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Articles 121 - 123 of 123
Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering
Instance-Based Parameter Tuning Via Search Trajectory Similarity Clustering, Linda Lindawati, Hoong Chuin Lau, David Lo
Instance-Based Parameter Tuning Via Search Trajectory Similarity Clustering, Linda Lindawati, Hoong Chuin Lau, David Lo
Research Collection School Of Computing and Information Systems
This paper is concerned with automated tuning of parameters in local-search based meta-heuristics. Several generic approaches have been introduced in the literature that returns a ”one-size-fits-all” parameter configuration for all instances. This is unsatisfactory since different instances may require the algorithm to use very different parameter configurations in order to find good solutions. There have been approaches that perform instance-based automated tuning, but they are usually problem-specific. In this paper, we propose CluPaTra, a generic (problem-independent) approach to perform parameter tuning, based on CLUstering instances with similar PAtterns according to their search TRAjectories. We propose representing a search trajectory as …
Delayed-Bang Approach Towards More Sustainable Critical Infrastructure Risk Management, C. Ariel Pinto, Michael K. Mcshane, Abhishek S. Pathak
Delayed-Bang Approach Towards More Sustainable Critical Infrastructure Risk Management, C. Ariel Pinto, Michael K. Mcshane, Abhishek S. Pathak
Finance Faculty Publications
This article describes the Delayed Bang Approach for determining the value of risk management alternatives in critical infrastructure security. The discussion includes (1) the need for sustainable risk management (2) the importance of time valuation in evaluating competing loss prevention and loss reduction alternatives, (3) the convergence of deterministic engineering economics, survivability analysis, and probabilistic analysis, and (4) hypothetical examples of the Delayed-Bang Approach and significance towards more sustainable risk management.
Emerging M&S Application In Risk Management, C. Ariel Pinto, Andreas Tolk, Michael Mcshane
Emerging M&S Application In Risk Management, C. Ariel Pinto, Andreas Tolk, Michael Mcshane
Engineering Management & Systems Engineering Faculty Publications
There has been compelling signs of the great potential of building further synergy with academics, researchers, and industry practitioners from the areas of Modeling and Simulation (M&S) managing risk events. This paper provides an introduction to risk management and how M&S has permeated the risk management process. The trend has been to harness the advantages of M&S tools and techniques in terms of efficiency and effectiveness in managing risks. However, the more important contribution of M&S may be in how it provides a way for specialists in various disciplines or industries interact to manage risks that require multi-disciplinary approach. This …