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Optimizing appliance scheduling for utility and budget in smart energy systems under inclining block rate tariffs
Published 2025-09-01Subjects: Get full text
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TSP solution using an exact model based on the branch flow formulation and automatic cases generation via the Julia software
Published 2024-12-01“…Unlike classical models, the branch flow formulation ensures a quadratic constraint growth, rather than an exponential one, significantly enhancing scalability. …”
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Joint optimization of maintenance and demand response investments in distribution networks using a hybrid GA-SQP approach
Published 2025-12-01“…A hybrid optimization algorithm combining Genetic Algorithm (GA) and Sequential Quadratic Programming (SQP) is employed to solve the resulting nonlinear, mixed-integer problem. …”
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Ev charging management in a real-time optimization framework considering operational constraints
Published 2025-09-01“…This study proposes a mixed integer quadratically constrained programming (MIQCP) framework to optimize the operation of an EV parking lot (EVPL) under DS constraints. …”
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An application of Markowitz theorem on Tehran Stock Exchange
Published 2014-05-01“…This frontier can be often detected via standard quadratic programming, categorized in convex optimization. …”
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An Automated Load Restoration Approach for Improving Load Serving Capabilities in Smart Urban Networks
Published 2025-07-01“…The proposed model is developed based on a mixed-integer quadratically constrained program (MIQCP), including an optimal power flow (OPF) problem to minimize the power losses in normal operation and the load shedding in islanded operation, while keeping voltage and capacity constraints. …”
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An integrated planning framework for optimal power generation portfolio including frequency and reserve requirements
Published 2024-12-01“…Non‐convex quadratic nadir constraints were efficiently solvable to global optimality by applying McCormick relaxations and branching techniques in an advanced solver.…”
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Analytical Approximation-Based Approach for Passenger Flow Control Strategy in Oversaturated Urban Rail Transit Systems
Published 2023-01-01“…We formulate the problem as a continuous nonlinear programming model to minimize the total passenger waiting time within transportation capacity constraints. …”
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Joint Optimal Train Rescheduling and Passenger Flow Control for Speed Limit and High-Demand Scenarios of Urban Rail Transits
Published 2023-01-01“…With the goal of maximizing the number of passengers served and minimizing total train delay, a nonlinear optimization model is constructed by taking the train operation-related requirements and passenger flow control-related indicators as constraints, and the model is reformulated to a mixed-integer programming (MIP) model with quadratic constraints, which can be solved by the Gurobi solver. …”
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Combinatorial Optimization of Service Order and Overtaking for Demand-Oriented Timetabling in a Single Railway Line
Published 2018-01-01“…In order to extend the literature, this paper discusses the combinatorial effect of service order and overtaking by developing four mixed-integer quadratic programming timetabling models with different service order as well as overtaking conditions. …”
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A trade-off between line hardening and dynamic line rating by a new convex optimization model for resilient micro-grid-oriented expansion planning of reconfigurable smart distribut...
Published 2025-07-01“…The presented approach considers the total cost (including construction costs, operational costs, and CO2 emission costs) and load shedding as the objective functions within a multi-objective optimization, and takes into account all the operational constraints and AC power flow equations. The developed model is constituted as a convex mixed-integer quadratic-constrained programming (MIQCP) which is implemented in GAMS and applied to the IEEE 24-bus system under different experiments. …”
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Automation of reversible steganographic coding with nonlinear discrete optimisation
Published 2022-12-01“…In this study, we formulate reversible steganographic coding as a nonlinear discrete optimisation problem with a logarithmic capacity constraint and a quadratic distortion objective. Linearisation techniques are developed to enable iterative mixed-integer linear programming. …”
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MILP/MIQCP-Based Fully Automatic Method of Searching for Differential-Linear Distinguishers for SIMON-Like Ciphers
Published 2024-01-01“…At CT-RSA 2023, Bellini et al. introduced continuous difference propagations of XOR, rotation, and modulo-addition operations and proposed a fully automatic method using Mixed-Integer Linear Programing (MILP) and Mixed-Integer Quadratic Constraint Programing (MIQCP) techniques to search for DL distinguishers of Addition-Rotation-XOR (ARX) ciphers. …”
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Optimal Operation of CCHP Smart Distribution Grid with Integration of Renewable Energy
Published 2025-01-01“…The entire problem is modelled as a unit commitment interval mixed integer quadratic program (UCIMIQP). The UC is developed to respond to the operation of the electric, heating, and cooling systems and takes into consideration the exchange of energy between these systems. …”
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