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In the running of a genetic algorithm, the population is liable to be con ned in the local optimum, that is the metastable state, making an equilibrium. It is known that, after a l...
Algorithm animation has been applied to a huge variety of algorithms, and has been found to be of enormous benefit in assisting with their comprehension. However, the radical natu...
Shape modeling is a very important issue for many study, for example, object recognition for robot vision, virtual environment construction, and so on. In this paper, a new method...
Abstract. Nowadays genetic algorithms stand as a trend to solve NPcomplete and NP-hard problems. In this paper, we present a new hybrid metaheuristic which uses Parallel Genetic Al...
The paper presents the design of a hardware genetic algorithm which uses a pipeline of systolic arrays. Demostrated is the design methodology, where a simple genetic algorithm exp...
This paper describes the innovative use of a genetic algorithm to solve the grasp synthesis problem for multifingered robot hands. The goal of our algorithm is to select a `best&#...
From the user’s point of view, setting the parameters of a genetic algorithm (GA) is far from a trivial task. Moreover, the user is typically not interested in population sizes,...
This paper deals with the study of population diversity in Genetic Algorithms for Job Shop Scheduling Problems. A definition of population diversity at the phenotype level and a ...
This paper describes a new approximate approach for checking the correctness of the implementation of a protocol interface, comparing its lowlevel implementation with its high-leve...
Fulvio Corno, Matteo Sonza Reorda, Giovanni Squill...