Biochemical systems identification by a random drift particle swarm optimization approach
نویسندگان
چکیده
منابع مشابه
Random Drift Particle Swarm Optimization
The random drift particle swarm optimization (RDPSO) algorithm, inspired by the free electron model in metal conductors placed in an external electric field, is presented, systematically analyzed and empirically studied in this paper. The free electron model considers that electrons have both a thermal and a drift motion in a conductor that is placed in an external electric field. The motivatio...
متن کاملOptimizing question answering systems by Accelerated Particle Swarm Optimization (APSO)
One of the most important research areas in natural language processing is Question Answering Systems (QASs). Existing search engines, with Google at the top, have many remarkable capabilities. But there is a basic limitation (search engines do not have deduction capability), a capability which a QAS is expected to have. In this perspective, a search engine may be viewed as a semi-mechanized QA...
متن کاملParticle Swarm Optimization for Hydraulic Analysis of Water Distribution Systems
The analysis of flow in water-distribution networks with several pumps by the Content Model may be turned into a non-convex optimization uncertain problem with multiple solutions. Newton-based methods such as GGA are not able to capture a global optimum in these situations. On the other hand, evolutionary methods designed to use the population of individuals may find a global solution even for ...
متن کاملAn approach to Improve Particle Swarm Optimization Algorithm Using CUDA
The time consumption in solving computationally heavy problems has always been a concern for computer programmers. Due to simplicity of its implementation, the PSO (Particle Swarm Optimization) is a suitable meta-heuristic algorithm for solving computationally heavy problems. However, despite the simplicity, the algorithm is inefficient for solving real computationally heavy problems but the pr...
متن کاملParticle Swarm Optimization: A Physics-Based Approach
This work aims to provide new introduction to the particle swarm optimization methods using a formal analogy with physical systems. By postulating that the swarmmotion behaves similar to both classical and quantum particles,we establish a direct connection betweenwhat are usually assumed to be separate fields of study, optimization and physics.Within this framework, it becomes quite natural to ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: BMC Bioinformatics
سال: 2014
ISSN: 1471-2105
DOI: 10.1186/1471-2105-15-s6-s1