Semi-Infinite Optimization with Implicit Functions by Stuber, Matthew D., Barton, Paul I

“…In this work, equality-constrained bilevel optimization problems, arising from engineering design, economics, and operations research problems, are reformulated as an equivalent semi-infinite program (SIP) with implicit functions embedded, which are defined by the original equality constraints that model the system. …”
Get full text

Network Inspection for Detecting Strategic Attacks by Dahan, Mathieu, Sela, Lina, Amin, Saurabh

“…In “Network Inspection for Detecting Strategic Attacks,” Dahan, Sela, and Amin study a strategic network inspection problem, formulated as a large-scale bilevel optimization problem, in which a utility seeks to determine an inspection strategy with minimum number of smart detectors that ensures a desirable expected detection performance under worst-case attacks. …”
Get full text

Last-Mile Shuttle Planning for Improving Bus Commuters’ Travel Time Reliability: A Case Study of Beijing by Weibin Kou, Jiayu Wang, Yanxi Liu, Chenxu Li

“…The approach aims to assign the routes that pick up the transit passengers located at the different stops by shuttle service. A bilevel optimization model is established: the upper model of route design considers the tradeoff between time cost and fare cost when some of the passengers take the shuttles, and the lower model assigns the demand of transit passengers. …”
Get full text

A sustainable road network design problem with land use transportation interaction over time by Szeto, W. Y., Jiang, Y., Wang, D. Z. W., Sumalee, A.

“…This paper proposes a multi-objective bilevel optimization model to consider all three dimensions in road network design. …”
Get full text
Get full text
Get full text

Evaluating and Increasing the Renewable Energy Share of Customers’ Electricity Consumption by Shuai Fan, Zhengshuo Li, Zuyi Li, Guangyu He

“…Optimal load reshaping strategies were derived from a bilevel optimization model, which was converted into a mathematical program with primal and dual constraints (MPPDC). …”
Get full text

Stochastic Bilevel Program for Optimal Coordinated Energy Trading of an EV Aggregator by Yelena Vardanyan, Henrik Madsen

“…This work proposes a stochastic bilevel optimization problem based on the Stackelberg game to create price incentives that generate optimal trading plans for an EV aggregator in day-ahead, intra-day and real-time markets. …”
Get full text

Time-Scale Economic Dispatch of Electricity-Heat Integrated System Based on Users’ Thermal Comfort by Xin-Rui Liu, Si-Luo Sun, Qiu-Ye Sun, Wei-Yang Zhong

“…Therefore, a minimum economic cost on the energy supply side and a minimum energy purchase cost on the demand side are considered as a bilevel optimization strategy for the operation of the system. …”
Get full text

A local flexibility market framework for exploiting DERs’ flexibility capabilities by a technical virtual power plant by Niloofar Pourghaderi, Mahmud Fotuhi‐Firuzabad, Moein Moeini‐Aghtaie, Milad Kabirifar, Payman Dehghanian

“…In the proposed framework, the TVPP clears the LFM by considering hierarchical transactions with the aggregator agents to find the market equilibrium in which the DERs’ flexibility capabilities are optimally exploited while all participating agents make profit by trading flexibility capabilities in the LFM. A bilevel optimization model with multiple lower levels is considered to address different agents’ preferences and transactions in the LFM. …”
Get full text

Electric Powertrain Topology Analysis and Design for Heavy-Duty Trucks by Frans J. R. Verbruggen, Emilia Silvas, Theo Hofman

“…For reasons of comparison, each concurrent powertrain topology is optimized using a bilevel optimization framework, incorporating both powertrain components and control design. …”
Get full text

A novel computerized adaptive testing framework with decoupled learning selector by Haiping Ma, Yi Zeng, Shangshang Yang, Chuan Qin, Xingyi Zhang, Limiao Zhang

“…There also exist learning-based question selectors that redefine the CAT problem as a bilevel optimization problem, where the parameter learning of the question selector and the student proficiency estimation model are coupled, which is not flexible enough. …”
Get full text

Public transport demand estimation by frequency adjustments by Victoria M. Orlando, Enrique G. Baquela, Neila Bhouri, Pablo A. Lotito

“…First, we propose a bilevel optimization problem that allows estimating the demand using historical data and the observed bus frequencies. …”
Get full text

A Stackelberg Security Game for Adversarial Outbreak Detection in the Internet of Things by Lili Chen, Zhen Wang, Fenghua Li, Yunchuan Guo, Kui Geng

“…This yields an extremely complex bilevel optimization problem. Our approach is to build a modified Column Generation framework for computing the optimal strategy effectively. …”
Get full text

Using Gene Essentiality and Synthetic Lethality Information to Correct Yeast and CHO Cell Genome-Scale Models by Ratul Chowdhury, Anupam Chowdhury, Costas D. Maranas

“…In this study, we performed a comprehensive ES and SL analysis of two important eukaryotic models (S. cerevisiae and CHO cells) using a bilevel optimization approach introduced earlier. Information gleaned from this study is used to propose specific model changes to remedy inconsistent with data model predictions. …”
Get full text

A Planning Framework for Robotic Insertion Tasks via Hydroelastic Contact Model by Lin Yang, Mohammad Zaidi Ariffin, Baichuan Lou, Chen Lv, Domenico Campolo

“…As such, this study proposes a motion planning framework with bilevel optimization to leverage relatively accurate force information with fast computation time. …”
Get full text

RARTS: An Efficient First-Order Relaxed Architecture Search Method by Fanghui Xue, Yingyong Qi, Jack Xin

“…Differentiable architecture search (DARTS) is an effective method for data-driven neural network design based on solving a bilevel optimization problem. Despite its success in many architecture search tasks, there are still some concerns about the accuracy of first-order DARTS and the efficiency of the second-order DARTS. …”
Get full text

Optimal Capacity Allocation of Energy Storage in Distribution Networks Considering Active/Reactive Coordination by Tao Xu, He Meng, Jie Zhu, Wei Wei, He Zhao, Han Yang, Zijin Li, Yuhan Wu

“…Taking the life cycle cost, arbitrage income and the benefit of reducing network losses into consideration, a bilevel optimization model of ESS capacity allocation is established, the coordination between active/reactive power of associate power conversion system is considered, and the large scale nonlinear programming problem is solved using genetic algorithm, simulated annealing and mixed integer second-order cone programming method. …”
Get full text

Blockchain Based Peer-To-Peer Energy Trading Between Wind Power Producer and Prosumers in Short-Term Market by Pengbo Du, Ziming Liu, Bonan Huang, Guoxiu Jing, Lihong Feng, Chao Yang

“…Furthermore, a reputation mechanism is designed to incentivize WPP’s generation forecasts to be accurate and prosumers to participate in the market. A bilevel optimization method is designed to increase the revenue of WPP and reduce the costs of prosumers. …”
Get full text

Genetic Algorithm and its advances in embracing memetics by Feng, Liang, Ong, Yew-Soon, Gupta, Abhishek

“…Moreover, the application of the second meme representation concept to the emerging field of evolutionary bilevel optimization is briefly discussed.…”
Get full text

A Deep Learning Based Multiobjective Optimization for the Planning of Resilience Oriented Microgrids in Active Distribution System by Youthanalack Vilaisarn, Yuri R. Rodrigues, Morad Mohamed Abdelmageed Abdelaziz, Jerome Cros

“…In this perspective, this work proposes a novel bilevel optimization framework for planning microgrids in active distribution systems under a resilience-oriented perspective. …”
Get full text

Optimization Based Modeling for the Food Supply Chain's Resilience to Outbreaks by Emma Moynihan, Charalampos Avraam, Sauleh Siddiqui, Roni Neff

“…To calibrate, we develop a bilevel optimization routine to generate synthetic, state-level data and provide estimates of otherwise unavailable data at the intersections of the food and transportation systems. …”
Get full text