spea2_win.zip_SPEA2_mop

======================================================================== PISA (www.tik.ee.ethz.ch/pisa/) ======================================================================== Computer Engineering (TIK) ETH Zurich ======================================================================== SPEA2 - Strength Pareto Evolutionary Algorithm Implementation in C for the selector side. Documentation file: spea2_documentation.txt author: Marco Laumanns, laumanns@tik.ee.ethz.ch last change: $date$ ======================================================================== The Optimizer ============= SPEA2 in an elitist multiobjective evolutionary algorithm which incorporates a fine-grained fitness assignment strategy, a density estimation technique, and an enhanced archive truncation method. SPEA2 is an improved version of the Strength Pareto EA and described in: @TechReport{ZLT2001a, author = "Eckart Zitzler and Marco Laumanns and Lothar Thiele", title = "{SPEA2}: Improving the {S}trength {P}areto {E}volutionary {A}lgorithm", institution = "Computer Engineering and Networks Laboratory (TIK), Swiss Federal Institute of Technology (ETH) Zurich", year = 2001, number = 103, address = "Gloriastrasse 35, CH-8092 Zurich, Switzerland", month = "May" } @InProceedings{ZLT2002a, author = {Eckart Zitzler and Marco Laumanns and Lothar Thiele}, title = {{SPEA2}: Improving the Strength Pareto Evolutionary Algorithm for Multiobjective Optimization}, booktitle = {Evolutionary Methods for Design, Optimisation and Control with Application to Industrial Problems. Proceedings of the EUROGEN2001 Conference, Athens, Greece, September 19-21, 2001}, pages = {95--100}, year = 2002, editor = {K.C. Giannakoglou and D.T. Tsahalis and J. Periaux and K.D. Papaliliou and T. Fogarty}, address = {Barcelona, Spain}, publisher = {International Center for Numerical Methos in Engineering (CIMNE)} } In the k-th nearest neighbor density estimator a fixed parameter k = 1 is chosen here for efficiency reasons. This is in contrast to the value used in the paper k = sqrt(M), where M is the population size. The truncation method is implemented efficiently which leads to an average time complexity of O(M^2), contrarily to the remark in the footnote 2 on page 8 of the TechReport ZLT2001a. This is achieved by a lazy evaluation of the k-th nearest neighbors. Normally, the individuals' k-th nearest neighbors are already different for very low k values, thus the more distant neighbors are only calculated when they are actually used and not in advance. Hence, an a priori computation, sorting and update of the nearest neighbor lists is avoided. The Parameters ============== SPEA2 uses the following values for the common parameters. These parameters are specified in 'PISA_cfg'. alpha (population size) mu (number of parent individuals) lambda (number of offspring individuals) dim (number of objectives) 'PISA_cfg' is a PISA_configuration file. SPEA2 takes two local parameter which is given in a parameter file. The name of this parameter file is passed to SPEA2 as command line argument. (See 'spea2_param.txt' for an example.) seed (seed for the random number generator) tournament (tournament size for mating selection) Source Files ============ The source code for LOTZ is divided into four files: 'spea2.h' is the header file. 'spea2.c' contains the main function and implements the control flow. 'spea2_io.c' implements the file i/o functions. 'spea2_functions.c' implements all other functions including the selection. Additionally a Makefile, a PISA_configuration file with common parameters and a PISA_parameter file with local parameters are contained in the tar file. Depending on whether you compile on Windows or on Unix (any OS having <unistd.h>) uncomment the according '#define' in the 'spea2.h' file. Usage ===== Start SPEA2 with the following arguments: spea2 paramfile filenamebase poll paramfile: specifies the name of the file containing the local parameters (e.g. spea2_param.txt) filenamebase: specifies the name (and optionally the directory) of the communication files. The filenames of the communication files and the configuration file are built by appending 'sta', 'var', 'sel','ini', 'arc' and 'cfg' to the filenamebase. This gives the following names for the 'PISA_' filenamebase: PISA_cfg - configuration file PISA_ini - initial population PISA_sel - individuals selected for variation (PISA_ PISA_var - variated individuals (offspring) PISA_arc - individuals in the archive Caution: the filenamebase must be consistent with the name of the configuration file and the filenamebase specified for the SPEA2 module. poll: gives the value for the polling time in seconds (e.g. 0.5). This polling time must be larger than 0.01 seconds. Limitations =========== None limitations are known so far. Stopping and Resetting ====================== The behaviour in state 5 and 9 is not determined by the interface but by each variator module specifically. SPEA2 behaves as follows: state 5 (= variator terminated): set state to 6 (terminate as well). state 9 (= variator resetted): set state to 10 (reset as well).