Optimal Sensor Placement for Latticed Shell Structure Based on an Improved Particle Swarm Optimization Algorithm
نویسندگان
چکیده
منابع مشابه
An Improved Particle Swarm Optimization Algorithm based on Membrane Structure
Presented a new hybrid particle swarm algorithm based on P systems, through analyzing the working principle and improved strategy of the elementary particle swarm algorithm. Used the particles algorithm combined with the membrane to form a community, particles use wheel-type structure to communicate the current best particle within the community. The best particles, as Representative, compete f...
متن کاملAn Improved Particle Swarm Optimization Algorithm based on Adaptive Genetic Strategy for Global Numerical Optimal
Particle swarm optimization, which has attracted a great deal of attention as a global optimization method in recent years, has the drawback that continuous search based on the excellent dynamic characteristics cannot perform well with higher dimension of particles, especially in real world problems. On the contrary, the strong ability of selection, crossover, and mutation in genetic strategies...
متن کاملOptimal Design of Shell-and-Tube Heat Exchanger Based on Particle Swarm Optimization Technique
The paper studies optimization of shell-and-tube heat exchangers using the particle swarm optimization technique. A total cost function is formulated based on initial and annual operating costs of the heat exchangers. Six variables – shell inside diameter, tube diameter, baffle spacing, baffle cut, number of tube passes and tube layouts (triangular or square) – are considered as the design para...
متن کاملAn Improved Particle Swarm Optimization Algorithm for Protein Structure Prediction Based on Ab Model
An improved particle swarm optimization algorithm, which combines the idea of simulated annealing algorithm and opposition-based learning strategy, is presented for NP-hard protein structure prediction based on AB model. Flying grain is used to control the neighborhood structure of particle, so particle can search the global optimum in solution space more finely. An opposition-based learning is...
متن کاملAn Improved Probability Particle Swarm Optimization Algorithm
This paper deals with the problem of unconstrained optimization. An improved probability particle swarm optimization algorithm is proposed. Firstly, two normal distributions are used to describe the distributions of particle positions, respectively. One is the normal distribution with the global best position as mean value and the difference between the current fitness and the global best fitne...
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: Mathematical Problems in Engineering
سال: 2014
ISSN: 1024-123X,1563-5147
DOI: 10.1155/2014/743904