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A novel robust multi-objective evolutionary optimization algorithm based on surviving rate

Complex & Intelligent Systems
Multi-objective evolutionary optimization is widely utilized in industrial design. Despite the success of multi-objective evolutionary optimization algorithms in addressing complex optimization problems, research focusing on input disturbances remains ...
Wenxiang Jiang, Kai Gao, Shuwei Zhu, Lihong Xu   +3 more
doaj   +1 more source

Nonlinear distributionally robust optimization

Mathematical Programming
This article focuses on a class of distributionally robust optimization (DRO) problems where, unlike the growing body of the literature, the objective function is potentially nonlinear in the distribution. Existing methods to optimize nonlinear functions in probability space use the Frechet derivatives, which present theoretical and computational ...
Mohammed Rayyan Sheriff, Peyman Mohajerin Esfahani   +1 more
openaire   +3 more sources

A Multiobjective Route Robust Optimization Model and Algorithm for Hazmat Transportation

Discrete Dynamics in Nature and Society, 2018
Aiming at route optimization problem of hazardous materials transportation in uncertain environment, this paper presents a multiobjective robust optimization model by taking robust control parameters into consideration.
Changxi Ma, Wei Hao, Ruichun He, Bahman Moghimi   +3 more
doaj   +1 more source

Distributionally Robust Optimization with Polynomial Robust Constraints

Journal of Global Optimization
25 ...
Jiawang Nie, Suhan Zhong
openaire   +3 more sources

Portfolio optimization with pw-robustness

EURO Journal on Computational Optimization, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Virginie Gabrel, Cécile Murat, Aurélie Thiele   +2 more
openaire   +2 more sources

Deterministic and Robust Optimization Approach for Single Artillery Unit Fire Scheduling Problem

Applied Sciences, 2017
In this study, deterministic and robust optimization models for single artillery unit fire scheduling are developed to minimize the total enemy threat to friendly forces by considering the enemy target threat level, enemy target destruction time, and ...
Yong Baek Choi, Suk Ho Jin, Kyung Sup Kim   +2 more
doaj   +1 more source

Robust Optimization of a MEMS Accelerometer Considering Temperature Variations

Sensors, 2015
A robust optimization approach for a MEMS accelerometer to minimize the effects of temperature variations is presented. The mathematical model of the accelerometer is built.
Guangjun Liu, Feng Yang, Xiaofan Bao, Tao Jiang   +3 more
doaj   +1 more source

Robustness-based portfolio optimization under epistemic uncertainty

Journal of Industrial Engineering International, 2018
In this paper, we propose formulations and algorithms for robust portfolio optimization under both aleatory uncertainty (i.e., natural variability) and epistemic uncertainty (i.e., imprecise probabilistic information) arising from interval data ...
Md. Asadujjaman, Kais Zaman
doaj   +1 more source

Recoverable robust optimization with commitment

Mathematical Programming
Abstract We propose a model for recoverable robust optimization with commitment . Given a combinatorial optimization problem and uncertainty about elements that may fail, we ask for a robust solution that, after the failing elements are revealed, can be augmented in a ...
Felix Hommelsheim, Nicole Megow, Komal Muluk, Britta Peis   +3 more
openaire   +2 more sources