Evolvable hardware is a type classification of reconfigurable hardware. This gives designer run time hardware configuration facility that is optimized in many senses. The basic methodology of designing evolvable hardware comes from genetic algorithm. Genetic algorithm defines different operator on a given problem that are run iteratively to reach optimal solution. One such operator is crossover...

We determine the scaling functions describing the crossover from Ising-like critical behavior to classical critical behavior in two-dimensional systems with a variable interaction range. Since this crossover spans several decades in the reduced temperature as well as in the finite-size crossover variable, it has up to now largely evaded a satisfactory numerical determination. Using a dedicated ...

Context * Crossover Cycle 1 -.564 (.242) -.564 (.275) -.938 (.451) -1.007 (.647) Abstract Context * Crossover Cycle 2 -.385 (.232) -.385 (.395) -.620 (.355) -.687 (.588)Context * Crossover Cycle 2 -.385 (.232) -.385 (.395) -.620 (.355) -.687 (.588) Abstract Context * Crossover Cycle 3 .152 (.308) .152 (.367) .207 (.463) .068 (.639)Context * Crossover Cycle 3 .152 (.308) .152 (.367) .207 (.463) ...

In a previous editorial (Westman, 2011), I focused on the crossover of stress and strain between partners and among team members. The current editorial focuses on the crossover of positive states and experiences between partners. Crossover was defined by Bolger, DeLongis, Kessler, and Wethington (1989) as the interpersonal process that occurs when job stress or psychological strain experienced ...

Meiosis is a specialized form of cell division involving one round of chromosome replication followed by two rounds of segregation, thereby producing daughter cells with half the genomic equivalent of the progenitor. In most organisms, doublestrand breaks (DSBs) are introduced into the genome following premeiotic S-phase. These breaks are repaired almost exclusively from the homologous chromoso...

The genetic algorithm (GA) is an optimization and search technique based on the principles of genetics and natural selection. A GA allows a population composed of many individuals to evolve under specified selection rules to a state that maximizes the “fitness” function. In that process, crossover operator plays an important role. To comprehend the GAs as a whole, it is necessary to understand ...