Non-Convex Multi-Objective Optimization
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Abstract
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Suggested Citation
DOI: 10.1007/978-3-319-61007-8
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Citations
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Cited by:
- Wenyu Wang & Taimoor Akhtar & Christine A. Shoemaker, 2022. "Integrating $$\varepsilon $$ ε -dominance and RBF surrogate optimization for solving computationally expensive many-objective optimization problems," Journal of Global Optimization, Springer, vol. 82(4), pages 965-992, April.
- Ignacio Araya & Damir Aliquintui & Franco Ardiles & Braulio Lobo, 2021. "Nonlinear biobjective optimization: improving the upper envelope using feasible line segments," Journal of Global Optimization, Springer, vol. 79(2), pages 503-520, February.
- Gabriele Eichfelder & Peter Kirst & Laura Meng & Oliver Stein, 2021. "A general branch-and-bound framework for continuous global multiobjective optimization," Journal of Global Optimization, Springer, vol. 80(1), pages 195-227, May.
- Alberto Lovison & Kaisa Miettinen, 2021. "On the Extension of the DIRECT Algorithm to Multiple Objectives," Journal of Global Optimization, Springer, vol. 79(2), pages 387-412, February.
- Gabriele Eichfelder & Kathrin Klamroth & Julia Niebling, 2021. "Nonconvex constrained optimization by a filtering branch and bound," Journal of Global Optimization, Springer, vol. 80(1), pages 31-61, May.
- Victor Gergel & Evgeny Kozinov, 2018. "Efficient multicriterial optimization based on intensive reuse of search information," Journal of Global Optimization, Springer, vol. 71(1), pages 73-90, May.
- Gabriele Eichfelder & Leo Warnow, 2022. "An approximation algorithm for multi-objective optimization problems using a box-coverage," Journal of Global Optimization, Springer, vol. 83(2), pages 329-357, June.
Book Chapters
The following chapters of this book are listed in IDEAS- Panos M. Pardalos & Antanas Žilinskas & Julius Žilinskas, 2017. "Definitions and Examples," Springer Optimization and Its Applications, in: Non-Convex Multi-Objective Optimization, chapter 0, pages 3-12, Springer.
- Panos M. Pardalos & Antanas Žilinskas & Julius Žilinskas, 2017. "Scalarization," Springer Optimization and Its Applications, in: Non-Convex Multi-Objective Optimization, chapter 0, pages 13-18, Springer.
- Panos M. Pardalos & Antanas Žilinskas & Julius Žilinskas, 2017. "Approximation and Complexity," Springer Optimization and Its Applications, in: Non-Convex Multi-Objective Optimization, chapter 0, pages 19-31, Springer.
- Panos M. Pardalos & Antanas Žilinskas & Julius Žilinskas, 2017. "A Brief Review of Non-convex Single-Objective Optimization," Springer Optimization and Its Applications, in: Non-Convex Multi-Objective Optimization, chapter 0, pages 33-42, Springer.
- Panos M. Pardalos & Antanas Žilinskas & Julius Žilinskas, 2017. "Multi-Objective Branch and Bound," Springer Optimization and Its Applications, in: Non-Convex Multi-Objective Optimization, chapter 0, pages 45-56, Springer.
- Panos M. Pardalos & Antanas Žilinskas & Julius Žilinskas, 2017. "Worst-Case Optimal Algorithms," Springer Optimization and Its Applications, in: Non-Convex Multi-Objective Optimization, chapter 0, pages 57-95, Springer.
- Panos M. Pardalos & Antanas Žilinskas & Julius Žilinskas, 2017. "Statistical Models Based Algorithms," Springer Optimization and Its Applications, in: Non-Convex Multi-Objective Optimization, chapter 0, pages 97-120, Springer.
- Panos M. Pardalos & Antanas Žilinskas & Julius Žilinskas, 2017. "Probabilistic Bounds in Multi-Objective Optimization," Springer Optimization and Its Applications, in: Non-Convex Multi-Objective Optimization, chapter 0, pages 121-135, Springer.
- Panos M. Pardalos & Antanas Žilinskas & Julius Žilinskas, 2017. "Visualization of a Set of Pareto Optimal Decisions," Springer Optimization and Its Applications, in: Non-Convex Multi-Objective Optimization, chapter 0, pages 139-145, Springer.
- Panos M. Pardalos & Antanas Žilinskas & Julius Žilinskas, 2017. "Multi-Objective Optimization Aided Visualization of Business Process Diagrams," Springer Optimization and Its Applications, in: Non-Convex Multi-Objective Optimization, chapter 0, pages 147-178, Springer.
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