An Evolutionary Algorithm for Multi and Many-Objective Optimization With Adaptive Mating and Environmental Selection

An Evolutionary Algorithm for Multi and Many-Objective Optimization With Adaptive Mating and Environmental Selection

Multi-objective evolutionary algorithms (MOEAs) have received immense recognition due to their effectiveness and efficiency in tackling multi-objective optimization problems (MOPs). Recently, numerous studies on MOEAs revealed that when handling many-objective optimization problems (MaOPs) that have...

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Bibliographic Details
Main Authors: Vikas Palakonda, Rammohan Mallipeddi
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Evolutionary computation
multi-objective optimization
many-objective optimization
Pareto-dominance
sum of normalized objectives
crowding distance
Online Access:https://ieeexplore.ieee.org/document/9084151/

Internet

https://ieeexplore.ieee.org/document/9084151/

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