Hi, How about if on a 3-d environment would they be optimal?
How about if I wanted to do the below could you help? What i need is a sensor network simulation for the parameters below a) network deployment areas are 50×50 and100m×100m b) initial energy of each sensor node is 1 Joule c) sensor nodes are randomly deployed in the given area d) each tree is used for 10 rounds e) each experiment is conducted for 3 simulation scenarios and the average is used for documentation f)base station is located at the center of the sensor network g) MAC layer, 802.11, is used in simulation Also in the same network simulator i need a simulation for the parameters below of a genetic algorithm 5.2 GA Simulation Parameters a) population size and the number of generations are equal to the number nodes b) mutation rate is 0.006 c) crossover rate is 0.80 d) tournament selection probability is 0.90. If you can help i will greatly appreciate this and am willing to pay ASAP for any help to get this simulation done. Yes it was my iPhone playing up. Sent from my iPhone On 8 May 2011, at 20:26, Michael Schippling <[email protected]> wrote: > OK, this is for my own amusement only... > > What the heck are you guys talking about? > > By "pareto front" do you mean the, slowly, > improving set of values discovered by the GA? > I've only heard pareto optimum in game theory, > not GA's, but it seems to fit. > > If that list of numbers is meant to represent > X-Y locations for nodes, they plot out to be > along the two axes. That doesn't seem to be > very optimal for coverage of a 2-D area. > > I will be of no use in testing, but I believe > TOSSIM allows one to specify locations in its > setup files, so you should be able to plug them > in with appropriate scaling. > > And I guess the insertion of telephone # links > was a feature of someone's iPhone having a little > fun with it's users? > > MS > > Not sent from no iPone or nuthin like it > > > Chris Brooks wrote: >> So are those values lying on the pareto front found by the GA? I >> think we need more info to figure out what you are trying to >> accomplish! For a start, what were the design variables of your >> optimisation? >> Chris Brooks >> Sent from my ASUS Eee Pad >> Michael Schippling <[email protected]> wrote: >>> uh... what are those values of? secondarily, why do some of them >>> seem to show as telephone numbers? >>> MS >>> T O wrote: >>>> Hi, >>>> I have a Multi-objective Genetic Algorithm that i am optimising, >>>> the algorithm outputs the values below. The first objective is >>>> maximising the efficiency of the network by lowering energy >>>> depletion(minimising energy depletion) and the second is >>>> maximising the number of nodes to achieve full coverage. >>>> 0.943164 0.000163251 <tel:0.000163251> 0.000346453 >>>> <tel:0.000346453> 0.254052 0.583485 0.000419807 <tel:0.000419807> >>>> 0.289261 0.000633636 <tel:0.000633636> 0.896291 0.000314365 >>>> <tel:0.000314365> 0.100863 0.000900134 <tel:0.000900134> 0.000730138 >>>> <tel:0.000730138> 0.179723 0.0010259 0.0163291 0.0509728 0.00154449 >>>> 0.000590426 <tel:0.000590426> 0.248574 0.00175349 0.001788 >>>> So from the output values above I wanted to simulate a wireless >>>> sensor network. >>>> If you could help me with this it would be greatly appreciated. >>>> Regards >>>> Thomas >>>> ------------------------------------------------------------------------ >>>> _______________________________________________ Tinyos-help >>>> mailing list [email protected] >>>> https://www.millennium.berkeley.edu/cgi-bin/mailman/listinfo/tinyos-help >>> _______________________________________________ Tinyos-help mailing >>> list [email protected] >>> https://www.millennium.berkeley.edu/cgi-bin/mailman/listinfo/tinyos-help >> _______________________________________________ Tinyos-help mailing >> list [email protected] >> https://www.millennium.berkeley.edu/cgi-bin/mailman/listinfo/tinyos-help
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