Daniel E. Salazar Aponte

Orcid: 0000-0002-8081-9280

According to our database1, Daniel E. Salazar Aponte authored at least 12 papers between 2005 and 2014.

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Bibliography

2014
A Systems Approach for Evaluating the Effectiveness of Radiological and Nuclear Detection Architectures in Urban Areas.
Syst. Eng., 2014

2011
Assessing the Vulnerability of a Power System Through a Multiple Objective Contingency Screening Approach.
IEEE Trans. Reliab., 2011

2010
Bi and tri-objective optimization in the deterministic network interdiction problem.
Reliab. Eng. Syst. Saf., 2010

2009
On Uncertainty and Robustness in Evolutionary Optimization-Based MCDM.
Proceedings of the Evolutionary Multi-Criterion Optimization, 5th International Conference, 2009

09041 Working Group on EMO for Robust Multiobjective Optimization (1st Round).
Proceedings of the Hybrid and Robust Approaches to Multiobjective Optimization, 18.01., 2009

2007
A Hybrid Approach Based on Evolutionary Strategies and Interval Arithmetic to Perform Robust Designs.
Proceedings of the Evolutionary Computation in Dynamic and Uncertain Environments, 2007

New Evolutionary Methodologies for Integrated Safety System Design and Maintenance Optimization.
Proceedings of the Computational Intelligence in Reliability Engineering: Evolutionary Techniques in Reliability Analysis and Optimization, 2007

Solving advanced multi-objective robust designs by means of multiple objective evolutionary algorithms (MOEA): A reliability application.
Reliab. Eng. Syst. Saf., 2007

2006
Optimization of constrained multiple-objective reliability problems using evolutionary algorithms.
Reliab. Eng. Syst. Saf., 2006

Use of multiple objective evolutionary algorithms in optimizing surveillance requirements.
Reliab. Eng. Syst. Saf., 2006

2005
Exploiting Comparative Studies Using Criteria: Generating Knowledge from an Analyst's Perspective.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2005

An optimization algorithm for imprecise multi-objective problem functions.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005


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