Optimizing semiconductor devices by self-organizing particle swarm

Details Optimizing semiconductor devices by self-organizing particle swarm Optimizing semiconductor devices by self-organizing particle swarm

2005-05-25

arxiv.org/abs/cs/0505067v1

Computer Science

Neural and Evolutionary Computing

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.

Affiliated with

Also associated with

No associations

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

Comments { 0 }

Profile ID: LFWR-SCP-O-641535