In this talk, we will consider the effect of the optimized crossover within the framework of Genetic Algorithms (GAs) and look at some cases where this procedure is performed efficiently. The optimized crossover operator finds the best possible offspring (with respect to the solutions encoding) in a crossover, given two solutions of the parents. The well-known optimized crossover operator for t...

| Crossover plays an important role in GA-based search. There have been many empirical comparisons of diierent crossover operators in the literature. However, analytical results are limited. No theory has explained the behaviours of diierent crossover operators satisfactorily. This paper analyses crossover from quite a diierent point of view from the classical schema theorem. It explains the be...

In fission yeast and other eukaryotes, Rec12 (Spo11) is thought to catalyze the formation of dsDNA breaks (DSBs) that initiate homologous recombination in meiosis. Rec12 is orthologous to the catalytic subunit of topoisomerase VI (Top6A). Guided by the crystal structure of Top6A, we engineered the rec12 locus to encode Rec12 proteins each with a single amino acid substitution in a conserved res...

The quadratic assignment problem aims to find an optimal assignment of a set of facilities to a set of locations that minimizes an objective function depending on the flow between facilities and the distance between locations. In this paper we investigate a Genetic Algorithm (GA) using new crossover operators to guide the search towards unexplored regions of the search space. First we define a ...

Genetic algorithms (GAs) represent a method that mimics the process of natural evolution in effort to find good solutions. In that process, crossover operator plays an important role. To comprehend the genetic algorithms as a whole, it is necessary to understand the role of a crossover operator. Today, there are a number of different crossover operators that can be used in binary-coded GAs. How...

In many industries, major projects are performed in groups. Keeping this in mind, many academic courses are fitted with syllabus that boosts the students’ group learning and group working skills. Unfortunately, optimal group formation among students is a challenging task. Genetic algorithm can be applied to solve this problem which is evident from various literatures. Genetic algorithms are pur...

Crossovers between meiotic homologs are crucial for their proper segregation, and crossover number and position are carefully controlled. Crossover homeostasis in budding yeast maintains crossovers at the expense of noncrossovers when double-strand DNA break (DSB) frequency is reduced. The mechanism of maintaining constant crossover levels in other species has been unknown. Here we investigate ...