Extracting Parallelism in Simulation Algorithms for PDP systems
| Autor: | Martínez del Amor, Miguel Ángel, Doncel Ramírez, Andrés, Orellana Martín, David, Pérez Hurtado de Mendoza, Ignacio |
|---|---|
| Přispěvatelé: | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial, Universidad de Sevilla. TIC193: Computación Natural, Ministerio de Economia, Industria y Competitividad (MINECO). España |
| Rok vydání: | 2020 |
| Předmět: | |
| Zdroj: | idUS. Depósito de Investigación de la Universidad de Sevilla instname idUS: Depósito de Investigación de la Universidad de Sevilla Universidad de Sevilla (US) |
| Popis: | Population Dynamics P systems is a modelling framework that have been used successfully for some important real ecosystems. This model is inherently probabilistic, and the scheme of rules is very exible, allowing even cooperation between membranes. Thus, its simulation has been a challenge in the past years, leading to several simulation algorithms. The latest one, which has been proved to be the most accurate so far, is DCBA. The main drawback of DCBA is its complexity, requiring a very large table to handle all competitions. In this paper, we discuss two strategies to decrease this table, allowing a more lightweight version of DCBA that can be used in parallel implementations. Ministerio de Economía, Industria y Competitividad TIN2017-89842-P (MABICAP) |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|