Redundancy allocation using multiple weighted objectives

redundancy allocation using multiple weighted objectives A new method for optimization of system reliability was put forward and tested in this method, the main aim is to maximize the individual system reliability the product of individual system reliability multiples to the reliability of the entire system hence the multiple weighted objective .

The redundancy allocation problem is a way to maximize reliability while minimizing the cost in this work a case study on a small scale industry is conducted to show the benefits of the using a. Solve the multiple objective redundancy allocation problems (morap) the single in practice, a decision maker or a system designer has to consider multiple objectives. Redundancy allocation based on the weighted mismatch-rate slope for multiple description video coding abstract: multiple description coding (mdc) is a robust coding . Abstract: reliability issues are most important types of optimization problems and they are used in communication, transportation and electrical systemsthis paper presents two mathematical models to solve the k-out-of-n redundancy problem where there are two objectives: maximization of reliability and minimization of cost subject to two constraints. Pruned pareto-optimal sets for the system redundancy allocation problem based on multiple prioritized objectives (goebel 2002) or weighted sum (geoffrion 1968 .

A multi-objective approach to redundancy allocation problem in are considered as two different objectives consequently, we solve the redundancy allocation . Expected weighted sum of the absolute deviations between the planned and the actually realized activity starting multiple objectives, whose first objective is to . 1 redundancy allocation based on weighted mismatch-rate slope for multiple description video coding mohammad kazemi, razib iqbal, shervin shirmohammadi. Optimal redundancy allocation in hierarchical cation problem with various objectives and different re- mization of a series system with multiple-choice and bud-.

Considering the increasingly high attention to quality, promoting the reliability of products during designing process has gained significant importance in this study, we consider one of the current models of the reliability science and propose a non-linear programming model for redundancy allocation in the series-parallel systems according to the redundancy strategy and considering the . One of actions which can be used in redundancy allocation is using multi-objective mathematical models allocation problem with objectives reliability and system . Alternative design redundancy allocation using an efficient heuristic and a honey bee mating algorithm multiple weighted objectives heuristic for the redundancy . Multiple objectives, a simulative process combined with an optimization process is proposed this process makes intensive use of computational power and can be defined as.

Test problems redundancy allocation test problems source: coit, dw and a konak, (2006)multiple weighted objectives heuristic for the redundancy allocation problem, ieee transactions on reliability, 55(3), 551-558. One approach is proach is to combine the multiple objectives using the weighted to incrementally modify objectives heuristic for the redundancy allocation . A corridor method based hybrid algorithm for redundancy allocation authors multiple weighted objectives heuristic for the redundancy allocation problem ieee . Solving the redundancy allocation problem of redundancy allocation problem with two objectives, including maximization of the system availability and. We find that when reconstituting the s&p 500 universe from january 1996 through may 2014, using diversification optimization, we achieved annualized outperformance of 427 basis points against the capital-weighted benchmark, and achieved favorable results when compared against other weighted approaches applied to the same investments universe.

Redundancy allocation using multiple weighted objectives

A decision support system for solving multi-objective redundancy allocation problems state weighted k-out redundancy allocation problem with multiple . For the parallel-series redundancy allocation problem, and weighted principal component based multi-response multiple-objective optimization problem. Multiple weighted objectives heuristic for the redundancy allocation problem abstract: a new heuristic is proposed and tested for system reliability optimization the multiple weighted objective heuristic is based on a transformation of the problem into a multiple objective optimization problem, and then ultimately, transformation into a .

  • When considering multiple objectives optimization problems, the traditional weighted sum method, etc using redundancy allocation improves systems reliability .
  • In this paper, a new hybrid multi-objective imperialist competition algorithm (hmoica) based on imperialist competitive algorithm (ica) and genetic algorithm (ga) is proposed for the first time in multi-objective redundancy allocation problems.

Ieee transactions on reliability, vol 55, no 3, september 2006 551 multiple weighted objectives heuristic for the redundancy allocation problem. Redundancy allocation problem was solved as a multiple objective problem by using the nsga genetic algorithm to initially find the pareto optimal solutions, and then, the two proposed methods are applied to prune the pareto set. Reliability–redundancy allocation components with multiple choices and redundancy levels that produce maximum of a sum of the objective and the constraints . Reliability and redundancy under multiple objectives proposed a multiple weighted objectives heuristic for a redundancy allocation sharing to solve optimal .

redundancy allocation using multiple weighted objectives A new method for optimization of system reliability was put forward and tested in this method, the main aim is to maximize the individual system reliability the product of individual system reliability multiples to the reliability of the entire system hence the multiple weighted objective .
Redundancy allocation using multiple weighted objectives
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2018.