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Deriving Fitness Function for GA search technique

RM99-825 MYR

Closed
Posted over 8 years ago

RM99-825 MYR

Paid on delivery
This project aims to derive the fitness function for a group of 4 different case studies. Every case study covers a specific application. However, all case studies are composed of sequences of events and every event modifies the system’s state. For instance, add(x).add(x).front() is a sequence of events for circular queue; it generates 2 different states: (len=1; rear=0; front=0) and (len=2; rear=1; front=0). The last event (i.e. front) is only for printing the queue’s front, so it can be neglected as it does not modify the state. The events that modify the data states, called sensitive, and the ones that do not modify the states, called insensitive, are specified in the attached file. As well, the data to be used is attached. The fitness function has to feature minimizing the number of sequences in the population along with saving sequences with unique states. Hence, there are 2 types of redundancies: redundant sequence (i.e. duplicate sequences or sequence is subset from another) and redundant states in the sequence (i.e. such as adding to full queue or removing from empty queue). Besides, the fitness function has to be applicable for all case studies. It is worth to note that we are targeting more than one solution, not only the best one. So, any interested who is good in math and genetic algorithm please contact me.
Project ID: 8654708

About the project

4 proposals
Remote project
Active 8 yrs ago

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4 freelancers are bidding on average RM501 MYR for this job
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Hi I have done my doctorate in the area of evolutionary algorithm. I am ready to do this . I have very good profile on freelance.com. I have executed more than 20 projects on freelancer.com. I am looking forward to hear from you.
RM222 MYR in 3 days
4.6 (16 reviews)
4.8
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I'm a PhD student in Engineering with a Master's in Statistics. Expert in Matlab, Econometric and statistical modeling of pretty much everything you can think of. These include expertise on protocol development, research study designs, sample size calculations, data management, and data analysis using various statistical software’s (i.e. STATA, Eviews, R & SPSS), statistical interpretation and report writing also familair with programming language C,C++,C#,. Currently involved in official approval of internal econometric models that banks are using.
RM526 MYR in 9 days
4.7 (6 reviews)
4.3
4.3
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Hi, I'm an expert and experienced developer in Genetic Algorithm. I'll be developing the code in Python. Please get in touch for discussing further details. Thanks.
RM700 MYR in 3 days
0.0 (0 reviews)
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About the client

Flag of MALAYSIA
Kedah, Malaysia
5.0
1
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Member since Nov 18, 2014

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