Evolutionary Multiobjective Optimization Algorithms

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Documentation for package ‘emoa’ version 0.5-2

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emoa-package The EMOA package
cec2007 CEC 2007 multiobjective optimization competition results
coalesce Return first non null argument.
crowding_distance Crowding Distance
dominance_matrix Calculate the dominance matrix of a set of points
dominated_hypervolume Dominated Hypervolume calculation
emoa_console_logger console logger
emoa_control Basic EMOA control parameters.
emoa_logger generic logger factory
emoa_null_logger null logger
epsilon_indicator Binary quality indicators
hypervolume_contribution Dominated Hypervolume calculation
hypervolume_indicator Binary quality indicators
inbounds Clip value to a given range
is_dominated Pareto dominance checks.
is_maximally_dominated Pareto dominance checks.
nds_cd_selection Selection strategies
nds_hv_selection Selection strategies
nds_rank Nondominated sorting ranks
nondominated_ordering Nondominated sorting ranks
nondominated_points Nondominated points
normalize_points Scale point cloud
pm_control Polynomial muation (PM) control parameters
pm_operator Polynomial mutation operator
r1_indicator Binary quality indicators
r2_indicator Binary quality indicators
r3_indicator Binary quality indicators
sbx_control Simulated binary crossover (SBX) control parameters
sbx_operator Simulated binary crossover operator
steady_state_emoa_control Steady state EMOA parameters
sympart Functions from the CEC 2007 EMOA competition.
UF1 Functions from the CEC 2009 EMOA competition.
UF10 Functions from the CEC 2009 EMOA competition.
UF2 Functions from the CEC 2009 EMOA competition.
UF3 Functions from the CEC 2009 EMOA competition.
UF4 Functions from the CEC 2009 EMOA competition.
UF5 Functions from the CEC 2009 EMOA competition.
UF6 Functions from the CEC 2009 EMOA competition.
UF7 Functions from the CEC 2009 EMOA competition.
UF8 Functions from the CEC 2009 EMOA competition.
UF9 Functions from the CEC 2009 EMOA competition.
unary_r2_indicator Unary R2 indicator
which_points_on_edge Determine which points are on the edge of a Pareto-front approximation.