Holland’s analysis of the sources of power of genetic algorithms has served as guidance for the applications of genetic algorithms for more than 15 years. The technique of applying a recombination operator (crossover) to a population of individuals is a key to that power. Neverless, there have been a number of contradictory results concerning crossover operators with respect to overall performa...

Crossover designs are efficient alternatives to parallel designs. Sample size reduction, comparing the 2x2 crossover to a two-arm parallel study, is approximately 4 to 1 in diabetes clinical trials. One challenge of using a crossover design is understanding and handling potential carryover effects. This paper will review the fundamentals of the crossover design, including design, model, and ana...

Pch2 is a widely conserved protein that is required in baker's yeast for the organization of meiotic chromosome axes into specific domains. We provide four lines of evidence suggesting that it regulates the formation and distribution of crossover events required to promote chromosome segregation at Meiosis I. First, pch2Delta mutants display wild-type crossover levels on a small (III) chromosom...

For the traveling salesman problem vari ous search algorithms have been suggested for decades In the eld of genetic algo rithms many genetic operators have been in troduced for the problem Most genetic en coding schemes have some restrictions that cause more or less loss of information con tained in problem instances We suggest a new encoding crossover pair which pur sues minimal information lo...

This paper presents an improved multi-objective evolutionary algorithm (IMOEA) for the design of planar steel frames. By considering constraints as a new objective function, single objective optimization problems turned to multi objective optimization problems. To increase efficiency of IMOEA different Crossover and Mutation are employed. Also to avoid local optima dynamic interference of mutat...

Dynamical crossover in water is studied by means of computer simulation. The crossover temperature is calculated from the behavior of velocity autocorrelation functions. The results are compared with experimental data. It is shown that the qualitative behavior of the dynamical crossover line is similar to the melting curve behavior. Importantly, the crossover line belongs to experimentally achi...

Genetic Algorithm (GAs) is used to solve optimization problems. It is depended on the selection operator, crossover and mutation rates. In this paper Roulette Wheel Selection (RWS) operator with different crossover and mutation probabilities, is used to solve well known optimization problem Traveling Salesmen Problem (TSP). We have compared the results of RWS with another selection method Stoch...

In the field of evolutionary algorithms (EAs), many operators have been introduced for the traveling salesman problem. Most encoding schemes have various restrictions that often result in a loss of information contained in problem instances. We suggest a new chromosomal encoding scheme that pursues minimal information loss and a crossover scheme with minimal restriction for the two-dimensional ...