AbstractA multi-level solution method is presented for multi-objective optimization of large-scale systems associated with the hierarchical structure of decision-making. The method, consisting of a multi-level problem formulation and an interactive algorithm, has distinct advantages in handling the difficulties which are often experienced in engineering. The method is illustrated by its application to an optimal design of a processing system
In real-world optimisation problems, feasibility of solutions is invariably an essential requirement...
La conception d'un système électrique est une tâche très complexe qui relève d expertises dans diffé...
A multilevel optimization approach which is applicable to nonhierarchic coupled systems is presented...
Multi-level optimization and multi-disciplinary optimization are areas of research that are concerne...
Complex systems, such as those encountered in aerospace engineering, can typically be considered as ...
This paper proposes a hierarchical procedure for solving decision problems with multiple objectives....
A hot topic in the process systems engineering community is the so called integration of decision le...
In order to make most effective use of an optimization problem formulation within actual design scen...
Many optimization problems in economics are of the multiobjective type and highdimensional. Pos-sibi...
Optimization is used for finding one or mo re optimal or feasible solutions for single and multiple ...
In practice, optimization problems are often multiple criteria. The criteria are usually contradicto...
Optimization is used for finding one or more optimal or feasible solutions for single and multiple o...
Decomposition-based optimization techniques are attractive for designing complex systems in industr...
Some large scale systems are hardly optimized :their optimal operating point cannot be directly foun...
Multidisciplinary design optimization (MDO) gives rise to nonlinear optimization problems characteri...
In real-world optimisation problems, feasibility of solutions is invariably an essential requirement...
La conception d'un système électrique est une tâche très complexe qui relève d expertises dans diffé...
A multilevel optimization approach which is applicable to nonhierarchic coupled systems is presented...
Multi-level optimization and multi-disciplinary optimization are areas of research that are concerne...
Complex systems, such as those encountered in aerospace engineering, can typically be considered as ...
This paper proposes a hierarchical procedure for solving decision problems with multiple objectives....
A hot topic in the process systems engineering community is the so called integration of decision le...
In order to make most effective use of an optimization problem formulation within actual design scen...
Many optimization problems in economics are of the multiobjective type and highdimensional. Pos-sibi...
Optimization is used for finding one or mo re optimal or feasible solutions for single and multiple ...
In practice, optimization problems are often multiple criteria. The criteria are usually contradicto...
Optimization is used for finding one or more optimal or feasible solutions for single and multiple o...
Decomposition-based optimization techniques are attractive for designing complex systems in industr...
Some large scale systems are hardly optimized :their optimal operating point cannot be directly foun...
Multidisciplinary design optimization (MDO) gives rise to nonlinear optimization problems characteri...
In real-world optimisation problems, feasibility of solutions is invariably an essential requirement...
La conception d'un système électrique est une tâche très complexe qui relève d expertises dans diffé...
A multilevel optimization approach which is applicable to nonhierarchic coupled systems is presented...
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