Some large scale systems are hardly optimized :their optimal operating point cannot be directly found because the system models are unknown or difficult to be approximated. In that case, real-time optimization can be achieved by choosing successive operating points in such a way that the system operates nearer its optimal operating point. These various points inform about the relationships between the inputs and the outputs variables. Hierarchical optimization algorithms are presented which allow optimizing simultaneously several criteria.SCOPUS: cp.pinfo:eu-repo/semantics/publishe
Abstract. It is shown that any multicriteria problem can be represented by a hierarchical system. Se...
Abstract. Improved sample-based trade-off surface representations for large numbers of performance c...
Abstract. The analysis of the method for multiple criteria optimization problems applying a com-pute...
In practice, optimization problems are often multiple criteria. The criteria are usually contradicto...
A hierarchical optimization (or bilevel programming) problem consists of a decision maker called the...
AbstractA multi-level solution method is presented for multi-objective optimization of large-scale s...
Analysis of optimisation and decision-making theories was made during this master degree thesis. The...
Multi-criteria optimization problems naturally arise in practice when there is no single criterion f...
Dans cette thèse nous développons de nouvelles techniques pour résoudre les problèmes d'optimisation...
The paper presents two new parallel solution strategies to solve complex multiple criteria problems ...
System performance optimization has become an important and difficult field for large scientific com...
The commercial library Optimization 2.1 for interac-tive multi-criteria optimization tasks has been ...
Optimization is defined as the mathematical procedures involved in effecting optimality. It is also ...
The aim of this investigation is to analyze a class of multiple criteria optimization problems that ...
Dynamic optimization has been proposed to overcome many limitations of static optimization, such as ...
Abstract. It is shown that any multicriteria problem can be represented by a hierarchical system. Se...
Abstract. Improved sample-based trade-off surface representations for large numbers of performance c...
Abstract. The analysis of the method for multiple criteria optimization problems applying a com-pute...
In practice, optimization problems are often multiple criteria. The criteria are usually contradicto...
A hierarchical optimization (or bilevel programming) problem consists of a decision maker called the...
AbstractA multi-level solution method is presented for multi-objective optimization of large-scale s...
Analysis of optimisation and decision-making theories was made during this master degree thesis. The...
Multi-criteria optimization problems naturally arise in practice when there is no single criterion f...
Dans cette thèse nous développons de nouvelles techniques pour résoudre les problèmes d'optimisation...
The paper presents two new parallel solution strategies to solve complex multiple criteria problems ...
System performance optimization has become an important and difficult field for large scientific com...
The commercial library Optimization 2.1 for interac-tive multi-criteria optimization tasks has been ...
Optimization is defined as the mathematical procedures involved in effecting optimality. It is also ...
The aim of this investigation is to analyze a class of multiple criteria optimization problems that ...
Dynamic optimization has been proposed to overcome many limitations of static optimization, such as ...
Abstract. It is shown that any multicriteria problem can be represented by a hierarchical system. Se...
Abstract. Improved sample-based trade-off surface representations for large numbers of performance c...
Abstract. The analysis of the method for multiple criteria optimization problems applying a com-pute...