David W. Coit

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Multi-objective formulations are realistic models for many complex engineering optimization problems. In many real-life problems, objectives under consideration conflict with each other, and optimizing a particular solution with respect to a single objective can result in unacceptable results with respect to the other objectives. A reasonable solution to a(More)
& Conclusions-A problem specific genetic algorithm (GA) is developed and demonstrated to analyze series-parallel systems and to determine the optimal design configuration when there are multiple component choices available for each of several k-out-of-n:G subsystems. The problem is to select components and levels of redundancy to optimize some objective(More)
SADAN KULTUREL-KONAK1, ALICE E. SMITH2 and DAVID W. COIT3 1Management Information Systems, Penn State Berks-Lehigh Valley College, Tulpehocken Road, P.O. Box 7009, Reading, PA 19610-6009, USA E-mail: sadan@psu.edu 2Department of Industrial and Systems Engineering, Auburn University, 207 Dunstan Hall, Auburn, AL 36849, USA E-mail: aesmith@eng.auburn.edu(More)
This paper presents and evaluates composite importance measures (CIM) for multi-state systems with multi-state components (MSMC). Importance measures are important tools to evaluate and rank the impact of individual components within a system. For multi-state systems, previously developed measures do not meet all user needs. The major focus of the study is(More)
A custom genetic algorithm was developed and implemented to solve multiple objective multi-state reliability optimization design problems. Many real-world engineering design problems are multiobjective in nature, and among those, several of them have various levels of system performance ranging from perfectly functioning to completely failed. This(More)
This paper proposes a practical methodology for the solution of multi-objective system reliability optimization problems. The new method is based on the sequential combination of multi-objective evolutionary algorithms and data clustering on the prospective solutions to yield a smaller, more manageable sets of prospective solutions. Existing methods for(More)
Two-Terminal Reliability Jose E. Ramirez-Marquez and David W. Coit Department of Industrial and Systems Engineering, Rutgers University Abstract This paper presents an approximation methodology for estimating the reliability of a multi-state network. The problem under consideration is known as the multi-state two-terminal reliability (M2TR) computation.(More)