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!
Difficulties - canonical genetic algorithm:
Therefore the first big problem we face whether designing an "AI" agent to perform a GA-style search is how to represent the solutions. Whether the solutions are textual through nature, so then ASCII strings utilizing eight bits per letter means the size of individuals can get very large. Because of evolution may take thousands of generations to converge onto a solution. Conversely there will be much redundancy in the bit string representations also as: in generally many bit strings produced through the recombination process will not represent solutions at all, like in e.g., they may represent ASCII characters that shouldn't appear in the solution. Whether in the case of individuals that don't represent solutions and how do we measure these with the evaluation function? Further it doesn't necessarily follow like they are entirely unfit, means the tweaking of a single zero to a one might make them good solutions. However the situation is better where the solution space is nonstop or the solutions represent real valued numbers or integers. Hence the situation is worse whereas there are only a finite number of solutions.
But the second big problem we face is how to simplify the evaluation function because this is crucial to the success of the GA experiment. Hence the evaluation function should, whether possible as like:
whether populations have evolved to a certain stage so it is possible to the individuals will all score highly with respect to the evalation function hence all have equal chances of reproducing. In fact in this case, evolution will effectively have stopped plus it may be necessary to take some action to spread them out just to make the evaluation function more difficult dynamically, possibly.
The Gantt chart shows the several activities of each processor with respect to progress in time in idle-overhead -busy modes with respect to each processor. Kiviat diagram: Th
Control Dependence Segments or Instructions in a program can include control structures. So, dependency among statements is able to be in control structures also. However the
What is Priority interrupt. It is a system that establishes a priority over the several resources to determined which condition are to be serviced first when two or more reques
Q. Explain Call and Return Statements? CALL: CALL X Procedure Call to procedure/function named X CALL instruction causes the following to happen: 1. Decre
Define SR Flip Flop - SR latch with NOR Gate? The SR Flip flop neither is a circuit with two cross-coupled NOR gates or two cross-coupled NAND gates. SR
What are the differences between SIMULATION and SYNTHESIS Simulation synthesis Simulation is used to verify functionality of the circuit.. a) Functional Simulation:stud
Discuss in detail Table management Techniques? An Assembler uses the subsequent tables: OPTAB: Operation Code Table consists of mnemonic operation code and machine langua
Target abort -computer architecture: Usually, a target holds DEVSEL# asserted through the final data phase. However, if a target desserts DEVSEL# before disconnecting without
What are the different between Public Key Encryption and Secret Key Encryption? Differentiate between Public Key Encryption and Secret Key Encryption: A cryptographic sys
Q. How to export a dreamweaver document as xml file? Step 1: Choose File -> Open, Step 2: Select document which uses a template (and has editable regions) Step 3: Click O
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