Already have an account? Get multiple benefits of using own account!
Login in your account..!
Remember me
Don't have an account? Create your account in less than a minutes,
Forgot password? how can I recover my password now!
Enter right registered email to receive password!
Example Application:
There are many fantastic applications of genetic algorithms. Conceivably my favorite is their usage in evaluating Jazz melodies done as part of a PhD project in Edinburgh.
However the one we look at here is chosen because it demonstrates how a fairly lightweight effort using GAs can often be highly effective. Hence in their paper "The Application of Artificial Intelligence to Transportation System Design", Ricardo Hoar and Joanne Penner explain their undergraduate project that involved representing vehicles on a road system as autonomous agents, and utilizing. In fact GA approaches to evolve solutions to the timing of traffic lights to increase there the traffic flow in the system. Therefore the optimum settings for where lights come on and go off is known only for very simple situations, so an AI-style search can be used to try and find good solutions. Hoar and Penner chose to do this in an evolutionary fashion. They don't give details of the representation scheme they used, but traffic light times are real-valued numbers, so they could have used a bit-string representation.
Therefore the evaluation function they utilize involved the total waiting time and total driving time for each car in the system as follows like:
Hence the results they produced were good as worthy of writing a paper. So the two graphs below describe the decrease in overall waiting time for a simple road and for a more complicated road as albeit not amazingly complicated.
We see that in both cases, the waiting time has roughly halved, which is a good result. In the first case, for the simple road system, the GA evolved a solution verysimilar to the ones worked out to be optimal by humans. We see that GAs can be used to find good near-optimal solutions to problems where a more cognitive approach might have failed as i.e., humans still can't work out how best to tune traffic light times, but a computer can evolve a good solution.
Explain how the Web enables effective collaborative computing. Discuss the similarities and differences among WebEx, Microsoft NetMeeting and Novell Groupwise software (in less tha
Floating point Arithmetic pipelines Floating point calculations are the best candidates for pipelining. Take the illustration of addition of two floating point numbers. Subsequ
Like SPMD, MPMD is actually a "high level" programming model that can be built upon any combination of the previously mentioned parallel programming models. MPMD applications ty
Q. Define the Bandwidth of a monitor? Bandwidth is the amount of signal the monitor can handle and it is rated in MHz .This is the most usually quoted specification of a monito
Subroutine are the part of implementing processes (like any process can call a subroutine for achieve task), whereas the interrupt subroutine never be the part. Interrupt subroutin
Difference between data warehousing and data mining The difference between data warehousing and data mining is that data warehousing shows to the data storage while data mining
Define the terms- Action Semantics and ArgoUML Action Semantics : Action semantics is a group of firms that have responded to the OMG's RFP to define the action semantics fo
Q. Convert the following from octal to binary, decimal, hexadecimal and BCD. a) 7.7 b) 4037 c) 23.34
Draw the schematic circuit of an Analog to Digital converter using Voltage-to Frequency conversion and explain its principle of operation. Draw its relevant Waveforms. Ans:
Q. Explain about parallel programming environment? The parallel programming environment comprises of a debugger, an editor, performance evaluator, programme visualizer for incr
Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!
whatsapp: +91-977-207-8620
Phone: +91-977-207-8620
Email: [email protected]
All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd