pso.zip_swarm_zip

%get_psoOptions >> A function to get an "options structure" that is used to set various option of the PSO Algorithm. % % Usage : psoOptions = get_psoOptions % Arguments : None % Return Values : psoOptions--> A Matlab structure. It is further divided into the following structures. % | % |_Flags------> PSO FLAGS. (All flags can be set to zero to disable and a positive value to enable) % | |_ShowViz-----> Show visualization of the particles in motion. (suitable only if dimensions <= 3) % | |_Neighbor---> Use neighborhood acceleration (in addition to global acceleration) % | % |_Vars------> PSO VARIABLES % | |_SwarmSize--> Swarm Size. (Also known as population size) % | |_Iterations-> Maximum Iterations. (Used to terminate the algorithm. see also: Terminate element below) % | |_ErrGoal----> Error goal. (Also used to terminate the algorithm. see also: Terminate element below) % | |_Dim--------> Dimensions of the problem. This determines the particle size. % | % |_SParams---> STRATERGY PARAMETERS % | |_c1---------> Cognitive Acceleration % | |_c2---------> Social Acceleration % | |_c3---------> Neighborhood Acceleration % | |_w_start----> Value of velocity Weight at the begining % | |_w_end------> Value of velocity Weight at the end of the pso iterations % | |_w_varyfor--> The fraction of maximum iterations, for which w is linearly varied % | |_Vmax-------> Maximum velocity step % | |_Nhood------> Neighborhood size (nhood=1 ==> 2 neighbors, one on each side) % | % |_Obj-------> OBJECTIVE FUNCTION OPTIONS % | |_f2eval-----> Function/System to optimize (Type Fuzzy if u want to tune an FIS) % | |_GM---------> Value of Global Minima (Required if Terminate.Err is set. i.e error goal is (one of) the termination criteria). % | |_lb---------> Lower bounds of Initialization (You may use Asymmetrical Initialization. These bounds don't limit the search space.) % | |_ub---------> Upper bounds of Initialization (Rather, they are used to Initialize the particles. See: An Empirical Study of PSO (Ebenhart and Shi) % | % |_Terminate-> TERMINATION OPTIONS (Multiple options are allowed) % | |_Iters------> Use Vars.MaxIt as a termination criterion. 1=Yes, 0=No % | |_Err--------> Use Vars.ErrGoal as a termination criterion. 1=Yes, 0=No % | % |_Disp------> TEXT MODE DISPLAY OPTIONS % | |_Interval---> Notify about the progress after these many iterations. 0=Don't Notify % | |_Header-----> Display the PSO Options header. 0 = Hide, 1 = Show % | |_Progress---> Display the progress of the Algorithm. 0 = Hide, 1 = Show % | |_Footer-----> Display Footer (contains experimental results). 0 = Hide, 1 = Show % | % |_Save------> OPTIONS FOR SAVING RESULTS IN A TEXT FILE % | |_File-------------> Base name of the Output Text File. (see options below for automation options) % | |_IncludeFnName----> Prefix the name of the name of the Objective function to the file name e.g. DeJong_Results. 1=Yes, 0=No % | |_IncludeDim-------> Suffix the number of dimensions. DeJong_Results_10d. 1=Yes, 0=No % | |_IncludeSwarmSize-> Suffix the size of swarm. DeJong_Results_10d20p. 1=Yes, 0=No % | |_Interval---------> Save after this number of iterations. 0=Don't save the progress report. % | |_Header-----------> Save the header information (also see: Disp) % | |_Footer-----------> Save the Footer information (also see: Disp) % | % |_Fuzzy-----> FUZZY OPTIONS % |_FIS-------------> An FIS file that contains the system to be optimize. (note: The actual file should have a .fis extension, although u may or may not include it here) % |_DataFile--------> An valid Excel file containing Training Data. The FIS will be tuned to match this data. % |_InitFunc--------> A function to initialize the Swarm using the FIS. (String or Function handle) % |_ValidateFunc----> A function to Validate the Swarm each time particles are moved. This is required to change the co-ordinates of the particles which have bad value of membership function parameters. % |_ErrorFunc-------> A function to evaluate the fitness of the fuzzy system. (note: Fitness is expressed in terms of mean square error. So, more fit functions would return a lower value of error) % |_TuneInputs------> Tune the input membership functions % |_TuneOutputs-----> Tune the output membership functions % % History : Author : JAG (Jagatpreet Singh) % Created on : 06252003 (Wednesday. 25th June, 2003) % Comments : Enjoy! function psoOptions = get_psoOptions() psoOptions = struct( ... ... %Option FLAGS 'Flags', struct(... 'ShowViz', 0, ... %Show visualization of the particles 'Neighbor', 0), ... %Use neighborhood acceleration (in addition to global acceleration) ... %Variables of the PSO 'Vars', struct(... 'SwarmSize', 20, ... %Swarm Size 'Iterations', 1000,... %Maximum Iterations 'ErrGoal', 1e-10, ... %Error goal 'Dim', 10 ), ... %Dimensions of the problem ... %Stratergy Parameters 'SParams', struct(... 'c1', 2, ... %Cognitive Acceleration 'c2', 2, ... %Social Acceleration 'c3', 1, ... %Neighborhood Acceleration 'w_start', 0.95, ... %Value of velocity Weight at the begining 'w_end', 0.4, ... %Value of velocity Weight at the end of the pso iterations 'w_varyfor',0.7,... %The fraction of maximum iterations, for which w is linearly varied 'Vmax', 100,... %Maximum velocity step 'Chi', 1, ... %Constriction factor 'Nhood', 1 ), ... %Neighborhood size (nhood=1 ==> 2 neighbors, one on each side) ... %Objective Function Options 'Obj', struct(... 'f2eval', 'DeJong', ...%Function/System to optimize 'GM', 0, ... %Value of Global Minima (Required if Error goal is a termination criteria). 'lb', 100, ... %Lower bounds of Initialization 'ub', 200 ), ... %Upper bounds of Initialization ... %Termination Options 'Terminate', struct(... 'Iters', 1, ... %Use Vars.MaxIt for termination 'Err', 1), ... %Use Vars.ErrGoal for termintion ... %Display Options 'Disp', struct( ... 'Interval', 10, ... %Notify about the progress after these many iterations 'Header', 1, ... %Display the PSO Options header. 0 = hide, 1 = show 'Progress', 1, ... %Display the progress of the Algorithm. 0 = hide, 1 = show 'Footer', 1 ), ... %Display Footer (contains experimental results). 0 = hide, 1 = show