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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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Version

Install

install.packages('emoa')

Monthly Downloads

2,750

Version

0.5-0

License

GPL-2

Maintainer

Olaf Mersmann

Last Published

September 25th, 2012

Functions in emoa (0.5-0)

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