Optimizing semiconductor devices by self-organizing particle swarm

Computer Science – Neural and Evolutionary Computing

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Congress on Evolutionary Computation, 2004. CEC2004. Volume: 2, On page(s): 2017- 2022 Vol.2

Scientific paper

A self-organizing particle swarm is presented. It works in dissipative state by employing the small inertia weight, according to experimental analysis on a simplified model, which with fast convergence. Then by recognizing and replacing inactive particles according to the process deviation information of device parameters, the fluctuation is introduced so as to driving the irreversible evolution process with better fitness. The testing on benchmark functions and an application example for device optimization with designed fitness function indicates it improves the performance effectively.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Optimizing semiconductor devices by self-organizing particle swarm does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Optimizing semiconductor devices by self-organizing particle swarm, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Optimizing semiconductor devices by self-organizing particle swarm will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-641535

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.