Abstract: This paper proposes the integration of simulated annealing into an adaptive genetic algorithm in order to solve reactive power optimization problems. The idea of using a genetic algorithm as ...

The old medical advice to “start low and go slow” reflects a fundamental challenge in healthcare: the same drug at the same dose can heal one patient while harming another. For decades, physicians ...

Library Evolutionary Algorithms for Clustering (LEAC) is a library of genetic algorithms to solve the problem of partition clustering. It includes 22 classification genetic algorithms for solving ...

Objectives To assess whether genotype-guided selection of oral antiplatelet drugs using a clinical decision support (CDS) algorithm reduces the rate of major adverse cardiovascular and cerebrovascular ...

Mobile robots have an important role in material handling in manufacturing and can be used for a variety of automated tasks. The accuracy of the robot’s moving trajectory has become a key issue ...

Each presentation is presented by a speaker and supervised by three supervisors. There are k supervisors available. There are two types of constraints: hard constraints and soft constraints. Hard ...

Chromosome 15 imprinting disorders include Prader-Willi (PWS) and Angelman (AS) syndromes, which are caused by absent expression from the paternal and maternal alleles in the chromosome 15q11. 2–q13 ...

One of the major questions in human genetics is what percentage of individuals in the general population carry a disease-causing mutation. Based on publicly available information on genotypes from six ...