Article
Water Resources
Pham Duc Dai
Summary: Reducing water loss in water distribution systems is a challenging task for water utilities worldwide. This paper introduces a new optimization model and proposes a soft heuristic method to improve the quality of solutions and decrease computation time. The results show that the new optimization model can provide better and more reliable solutions for large scale water distribution systems.
APPLIED WATER SCIENCE
(2021)
Article
Engineering, Civil
Pham Duc Dai
Summary: Optimizing pressure management to reduce water leakage is a top priority for water utilities worldwide. This study proposes a real-time scheme based on a sequential convex program to compute approximate control profiles in response to changes in water demand patterns. The results demonstrate that applying this real-time optimization scheme achieves acceptable accuracy and reduces excessive pressure and intensity of pressure fluctuations.
WATER RESOURCES MANAGEMENT
(2023)
Article
Optics
Y. Yugra, C. Montenegro, F. De Zela
Summary: This study focuses on X-type mixed states and experimentally verifies alternative constraints for concurrence and polarization. The results are applicable to mixed two-qubit states as well as classical light.
Article
Automation & Control Systems
Ben Hermans, Goele Pipeleers, Panagiotis (Panos) Patrinos
Summary: This paper presents a method for solving optimization problems with set exclusion and implicit constraints by embedding exclusion constraints in a quadratic penalty framework and using a proximal algorithm. The method shows promising convergence results and practical application in mobile robot path planning. Additionally, a runtime comparison with state-of-the-art solvers highlights the efficiency of the proposed method.
Article
Operations Research & Management Science
Giandomenico Mastroeni, Letizia Pellegrini, Alberto Peretti
Summary: This paper discusses mathematical programming problems with complementarity constraints and proposes a decomposition method for the linear case, using parameterized problems to enforce complementarity. By utilizing duality results, unnecessary problems can be eliminated, and bounds for the optimal value of the objective function are provided.
OPTIMIZATION LETTERS
(2022)
Article
Engineering, Multidisciplinary
Li Chu, Bo Wang, Jie Zhang, Hong-Wei Zhang
Summary: This paper introduces a stochastic mathematical program model with second-order cone complementarity constraints, and proposes a smoothing sample average approximation method to solve the problem. Theoretical results show that the method is effective, and this is further validated through a numerical test.
JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION
(2021)
Article
Operations Research & Management Science
Sonja Steffensen
Summary: In this paper, a method for dealing with non-linear sparse optimization problems is introduced. The exact reformulations and their relaxations using the l(0) norm are presented, leading to standard non-linear but non-convex programming problems. The effectiveness of this method is verified through numerical tests.
Article
Energy & Fuels
Andrzej Karbowski
Summary: The paper presents the Generalized Benders Decomposition (GBD) method, which is now one of the basic approaches to solve large mixed-integer nonlinear optimization problems. It focuses on the basic formulation with convex objectives and constraints functions, and provides a unified formulation of the master problem with nonlinear and linear cuts. Additionally, it points out the most effective and easy-to-implement computational algorithms for the latter case.
Article
Automation & Control Systems
Mohammadreza Chamanbaz, Giuseppe Notarstefano, Francesco Sasso, Roland Bouffanais
Summary: This article introduces a randomized, distributed algorithm for solving mixed-integer convex programs in a network of processors. The algorithm is based on local computation and communication paradigm, and involves verification and optimization steps for cooperative problem-solving among nodes. Processors can stop the algorithm after a finite number of communication rounds to obtain a consensual candidate optimal solution.
IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS
(2021)
Article
Computer Science, Interdisciplinary Applications
Marianna De Santis, Sven de Vries, Martin Schmidt, Lukas Winkel
Summary: This paper presents a novel branch-and-bound method for solving mixed-integer linear complementarity problems (MILCPs). The method branches by adding penalty terms to the objective function, allowing for calculation of MILCP solutions or approximate solutions. The method is enhanced with MILCP-tailored valid inequalities, node selection strategies, branching rules, and warm-starting techniques.
INFORMS JOURNAL ON COMPUTING
(2022)
Article
Computer Science, Artificial Intelligence
Daniel Molina-Perez, Efren Mezura-Montes, Edgar Alfredo Portilla-Flores, Eduardo Vega-Alvarado, Barbara Calva-Yanez
Summary: This paper presents a new proposal based on two fundamental strategies to improve the performance of the differential evolution algorithm when solving MINLP problems. The proposal considers a set of good fitness-infeasible solutions to explore promising regions and introduces a composite trial vector generation method to enhance combinatorial exploration and convergence capacity.
SWARM AND EVOLUTIONARY COMPUTATION
(2024)
Article
Mathematics, Applied
Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet
Summary: We proposed a novel approach to address mixed-integer optimization problems by challenging conventional modeling practices and introducing regularization conditions to reformulate them as convex binary optimization problems. Our approach outperforms state-of-the-art methods in terms of speed and scale.
SIAM JOURNAL ON OPTIMIZATION
(2021)
Article
Mathematics, Applied
Christian Kirches, Jeffrey Larson, Sven Leyffer, Paul Manns
Summary: We propose an algorithm for solving bound-constrained mathematical programs with complementarity constraints. The algorithm iteratively solves a linear program with complementarity constraints to estimate the active set and enforces descent on the objective function to achieve global convergence to B-stationary points. We provide a convergence analysis and report preliminary numerical results on various test problems. Additionally, we investigate the effect of fixing the active constraints in a bound-constrained quadratic program to accelerate convergence.
SIAM JOURNAL ON OPTIMIZATION
(2022)
Article
Green & Sustainable Science & Technology
Borna Dasovic, Uros Klansek
Summary: This paper presents the integration of mixed-integer nonlinear program (MINLP) and project management tool (PMT) to support sustainable cost-optimal construction scheduling. An integrated structure was created, including a data transformation tool (DTT) to ensure data compatibility and automate the process of obtaining a cost-optimal schedule. The system provides functionalities such as updating MINLP, saving optimal schedules, engaging different optimization algorithms, tracking task completion, changing calendar settings, and generating visual reports.
Article
Computer Science, Artificial Intelligence
Benyuan Yang, Hesuan Hu
Summary: This paper focuses on constraint verification and violation resolution for Petri nets modeling of role-based access control policy. Three necessary and sufficient conditions are provided to check three different constraints, namely Separation of Duties, Binding of Duties, and Constraints of Cardinality. The proposed approach is particularly well suited for large-size PNs and provides a suitable violation resolution strategy to correctly enforce the given constraint.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2023)
Article
Transportation
Bai Li, Ning Jia, Pu Li, Xudong Ran, Yan Li
JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS
(2019)
Article
Chemistry, Analytical
Jan Schnee, Juergen Stegmaier, Tobias Lipowsky, Pu Li
Article
Multidisciplinary Sciences
Meichen Yuan, Junlin Qu, Weirong Hong, Pu Li
ROYAL SOCIETY OPEN SCIENCE
(2020)
Article
Energy & Fuels
Erfan Mohagheghi, Mansour Alramlawi, Aouss Gabash, Frede Blaabjerg, Pu Li
Article
Engineering, Multidisciplinary
Mansour Alramlawi, Pu Li
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2020)
Article
Environmental Sciences
Khoa Dang Nguyen, Pham Duc Dai, Dong Quoc Vu, Bui Manh Cuong, Vu Phi Tuyen, Pu Li
Article
Engineering, Civil
Mohamad Zeidan, Pu Li, Avi Ostfeld
Summary: This study introduces a heuristic multiobjective approach for segmenting and operating water distribution systems. By balancing operational costs, excess pressure, and water age, multiobjective problems can be solved under a given system partitioning. However, enforcing clustering formation may compromise optimality and completeness, necessitating additional sensitivity analysis.
JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT
(2021)
Article
Ergonomics
Jan Schnee, Juergen Stegmaier, Pu Li
Summary: The study proposes an online approach based on IMU signals to classify bicycle crashes, functioning as a trigger for an automatic emergency system. Utilizing decision trees and probabilistic models, different kinematic events and crash scenarios are classified. The model's accuracy is verified through a series of driving tests, showing high sensitivity and specificity.
ACCIDENT ANALYSIS AND PREVENTION
(2021)
Article
Energy & Fuels
Gbalimene Richard Ileberi, Pu Li
Summary: Renewable energy resources and energy efficiency measures are effective ways to reduce CO2 emissions. This study investigates the potential of designing a hybrid system that incorporates hydrokinetic energy into an off-grid area. By applying a genetic algorithm to a small community in Nigeria, an optimal micro-grid configuration with PV panels, batteries, hydrokinetic turbines, converter, and a diesel generator is determined.
Article
Mathematics
Ruslan Voropai, Abebe Geletu, Pu Li
Summary: This work explores the use of stochastic model predictive control (MPC) for systems described by parabolic partial differential equations with random parameters. By solving the resulting high-dimensional chance constrained optimization problem using an inner-outer approximation method, the proposed MPC scheme automatically generates probability tubes, simplifying the derivation of feasible solutions.
Proceedings Paper
Automation & Control Systems
Kibru Teka, Abebe Geletu, Pu Li
Proceedings Paper
Automation & Control Systems
Xujiang Huang, Pu Li
Proceedings Paper
Energy & Fuels
Mansour Alramlawi, Youssef Souidi, Pu Li
2019 IEEE INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING AND 2019 IEEE INDUSTRIAL AND COMMERCIAL POWER SYSTEMS EUROPE (EEEIC / I&CPS EUROPE)
(2019)
Proceedings Paper
Automation & Control Systems
Xujiang Huang, Wenzhe Zhang, Pu Li
Proceedings Paper
Engineering, Electrical & Electronic
Jan Schnee, Juergen Stegmaier, Tobias Lipowsky, Pu Li
2019 IEEE SENSORS APPLICATIONS SYMPOSIUM (SAS)
(2019)