Universal Alignment Probabilities and Subset Selection for Ordinal Optimization

Lau, Tak Wing Edward; Ho, Yu-Chi

doi:10.1023/a:1022614327007

Cited by 150 publications

(117 citation statements)

References 8 publications

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“…Instead, the task is to find a satisfactory solution with some guarantees on quality (called alignment probability) [127]. Here, the focus is on sampling a chosen subset of the solutions and evaluating them to determine the best among them.…”

Section: Large/infinite Parameter Spacesmentioning

confidence: 99%

Simulation optimization: a review of algorithms and applications

et al. 2014

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Simulation Optimization (SO) refers to the optimization of an objective function subject to constraints, both of which can be evaluated through a stochastic simulation. To address specific features of a particular simulation-discrete or continuous decisions, expensive or cheap simulations, single or multiple outputs, homogeneous or heterogeneous noise-various algorithms have been proposed in the literature. As one can imagine, there exist several competing algorithms for each of these classes of problems. This document emphasizes the difficulties in simulation optimization as compared to mathematical programming, makes reference to state-of-the-art algorithms in the field, examines and contrasts the different approaches used, reviews some of the diverse applications that have been tackled by these methods, and speculates on future directions in the field.

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Section: Large/infinite Parameter Spacesmentioning

confidence: 99%

Simulation optimization: a review of algorithms and applications

et al. 2014

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“…The searching process in the procedure would be reduced. To obtain the top optimum proportion solutions, Lau and Ho [52] noted that the top 5% of solutions can be treated as a reliable criterion with a very high probability (≥0.95) of obtaining satisfactory solutions.…”

Section: Ordinal Optimization Approachmentioning

confidence: 99%

A Hybrid Heuristic Optimization Approach for Leak Detection in Pipe Networks Using Ordinal Optimization Approach and the Symbiotic Organism Search

Lin

2017

Water

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The OOA is applied to sift through the candidate pipes and the initial organisms with leak information. The SOS is employed to determine the leaks by minimizing the sum of differences between simulated and computed head at the observation points. Two synthetic leaking scenarios, a simple pipe network and a water distribution network (WDN), are chosen to test the performance of leak detection ordinal symbiotic organism search (LDOSOS). Leak information can be accurately identified by the proposed approach for both of the scenarios. The presented technique makes a remarkable contribution to the success of leak detection in the pipe networks.

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“…In ordinal optimization, the objective is not to determine the one best policy but rather to select a policy which, due to its significantly high probability, is has the highest percentile of ranking among all possible policies [5,6].…”

Section: Ordinal Optimizationmentioning

confidence: 99%

A Study on Application of RCM Method to Power Distribution System using Ordinal Optimization

Moon¹,

Ji²

2012

The Transactions of the Korean Institute of Electrical Engineer

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-This paper proposes optimal maintenance strategies for power distribution systems that involve the use of the reliability-centered maintenance (RCM) method. We developed an improved decision model based on the Markov process. This model can obtain the optimal inspection interval and maintenance method based on the total expected cost. We used ordinal optimization for solving the optimal problem. Optimal maintenance strategies were presented by applying the developed method to the RBTS model. A B/C analysis proved that these strategies offer maximum benefit-to-cost.

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Universal Alignment Probabilities and Subset Selection for Ordinal Optimization

Cited by 150 publications

References 8 publications

Simulation optimization: a review of algorithms and applications

Simulation optimization: a review of algorithms and applications

A Hybrid Heuristic Optimization Approach for Leak Detection in Pipe Networks Using Ordinal Optimization Approach and the Symbiotic Organism Search

A Study on Application of RCM Method to Power Distribution System using Ordinal Optimization

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