MOEADr: Component-Wise MOEA/D Implementation

Felipe Campelo; Claus Aranha

MOEADr: Component-Wise MOEA/D Implementation

School of Engineering Mathematics and Technology

Research output: Non-textual form › Software

Abstract

R package containing a component-based, modular implementation of the Multiobjective Evolutionary Algorithm with Decomposition (MOEA/D) framework.

The MOEA/D framework is seen as a combination of specific design decisions regarding several independent modules:

Decomposition strategy;
Aggregation function;
Objective scaling strategy;
Neighborhood assignment strategy;
Variation Stack;
Update strategy;
Constraint handling method;
Termination criteria.

Original language	English
Publication status	Published - 16 Mar 2017

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@misc{02061b4ae2c8470e94d9766493cef700,

title = "MOEADr: Component-Wise MOEA/D Implementation",

abstract = "R package containing a component-based, modular implementation of the Multiobjective Evolutionary Algorithm with Decomposition (MOEA/D) framework. The MOEA/D framework is seen as a combination of specific design decisions regarding several independent modules: Decomposition strategy; Aggregation function; Objective scaling strategy; Neighborhood assignment strategy; Variation Stack; Update strategy; Constraint handling method; Termination criteria.",

author = "Felipe Campelo and Claus Aranha",

year = "2017",

month = mar,

day = "16",

language = "English",

}

TY - ADVS

T1 - MOEADr: Component-Wise MOEA/D Implementation

AU - Campelo, Felipe

AU - Aranha, Claus

PY - 2017/3/16

Y1 - 2017/3/16

N2 - R package containing a component-based, modular implementation of the Multiobjective Evolutionary Algorithm with Decomposition (MOEA/D) framework. The MOEA/D framework is seen as a combination of specific design decisions regarding several independent modules: Decomposition strategy; Aggregation function; Objective scaling strategy; Neighborhood assignment strategy; Variation Stack; Update strategy; Constraint handling method; Termination criteria.

AB - R package containing a component-based, modular implementation of the Multiobjective Evolutionary Algorithm with Decomposition (MOEA/D) framework. The MOEA/D framework is seen as a combination of specific design decisions regarding several independent modules: Decomposition strategy; Aggregation function; Objective scaling strategy; Neighborhood assignment strategy; Variation Stack; Update strategy; Constraint handling method; Termination criteria.

UR - https://cran.r-project.org/package=MOEADr

M3 - Software

ER -

MOEADr: Component-Wise MOEA/D Implementation

Abstract

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