Parallel Genetic Algorithms have often been reported to yield better performance than Genetic Algorithms which use a single large panmictic population. In the case of the Island Model genetic algorithm, it has been informally argued that having multiple subpopulations helps to preserve genetic diversity, since each island can potentially follow a di erent search trajectory through the search sp...

This tutorial covers the canonical genetic algorithm as well as more experimental forms of genetic algorithms including parallel island models and parallel cellular genetic algorithms The tutorial also illustrates genetic search by hyperplane sampling The theoretical foundations of genetic algorithms are reviewed include the schema theorem as well as recently developed exact models of the canon...

This tutorial covers the canonical genetic algorithm as well as more experimental forms of genetic algorithms, including parallel island models and parallel cellular genetic algorithms. The tutorial also illustrates genetic search by hyperplane sampling. The theoretical foundations of genetic algorithms are reviewed, include the schema theorem as well as recently developed exact models of the c...

This paper describes a new model of distributed genetic algorithm, ”Dual Individual genetic algorithms: Dual DGA”. In this algorithm, the subpopulation size is two. The specialized genetic operators which keep the diversity of the solutions and contribute the high searching ability are performed in each subpopulation (island). The advantage of this model is that this algorithm has fewer paramet...

In this paper, effect of the islands number variation in restoration process is investigated and a graph based method for determination of optimum islands boundaries is presented. Also, the effect of number and location of black-start units on the restoration process is evaluated. In optimization process, objective function is minimizing Energy Not Supplied (ENS) and constraints are voltage mar...

This paper presents a parallel approach of the genetic algorithm (GA) over Graphical Processing Unit (GPU) to solve Traveling Salesman Problem (TSP). Since earlier studies did not focus on implementing island model in persistent way, this introduces an approach, named Lightweight Island Model (LIM), that aims implement concept threads algorithm. For that, we present implementation details conve...