[[abstract]]A class of reliability optimization problems with multiple-choice constraints is presented. It is assumed that at least one design alternative can be chosen as redundancy for each subsystem. A two-phase solution method is presented for solving these problems. In phase I, the problem is decomposed into n subproblems. These subproblems can be solved by dynamic programming independently, that is, by parallelism. In phase II, a 0-1 multiple-choice knapsack problem which is generated from phase I is solved, using a combinatorial tree that always satisfies the multiple-choice constraints. The two-phase solution method is illustrated with a numerical example.[[fileno]]2020416010001[[department]]工工
AbstractThe multiple-choice knapsack problem is a binary knapsack problem with the addition of disjo...
The reliability literature offers an abundance of methods for the optimal design of systems under so...
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In this paper, we combine reliability-based optimization with a multi-objective evolutionary algorit...
[[abstract]]Finding the optimal redundancy that maximizes the system reliability is one of the impor...
The paper tackles the problem of maximizing the reliability of a series system by an opportune choic...
The present paper provides an efficient approach to multiple criteria redundancy optimization proble...
AbstractThe paper considers a generalization of the optimal redundancy problem. We consider any mixe...
AbstractThe Reliability Optimization Models for Redundant Systems with multiple constraints for one ...
International audienceReliability & redundancy allocation is one of the most frequently encountered ...
The present paper provides a new mathematical formulation of a combined reliability and redundancy a...
This thesis deals with the design and optimization problems of the reliability of the systems taking...
This paper describes a method of reliability optimization of a system subject to multiple constraint...
An efficient approach to multiple criteria redundancy optimization problem, often encountered in rel...
AbstractThe multiple-choice knapsack problem is a binary knapsack problem with the addition of disjo...
The reliability literature offers an abundance of methods for the optimal design of systems under so...
System reliability optimization models considering uncertainty are described, and new algorithms are...
The redundancy allocation problem is formulated minimizing the design cost for a series-parallel sys...
In this paper, we combine reliability-based optimization with a multi-objective evolutionary algorit...
[[abstract]]Finding the optimal redundancy that maximizes the system reliability is one of the impor...
The paper tackles the problem of maximizing the reliability of a series system by an opportune choic...
The present paper provides an efficient approach to multiple criteria redundancy optimization proble...
AbstractThe paper considers a generalization of the optimal redundancy problem. We consider any mixe...
AbstractThe Reliability Optimization Models for Redundant Systems with multiple constraints for one ...
International audienceReliability & redundancy allocation is one of the most frequently encountered ...
The present paper provides a new mathematical formulation of a combined reliability and redundancy a...
This thesis deals with the design and optimization problems of the reliability of the systems taking...
This paper describes a method of reliability optimization of a system subject to multiple constraint...
An efficient approach to multiple criteria redundancy optimization problem, often encountered in rel...
AbstractThe multiple-choice knapsack problem is a binary knapsack problem with the addition of disjo...
The reliability literature offers an abundance of methods for the optimal design of systems under so...
System reliability optimization models considering uncertainty are described, and new algorithms are...