GA == Genetic Algorithm Pareto (wave) front == In game theory a Pareto move is one that gives one or more players a higher payoff without reducing the payoff to the others. A Pareto optimum is where all the players are at a point where none can increase their benefit without reducing that of another. This may (is probably) not a stable Nash equilibrium point...the Prisoner's Dilemma is a good example.
In TOS a list of apparently random (phone) numbers is par for the course...so probably a Nash. I am not much of an optimizer myself. MS Eric Decker wrote: > > What is a GA? > > my background is in computer architecture, network architecture, > embedded systems, applied information theory. So don't have a clue. > > On Sun, May 8, 2011 at 12:45 PM, Chris Brooks <[email protected] > <mailto:[email protected]>> wrote: > > Sure, it`s widely used in multiobjective optimisation be it GAs or > other evolutionary algorithms. I read the table of numbers as being > two columns for the 2 objectives, and 11 rows for best GA results so > far? Just trying to understand the optimisation problem, as my > background is in optimisation :-) > > Chris Brooks > > Sent from my ASUS Eee Pad > > Michael Schippling <[email protected] <mailto:[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] > <mailto:[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] > <mailto:[email protected]> > >>>> > https://www.millennium.berkeley.edu/cgi-bin/mailman/listinfo/tinyos-help > >>>> > >>> _______________________________________________ Tinyos-help mailing > >>> list [email protected] > <mailto:[email protected]> > >>> > https://www.millennium.berkeley.edu/cgi-bin/mailman/listinfo/tinyos-help > >>> > >> > >> _______________________________________________ Tinyos-help mailing > >> list [email protected] > <mailto:[email protected]> > >> > https://www.millennium.berkeley.edu/cgi-bin/mailman/listinfo/tinyos-help > > _______________________________________________ > Tinyos-help mailing list > [email protected] > <mailto:[email protected]> > https://www.millennium.berkeley.edu/cgi-bin/mailman/listinfo/tinyos-help > > > > > -- > Eric B. Decker > Senior (over 50 :-) Researcher > > _______________________________________________ Tinyos-help mailing list [email protected] https://www.millennium.berkeley.edu/cgi-bin/mailman/listinfo/tinyos-help
