Add to ORKG[[abstract]]In practical reliability optimization models, finding an optimal solution to the model is not the only requirement. One may also be interested in solutions that are close to optimum, or one may want to know what happens if a change is made in the model. The authors present new reliability optimization models which can be formulated as parametric nonlinear integer programming problems. Solution methods are illustrated with examples and flow charts.[[fileno]]2020416010002[[department]]工工
Structural reliability technology provides analytical tools for management of uncertainty in all rel...
AbstractThis paper considers a class of composite optimization problems that are often difficult to ...
Uncertainties in design variables and problem parameters are often inevitable and must be considered...
[[abstract]]The reliable performance of a system for a mission under various conditions is of the ut...
[[abstract]]In this paper, we present algorithms for solving families of nonlinear integer programmi...
This paper describes a method of reliability optimization of a system subject to multiple constraint...
AbstractThis paper considers a class of optimization problems that is nonseparable in the sense of d...
[[abstract]]In constrained optimum system reliability problems, the reliability of each component is...
A large number of research articles have appeared in the literature during the last two decades on t...
This paper presents a multi-objective reliability optimization model taking system reliability and c...
In many reliability design problems, the decision variables can only have integer values. The redund...
[[abstract]]In many decentralized organizations, resource planning with sequential decision making c...
System reliability optimization is a living problem, with solutions methodologies that have evolved ...
Several applications are proposed for an efficient, fast and exact technique for solving integer pro...
Uncertainties in design variables and problem parameters are often inevitable and must be considered...
Structural reliability technology provides analytical tools for management of uncertainty in all rel...
AbstractThis paper considers a class of composite optimization problems that are often difficult to ...
Uncertainties in design variables and problem parameters are often inevitable and must be considered...
[[abstract]]The reliable performance of a system for a mission under various conditions is of the ut...
[[abstract]]In this paper, we present algorithms for solving families of nonlinear integer programmi...
This paper describes a method of reliability optimization of a system subject to multiple constraint...
AbstractThis paper considers a class of optimization problems that is nonseparable in the sense of d...
[[abstract]]In constrained optimum system reliability problems, the reliability of each component is...
A large number of research articles have appeared in the literature during the last two decades on t...
This paper presents a multi-objective reliability optimization model taking system reliability and c...
In many reliability design problems, the decision variables can only have integer values. The redund...
[[abstract]]In many decentralized organizations, resource planning with sequential decision making c...
System reliability optimization is a living problem, with solutions methodologies that have evolved ...
Several applications are proposed for an efficient, fast and exact technique for solving integer pro...
Uncertainties in design variables and problem parameters are often inevitable and must be considered...
Structural reliability technology provides analytical tools for management of uncertainty in all rel...
AbstractThis paper considers a class of composite optimization problems that are often difficult to ...
Uncertainties in design variables and problem parameters are often inevitable and must be considered...