despite the role of oral corticosteroids in management of sever asthma, use of these drugs needs careful awareness of its many side effects. there are controversies about the role of methotrexate in lowering the need for corticosteroides in these patients. in this study an attempt has been made to determine methotrexate effects in corticosteroid dependent asthma. six patients were entered in a ...

Abstract To ensure that the power supply can be restored quickly when ship’s system fails, fault reconstruction method of is studied. Taking number switching operations and load loss as objective function, traditional genetic algorithm improved by introducing a Tent population initialization, adaptive crossover probability, mutation probability to realize ship regional distribution system. Two ...

This paper applies the elitist genetic algorithm to electric vehicle routing problem with time window. In initialization, proposes an improved neighbor initialization method for adaptive algorithm. The is used select nearest EV customer as next route be scheduled and make start from suitable first in of GA. It makes begins a neighboring directionality, which can inherited selection, crossover, ...

In Vector Quantization (VQ), minimization of Mean Square Error (MSE) between code book vectors and training vectors is a non-linear problem. Traditional LBG type of algorithms converge to a local minimum, which depends on the initial code book. While most of the efforts in VQ have been directed towards designing efficient search algorithms for code book, little has been done in evolving a proce...

This paper studies the nonlinear optimization problems subject to bipolar max-min fuzzy relation equation constraints. The feasible solution set of the problems is non-convex, in a general case. Therefore, conventional nonlinear optimization methods cannot be ideal for resolution of such problems. Hence, a Genetic Algorithm (GA) is proposed to find their optimal solution. This algorithm uses th...

We describe a recipe to solve very large parity problems using GP. The recipe includes: smooth uniform crossover (a crossover operator inspired by our theoretical research), sub-machine-code GP (a technique to speed up fitness evaluation in Boolean classification problems), and interacting demes (sub-populations) running on separate workstations. We tested this recipe on parity problems with up...

The (1 + (λ, λ)) genetic algorithm is one of the few algorithms for which a super-constant speed-up through the use of crossover could be proven. So far, this algorithm has been used with parameters based also on intuitive considerations. In this work, we rigorously regard the whole parameter space and show that the asymptotic time complexity proven by Doerr and Doerr (GECCO 2015) for the intui...

We calculate the time evolution of Landau-Zener tunneling for atoms in an accelerating optical lattice. Analytical expressions are obtained that are in good agreement with a recent observation of nonexponential decay. We identify new experimental regimes that show a crossover from strong coherent oscillations to exponential decay in the temporal evolution of the survival probability. We establi...

This paper proposes two new crossover operators for searching over discrete probability spaces. The design of the operators is considered in the light of recent theoretical insights into genetic search provided by forma analysis. A nontrivial test problem in enforcing coherency of probability estimates in cross-impact analysis highlights the utility of the designed operators. The presented oper...

Although differential evolution (DE) algorithms perform well on a large variety of complicated optimization problems, only few theoretical studies are focused the working principle DE algorithms. To make first attempt to reveal function binomial crossover, this paper aims answer whether it can reduce approximation error evolutionary By investigating expected and probability not finding optimum,...