Particle Swarm Optimization Algorithm and Its Application in Engineering Design Optim
#1

Particle Swarm Optimization Algorithm and Its Application in Engineering Design Optimization
[attachment=152]
The Particle Swarm Optimization (PSO) method was originally proposed by J.Kennedy as a simulation of social behavior, and it was insitially introduced as an optimization method in 1995 (Eberhart and Kennedy, 1995). The PSO is a robust stochastic evolutionary computation technique based on the movement and intelligence of swarms looking for the most fertile feeding location. PSO's foundation is based on the principle that each solution can be represented as a particle (agent) in a swarm. Each agent has a position and velocity vector and each position coordinate represents a parameter value. The underlying rules of cooperation and competition within social swarms give it good capability to make global optimization with the help of memory rather than to simply random search in a certain area. So it has a better chance to fly into a better solution quickly than some previous optimizers have in addition to its better performance. Like GA or any optimization techniques, PSO also requires a fitness evaluation function that takes the agent's position and assigns to it a fitness value. For multi-parameter optimization problems, global optimization algorithms such as a genetic algorithm have been attempted but the genetic operators, such as selection, crossover, and mutation are relatively complex. By comparison, simulated annealing is much simpler but it needs too many iterations, and the result strongly depends on the cooling schedule pre-established. However the particle swarm optimization (PSO) technique as proposed by Kennedy and Eberhart in 1995 as an alternative method to solve global optimization problems is simpler and easy to handle. The modified particle swarm optimization (PSO) algorithm is applied for engineering optimization problems with constraints. PSO is started with a group of feasible solutions and a feasibility function is used to check if the newly explored solutions satisfy all the constraints. All the particles keep only those feasible solutions in their memory
Reply
#2
sir,
i want to know more about particle swarm optimization technique and its applications where it can be easily implemented related to my field i.e. Electronics n Communication as i m doing project using this technique.
Reply
#3
jgg ddrtttk chmg hmhgjh hkhkjfdgd xfgdhhgyhy uktretwe gmjhkh mhfhnhg,h z cx x x xbdsfgs fsghrhyj.lpibcxadsg.
Reply
#4

To get full information or details of Particle Swarm Optimization Algorithm and Its Application please have a look on the pages

http://studentbank.in/report-particle-sw...sign-optim

http://studentbank.in/report-particle-sw...plications

if you again feel trouble on Particle Swarm Optimization Algorithm and Its Application please reply in that page and ask specific fields
Reply

Important Note..!

If you are not satisfied with above reply ,..Please

ASK HERE

So that we will collect data for you and will made reply to the request....OR try below "QUICK REPLY" box to add a reply to this page
Popular Searches: a comparison of particle swarm optimization and the genetic algorithm, ppt god particle, particle swarm optimization advantages, design of phelix algorithm, particle swarm optimization algorithm and its application, ballistic particle manufacturing wikipedia, particle detector briefbook bock,

[-]
Quick Reply
Message
Type your reply to this message here.

Image Verification
Please enter the text contained within the image into the text box below it. This process is used to prevent automated spam bots.
Image Verification
(case insensitive)

Possibly Related Threads...
Thread Author Replies Views Last Post
  APRIORI Algorithm project report helper 1 10,880 07-02-2019, 10:19 AM
Last Post:
  Vertical Handoff Decision Algorithm Providing Optimized Performance in Heterogeneous Wireless Networks computer science topics 2 30,158 07-10-2016, 09:02 AM
Last Post: ijasti
  Implementation of RSA Algorithm Using Client-Server full report seminar topics 6 26,600 10-05-2016, 12:21 PM
Last Post: dhanabhagya
  Dynamic Search Algorithm in Unstructured Peer-to-Peer Networks seminar surveyer 3 2,816 14-07-2015, 02:24 PM
Last Post: seminar report asees
  VLSI System Design seminar class 1 3,857 13-12-2012, 12:44 PM
Last Post: seminar details
  SLEEP SERVER & ITS ENTERPRISE APPLICATION seminar surveyer 5 2,888 03-12-2012, 11:25 PM
Last Post: Guest
  A survey of usage of Data Mining and Data Warehousing in Academic Institution and Lib seminar class 1 2,117 29-11-2012, 12:56 PM
Last Post: seminar details
  NANOTECHNOLOGY-ASSEMBLER DESIGN AND NANO-COMMUNICATION (Download Seminar Report) Computer Science Clay 13 13,020 28-11-2012, 12:59 PM
Last Post: seminar details
  Public Key Cryptography and the RSA algorithm seminar class 1 2,468 23-11-2012, 11:32 AM
Last Post: seminar details
  rsa algorithm full report computer science technology 3 8,196 23-11-2012, 11:32 AM
Last Post: seminar details

Forum Jump: