A Unified Evolutionary Optimization Procedure for Single, Multiple, and Many Objectives

Traditionally, evolutionary algorithms (EAs) have been systematically developed to solve mono-, multi-, and many-objective optimization problems, in this order. Despite some efforts in unifying different types of mono-objective evolutionary and non-EAs, researchers are not interested enough in unify...

Full description

Saved in:

Bibliographic Details
Published in:	IEEE transactions on evolutionary computation Vol. 20; no. 3; pp. 358 - 369
Main Authors:	Seada, Haitham, Deb, Kalyanmoy
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.06.2016 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithm design and analysis Algorithms Design engineering Design optimization Equivalence Evolutionary Evolutionary algorithms Heuristic algorithms mono-objective optimization NSGA-III Objectives Optimization Optimization algorithms Representations Sociology Software Software algorithms Statistics Unified algorithms mono-objective optimization multiobjective optimization non-dominated sorting genetic algorithm (NSGA)-III Many-objective optimization unified algorithms
ISSN:	1089-778X, 1941-0026
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!