Component-Wise MOEA/D Implementation


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Documentation for package ‘MOEADr’ version 1.1.3

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box_constraints Box constraints routine
calcIGD Inverted Generational Distance
check_stop_criteria Stop criteria for MOEA/D
constraint_none NULL constraint handling method for MOEA/D
constraint_penalty "Penalty" constraint handling method for MOEA/D
constraint_vbr "Violation-based Ranking" constraint handling method for MOEA/D
create_population Create population
decomposition_msld Problem Decomposition using Multi-layered Simplex-lattice Design
decomposition_sld Problem Decomposition using Simplex-lattice Design
decomposition_uniform Problem Decomposition using Uniform Design
define_neighborhood Calculate neighborhood relations
evaluate_population Evaluate population
example_problem Example problem
find_nondominated_points Find non-dominated points
generate_weights Calculate weight vectors
get_constraint_methods Print available constraint methods
get_decomposition_methods Print available decomposition methods
get_localsearch_methods Print available local search methods
get_scalarization_methods Print available scalarization methods
get_stop_criteria Print available stop criteria
get_update_methods Print available update methods
get_variation_operators Print available variation operators
ls_dvls Differential vector-based local search
ls_tpqa Three-point quadratic approximation local search
make_vectorized_smoof Make vectorized smoof function
moead MOEA/D
order_neighborhood Order Neighborhood for MOEA/D
perform_variation Run variation operators
plot.moead plot.moead
preset_moead preset_moead
print.moead print.moead
print_progress Print progress of MOEA/D
scalarization_awt Adjusted Weighted Tchebycheff Scalarization
scalarization_ipbi Inverted Penalty-based Boundary Intersection Scalarization
scalarization_pbi Penalty-based Boundary Intersection Scalarization
scalarization_ws Weighted Sum Scalarization
scalarization_wt Weighted Tchebycheff Scalarization
scalarize_values Scalarize values for MOEA/D
scale_objectives Scaling of the objective function values
stop_maxeval Stop criterion: maximum number of evaluations
stop_maxiter Stop criterion: maximum number of iterations
stop_maxtime Stop criterion: maximum runtime
summary.moead summary.moead
unitary_constraints Unitary constraints routine
update_population Update population
updt_best Best Neighborhood Replacement Update for MOEA/D
updt_restricted Restricted Neighborhood Replacement Update for MOEA/D
updt_standard Standard Neighborhood Replacement Update for MOEA/D
variation_binrec Binomial Recombination
variation_diffmut Differential Mutation
variation_localsearch Local search Operators
variation_none Identity operator
variation_polymut Polynomial mutation
variation_sbx Simulated binary crossover
variation_truncate Truncate