Multi-objective Optimization Strategies

Fredrick Madaraka Mwema, Esther Titilayo Akinlabi

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


In this chapter, multi-objective optimization as a strategy for quality production of parts through fused deposition modelling is presented. Various techniques used in undertaking the multi-objective optimization process are described based on case studies from the literature and the authors’ data. The general algorithms for multi-objective optimization of the FDM process are described. The most significant objectives of the various optimization cases are identified and described in relation to the quality of the fused deposition modelling of parts. The main objectives for optimizing fused deposition process are (i) to increase the rate of production, (ii) to reduce material wastage and utilize as minimum material as possible, (iii) save on the cost of power consumption during printing and (iv) achieve the highest quality of FDM parts.

Original languageEnglish
Title of host publicationSpringerBriefs in Applied Sciences and Technology
Number of pages17
Publication statusPublished - 2020

Publication series

NameSpringerBriefs in Applied Sciences and Technology
ISSN (Print)2191-530X
ISSN (Electronic)2191-5318


  • 3D printing
  • Fused deposition modelling
  • Genetic algorithms
  • Grey relational degree
  • Multi-objective optimization
  • Pareto
  • Printing parameters

ASJC Scopus subject areas

  • Biotechnology
  • General Chemical Engineering
  • General Mathematics
  • General Materials Science
  • Energy Engineering and Power Technology
  • General Engineering


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