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A multistage graph is center problem of computer science, many coordination and consistency problems can be convert into multistage graph problem. We obtained the fitness function by coding the vertex of multistage graph, and designed the genetic algorithm for solving multistage graph problem. Experiment results show that this algorithm is very effective and feasible.
The Harmony Search (HS) method is an emerging meta-heuristic optimization algorithm. However, it is generally not so efficient in dealing with multi-modal optimization problems, in which instead of only a single optimum, multiple optima need to be found. In our paper, a novel HS method based on the niching technique (deterministic crowding), n-HS, is proposed and studied to overcome this shortcoming...
The Harmony Search (HS) method is an emerging meta-heuristic optimization algorithm, which has been widely employed to deal with various optimization problems during the past decade. However, like most of the evolutionary computation techniques, it sometimes suffers from a rather slow search speed, and even fails to find the global optima in an efficient way. In this paper, a new HS method with dual...
In order to get good SAR-GMTI (Synthetic Aperture Radar-Ground Moving Target Indicator) result, two pictures are demanded to be like at sub-pixel with registration method. This paper proposes a new image registration method, which combine genetic algorithm with traditional image registration algorithm, it uses Fourier algorithm in the pixel image registration, and combine genetic algorithm with amplitude...
For an application in public-resource computing environments, providing reliable scheduling based on resource reliability evaluation is becoming increasingly important. Most existing reputation models used for reliability evaluation ignore the time influence. And very few works use a robust genetic algorithm to optimize both time and reliability for a workflow application. Hence, in this paper, we...
To optimize makespan and reliability for workflow applications, most existing works use list heuristics rather than genetic algorithms (GAs) which can usually give better solutions. In addition, most existing GAs evolve a scheduling solution randomly, which may give invalid solutions or lead to slow convergence of the algorithm. In this paper, we define three heuristics for GAs to decide the priorities...
To overcome the shortcomings of classical genetic algorithm for solving flight optimization problem, improved genetic algorithm is proposed. Structure of genetic algorithm is improved first. The mutation operation is separated from the crossover operation. The second, realization of genetic operation is modified. In crossover operation, the principal of best to best is used in the individual match...
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