Article
Engineering, Biomedical
Gehan Abouelseoud, Yasmine Abouelseoud, Amin Shoukry, Nour Ismail, Jaidaa Mekky
Summary: This paper aims to develop a rigorous mathematical framework, based on mixed integer programming, for the analysis of the cortical vision prosthesis design problem and the optimal estimation of a prosthesis setup parameters. The simulated examples illustrate the unique capabilities of the proposed strategy in testing the feasibility of the goals of a prosthesis under a set of specified design constraints. Future research should focus on how these electrodes can be safely implanted, and once this is possible, the proposed framework can be applied to decide their optimal locations and excitation currents.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2023)
Article
Computer Science, Interdisciplinary Applications
Pedro M. Castro
Summary: Most short-term scheduling formulations in Process Systems Engineering assume uninterrupted time horizon. However, local working patterns may prevent activities during nights or weekends. This paper presents a problem involving a multiproduct batch chemical plant with stable and unstable intermediates, limited availability of shared resources, non-instantaneous transfer times, and the possibility of interrupting changeover tasks. The proposed Resource-Task Network (RTN) model captures these features and preemption of changeover tasks is found to be beneficial.
COMPUTERS & CHEMICAL ENGINEERING
(2022)
Article
Computer Science, Interdisciplinary Applications
Yamin Yan, Pedro M. Castro, Qi Liao, Yongtu Liang
Summary: This article presents a novel two-stage algorithm for the detailed scheduling of branched multiproduct pipeline systems with a single refinery and multiple depots. The algorithm can significantly reduce computational time and improve pipeline transportation capacity.
COMPUTERS & CHEMICAL ENGINEERING
(2021)
Article
Management
Hossein Mostafaei, Pedro M. Castro, Fabricio Oliveira, Iiro Harjunkoski
Summary: This paper introduces a mixed integer linear programming model for pipeline transportation scheduling, which considers factors such as interface material generation, planned shutdowns, and local market demands, resulting in better schedules. The use of generalized disjunctive programming and convex hull reformulation of disjunctions leads to stronger and more computationally efficient formulations for large-scale industrial cases.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2021)
Article
Engineering, Electrical & Electronic
Ashkan Fakhri, Abdolber Mallah Livani
Summary: This article discusses the problem of constructing single-track gray code encoders and proposes a mixed-integer linear programming model to search for optimal encoders. The model can generate encoders with private features based on various objective functions and constraints.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Thermodynamics
Fiona Clarke, Bogdan Dorneanu, Evgenia Mechleri, Harvey Arellano-Garcia
Summary: This paper presents a mixed integer linear programming model for the optimal design of a distributed energy resource (DER) system that meets electricity, heating, cooling and domestic hot water demands of a neighbourhood. The focus is on the design, interaction and operation of the pipeline network, considering operation and maintenance costs. The scalability of the model is tested by applying it to neighbourhoods of different sizes.
Article
Computer Science, Interdisciplinary Applications
Wassila Abdellaoui, Mehdi Souier, M'hammed Sahnoun, Fouad Ben Abdelaziz
Summary: This article proposes an operational schedule for a multi-product pipeline system in an Algerian oil company to meet the demands of different distribution centers while respecting quality and cost requirements. The model utilizes a mixed integer linear programming (MILP) approach and is tested on a real case to show that it satisfies variable demand while meeting quality and cost constraints.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Thermodynamics
Jan Richarz, Sarah Henn, Tanja Osterhage, Dirk Muller
Summary: Modernizing existing non-residential buildings can significantly reduce energy consumption in the European building stock and contribute to achieving emission reduction goals. The use of a mixed-integer linear program helps determine the optimal combination of modernization measures and their timing, with multi-objective optimization aimed at minimizing carbon emissions and net present value.
Article
Mathematics
Jae Won Jang, Yong Jae Kim, Byung Soo Kim
Summary: This paper tackles the problem of minimizing makespan on parallel batch processing machines through batch loading and scheduling. A three-stage ant colony optimization algorithm is proposed, which found optimal solutions for small-sized problems and achieved near-optimal solutions for large-sized problems, outperforming genetic algorithm or particle swarm optimization algorithms.
Article
Operations Research & Management Science
Xin Cheng, Xiang Li
Summary: This paper introduces a method based on discretization and mixed-integer linear programming relaxations for global optimization of mixed-integer bilinear programs. By proposing new discretization formulations and an adaptive discretization global optimization algorithm, better computational efficiency and solution quality are achieved.
JOURNAL OF GLOBAL OPTIMIZATION
(2022)
Article
Operations Research & Management Science
Jacek Gondzio, E. Alper Yildirim
Summary: This paper investigates how to reformulate a standard quadratic program as a mixed integer linear programming problem, proposing two alternative formulations. By utilizing binary variables and valid inequalities, the formulations significantly outperform other global solution approaches in extensive computational results.
JOURNAL OF GLOBAL OPTIMIZATION
(2021)
Article
Automation & Control Systems
Andrea Camisa, Giuseppe Notarstefano
Summary: This article discusses the distributed control of microgrids, taking into account the unpredictability of renewable energy sources. A distributed methodology based on neighboring communication is proposed and its effectiveness is verified through numerical experiments.
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
(2023)
Article
Automation & Control Systems
Jiao Liu, Yong Wang, Bin Xin, Ling Wang
Summary: This article proposes a two-phase method based on biobjective optimization to address the issue of local convergence caused by integer restrictions in mixed-integer programming problems. By utilizing a measure function and removing integer restrictions, the MIP problem is transformed into a constrained biobjective optimization problem, leading to better solutions.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2022)
Article
Computer Science, Artificial Intelligence
Bahriye Akay, Dervis Karaboga, Beyza Gorkemli, Ebubekir Kaya
Summary: This paper reviews the use of Artificial Bee Colony algorithm for solving discrete numeric optimization problems, discussing various encoding types, search operators and selection operators integrated into ABC. It is the first comprehensive survey study on this topic and aims to benefit readers interested in utilizing ABC for binary, integer and mixed integer discrete optimization problems.
APPLIED SOFT COMPUTING
(2021)
Article
Thermodynamics
Marco Wirtz, Maria Hahn, Thomas Schreiber, Dirk Mueller
Summary: This study compares the performance of 24 MILP models for designing multi-energy systems, examining the impact of different combinations of features on the final system design. It was found that models considering part-load efficiencies have the lowest costs but longest computation times, while simple design heuristics combined with fast-solving linear models can achieve lower total costs.
ENERGY CONVERSION AND MANAGEMENT
(2021)
