IGD Indicator-Based Evolutionary Algorithm for Many-Objective Optimization Problems

Inverted generational distance (IGD) has been widely considered as a reliable performance indicator to concurrently quantify the convergence and diversity of multiobjective and many-objective evolutionary algorithms. In this paper, an IGD indicator-based evolutionary algorithm for solving many-objec...

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Vydáno v:	IEEE transactions on evolutionary computation Ročník 23; číslo 2; s. 173 - 187
Hlavní autoři:	Sun, Yanan, Yen, Gary G., Yi, Zhang
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.04.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithm design and analysis Approximation algorithms Business metrics Convergence Estimation Evolutionary algorithms Evolutionary computation Genetic algorithms Inverted generational distance (IGD) linear assignment problem (LAP) many-objective evolutionary optimization algorithm Multiple objective analysis nadir point Optimization Performance evaluation Performance measurement Sorting
ISSN:	1089-778X, 1941-0026
On-line přístup:	Získat plný text
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