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emoa (version 0.5-0)
Evolutionary Multiobjective Optimization Algorithms
Description
Collection of building blocks for the design and analysis of evolutionary multiobjective optimization algorithms.
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Install
install.packages('emoa')
Monthly Downloads
3,109
Version
0.5-0
License
GPL-2
Maintainer
Olaf Mersmann
Last Published
September 25th, 2012
Functions in emoa (0.5-0)
Search functions
dominated_hypervolume
Dominated Hypervolume calculation
nds_rank
Nondominated sorting ranks
normalize_points
Scale point cloud
emoa_null_logger
null logger
steady_state_emoa_control
Steady state EMOA parameters
inbounds
Clip value to a given range
coalesce
Return first non null argument.
sbx_control
Simulated binary crossover (SBX) control parameters
pm_control
Polynomial muation (PM) control parameters
is_dominated
Pareto dominance checks.
sbx_operator
Simulated binary crossover operator
crowding_distance
Crowding Distance
UF1
Functions from the CEC 2009 EMOA competition.
cec2007
CEC 2007 multiobjective optimization competition results
emoa_logger
generic logger factory
nds_hv_selection
Selection strategies
emoa_console_logger
console logger
hypervolume_indicator
Binary quality indicators
which_points_on_edge
Determine which points are on the edge of a Pareto-front approximation.
pm_operator
Polynomial mutation operator
emoa_control
Basic EMOA control parameters.
sympart
Functions from the CEC 2007 EMOA competition.
emoa-package
The EMOA package
nondominated_points
Nondominated points
unary_r2_indicator
Unary R2 indicator