Package org.moeaframework.problem.LSMOP
package org.moeaframework.problem.LSMOP
Package for the scalable LSMOP test problem suite.
These codes are based on the Matlab source code provided by the authors. Additionally, we use the Matlab source to generate the test results:
Population = LSMOP('init', 'LSMOP1', 2, 10) [ps,D] = size(Population) LSMOP('fitness', 'LSMOP1', 2, 0.5 * ones(1,D)) % Evaluate solution (0.5, 0.5, ..., 0.5)and the Pareto Fronts:
PF = LSMOP('PF', 'LSMOP1', 2, 100) writematrix(PF,'LSMOP1.2D.pf','Delimiter',' ','FileType','text')References:
 Ran Cheng, Yaochu Jin, Markus Olhofer and Bernhard Sendhoff. "Test problems for largescale multiobjective and manyobjective optimization." IEEE Transactions on Cybernetics, 7(12): 41084121, 2017.
 Supplementary Materials available at http://www.softcomputing.de/jinpub_year.html

ClassDescriptionCorrelation matrices used by the LSMOP test problem suite.Linkage functions used by the LSMOP test problem suite.Abstract class for defining LSMOP test problems.The unimodal, fullyseparable LSMOP1 problem.The mixedmodality, partiallyseparable LSMOP2 problem.The multimodal, mixedseparability LSMOP3 problem.The mixedmodality, mixedseparability LSMOP4 problem.The unimodal, fullyseparable LSMOP5 problem.The mixedmodality, partiallyseparable LSMOP6 problem.The multimodal, mixedseparability LSMOP7 problem.The mixedmodality, mixedseparability LSMOP8 problem.The mixedmodality, fullyseparable LSMOP9 problem.Problem provider for the LSMOP test problems.Functions specifying the Pareto Front geometry for the LSMOP test problem suite.Shape functions used by the LSMOP test problem suite.