Hybridization of Multi-Objective Deterministic Particle Swarm with Derivative-Free Local Searches

Hybridization of Multi-Objective Deterministic Particle Swarm with Derivative-Free Local Searches

The paper presents a multi-objective derivative-free and deterministic global/local hybrid algorithm for the efficient and effective solution of simulation-based design optimization (SBDO) problems. The objective is to show how the hybridization of two multi-objective derivative-free global and loca...

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Bibliographic Details
Main Authors: Riccardo Pellegrini, Andrea Serani, Giampaolo Liuzzi, Francesco Rinaldi, Stefano Lucidi, Matteo Diez
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Mathematics
Subjects:
hybrid algorithms
memetic algorithms
particle swarm
multi-objective deterministic optimization, derivative-free
global/local optimization
simulation-based design optimization
Online Access:https://www.mdpi.com/2227-7390/8/4/546

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https://www.mdpi.com/2227-7390/8/4/546

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