Privacy: Theory meets practice on the map
In this paper, we propose the first formal privacy analysis of a data anonymization process
known as the synthetic data generation, a technique becoming popular in the statistics …
known as the synthetic data generation, a technique becoming popular in the statistics …
Protein folding in simplified models with estimation of distribution algorithms
R Santana, P Larrañaga… - IEEE transactions on …, 2008 - ieeexplore.ieee.org
Simplified lattice models have played an important role in protein structure prediction and
protein folding problems. These models can be useful for an initial approximation of the …
protein folding problems. These models can be useful for an initial approximation of the …
Clonal selection algorithms: A comparative case study using effective mutation potentials
This paper presents a comparative study of two important Clonal Selection Algorithms
(CSAs): CLONALG and opt-IA. To deeply understand the performance of both algorithms …
(CSAs): CLONALG and opt-IA. To deeply understand the performance of both algorithms …
Artificial immune system for combined heat and power economic dispatch
M Basu - International Journal of Electrical Power & Energy …, 2012 - Elsevier
This paper presents artificial immune system algorithm for solving the combined heat and
power economic dispatch problem. Artificial immune system is based on the clonal selection …
power economic dispatch problem. Artificial immune system is based on the clonal selection …
Artificial immune system for dynamic economic dispatch
M Basu - International Journal of Electrical Power & Energy …, 2011 - Elsevier
Dynamic economic dispatch determines the optimal scheduling of online generator outputs
with predicted load demands over a certain period of time taking into consideration the ramp …
with predicted load demands over a certain period of time taking into consideration the ramp …
Naturally selecting solutions: the use of genetic algorithms in bioinformatics
For decades, computer scientists have looked to nature for biologically inspired solutions to
computational problems; ranging from robotic control to scheduling optimization …
computational problems; ranging from robotic control to scheduling optimization …
Artificial immune system for fixed head hydrothermal power system
M Basu - Energy, 2011 - Elsevier
This paper presents artificial immune system for optimal scheduling of thermal plants in
coordination with fixed head hydro units. Numerical results of two test systems have been …
coordination with fixed head hydro units. Numerical results of two test systems have been …
An evolutionary algorithm-based approach to robust analog circuit design using constrained multi-objective optimization
The increasing complexity of circuit design needs to be managed with appropriate
optimization algorithms and accurate statistical descriptions of design models in order to …
optimization algorithms and accurate statistical descriptions of design models in order to …
Fast clonal algorithm
The aim of this paper is to design an efficient and fast clonal algorithm for solving various
numerical and combinatorial real-world optimization problems effectively and speedily …
numerical and combinatorial real-world optimization problems effectively and speedily …
Clustered memetic algorithm with local heuristics for ab initio protein structure prediction
MK Islam, M Chetty - IEEE Transactions on Evolutionary …, 2012 - ieeexplore.ieee.org
Low-resolution protein models are often used within a hierarchical framework for structure
prediction. However, even with these simplified but realistic protein models, the search for …
prediction. However, even with these simplified but realistic protein models, the search for …