Global Optimization by Means of Distributed Evolution Strategies
نویسنده
چکیده
منابع مشابه
Enhancing distributed differential evolution with multicultural migration for global numerical optimization
Differential evolution (DE) is a prominent stochastic optimization technique for global optimization. After its original definition in 1995, DE frameworks have been widely researched by computer scientists and practitioners. It is acknowledged that structuring a population is an efficient way to enhance the algorithmic performance of the original, single population (panmictic) DE. However, only...
متن کاملEvolution Strategies: an Alternative Evolutionary Algorithm 1 Optimization and Genetic Algorithms
In this paper, evolution strategies (ESs) | a class of evolutionary algorithms using normally distributed mutations, recombination, deterministic selection of the > 1 best oospring individuals, and the principle of self-adaptation for the collective on-line learning of strategy parameters | are described by demonstrating their diierences to genetic algorithms. By comparison of the algorithms, i...
متن کاملEvolution Strategy for the C-Means Algorithm: Application to multimodal image segmentation
Evolutions Strategies (ES) are a class of Evolutionary Computation methods for continuous parameter optimization problems founded on the model of organic evolution. In this paper we present a novel clustering algorithm based on the application of an ES to the search for the global minimum of the C-Means (CM) objective functional. The new algorithm is then applied to the clustering step of an in...
متن کاملHealth Tourism Development Strategies in Ardabil
Introduction: Health tourism industry is growing in border provinces of the country, especially in the areas where tourists feel more comfortable as a result of distance from stressful urban life. This research was done to promote Health Tourism Industry in Ardabil. Methods: This is an analytic study. The data were gathered by means of library technique f...
متن کاملA Parallel Evolution Strategy for an Earth Imaging Problem in Geophysics
In this paper we propose a new way to compute a warm starting point for a challenging global optimization problem related to Earth imaging in geophysics. The warm start consists of a velocity model that approximately solves a full-waveform inverse problem at low frequency. Our motivation arises from the availability of massively parallel computing platforms and the natural parallelization of ev...
متن کامل