful bu...
This paper introduces a new method for the control of nonlinear systems using genetic algorithms. Th...