221
Views
3
CrossRef citations to date
0
Altmetric
Research Article

A user-guided innovization-based evolutionary algorithm framework for practical multi-objective optimization problems

, ORCID Icon, ORCID Icon &
Pages 2084-2096 | Received 26 Feb 2022, Accepted 30 May 2022, Published online: 24 Nov 2022

References

  • Bandaru, Sunith, and Kalyanmoy Deb. 2013. “Higher and Lower-Level Knowledge Discovery From Pareto-Optimal Sets.” Journal of Global Optimization 57: 281–298.
  • Coello Coello, Carlos Artemio, and Ma Guadalupe Castillo Tapia. 2021. “Cultural Algorithms for Optimization.” In Handbook of AI-Based Metaheuristics, 219–238. Boca Raton, FL: CRC Press.
  • Deb, K., and C. Myburgh. 2017. “A Population-Based Fast Algorithm for A Billion-Dimensional Resource Allocation Problem with Integer Variables.” European Journal of Operational Research 261 (2): 460–474.
  • Deb, Kalyanmoy, Amrit Pratap, Sameer Agarwal, and T. Meyarivan. 2002. “A Fast and Elitist Multiobjective Genetic Algorithm: NSGA-II.” IEEE Transactions on Evolutionary Computation 6 (2): 182–197.
  • Galanti, Geri Ann. 2000. “An Introduction to Cultural Differences.” The Western Journal of Medicine 172 (5): 335–336. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1070887/?report=classic.
  • Gandomi, Amir H., Kalyanmoy Deb, Ronald C. Averill, Shahryar Rahnamayan, and Mohammad Nabi Omidvar. 2019. “Using Semi-Independent Variables to Enhance Optimization Search.” Expert Systems with Applications 120: 279–297.
  • Gaur, Abhinav, and Kalyanmoy Deb. 2016. “Adaptive Use of InnovizationPrinciples for a Faster Convergence of Evolutionary Multi-Objective Optimization Algorithms.” In Proceedings ofthe 2016 Genetic and Evolutionary Computation Conference (GECCO 2016 Companion), 75–76. New York: Association for Computing Machinery.
  • Ghosh, Abhiroop, Kalyanmoy Deb, Ronald Averill, and Erik Goodman. 2021. “Combining User Knowledge and Online Innovization for Faster Solution to Multi-Objective Design Optimization Problems.” In Evolutionary Multi-Criterion Optimization, 102–114. Cham, Switzerland: Springer InternationalPublishing.
  • Ghosh, Abhiroop, Erik Goodman, Kalyanmoy Deb, Ronald Averill, and Alejandro Diaz. 2020. “A Large-Scale Bi-Objective Optimization of Solid Rocket Motors Using Innovization.” In Proceedings of the 2020 IEEE Congress on Evolutionary Computation (CEC). 8pp. Piscataway, NJ: IEEE. doi:10.1109/CEC48606.2020.9185861.
  • Landa-Becerra, Ricardo, Luis V. Santana-Quintero, and Carlos A. Coello Coello. 2008. “Knowledge Incorporation in Multi-Objective Evolutionary Algorithms.” Studies in Computational Intelligence 98: 23–46. doi:10.1007/978-3-540-77467-9_2
  • Obayashi, Shigeru, and Daisuke Sasaki. 2003. Visualization and Data Mining of Pareto Solutions Using Self-Organizing Map. Lecture Notes in Computer Science Vol. 2632, 796–809.
  • Szollos, András, Miroslav Šmíd, and Jaroslav Hájek. 2009. “Aerodynamic Optimization Via Multi-Objective Micro-Genetic Algorithm with Range Adaptation, Knowledge-Based Reinitialization, Crowding and ϵ-Dominance.” Advances in Engineering Software 40 (6): 419–430.
  • Zitzler, Eckart, and Lothar Thiele. 1998. “Multiobjective Optimization Using Evolutionary Algorithms—a Comparative Case Study.” In Proceedings of the 5th International Conference on Parallel Problem Solving from Nature (PPSN V), Lecture Notes in Computer Science Vol. 1498, 292–301. Berlin: Springer.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.