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561
Optimal dispatch of distributed renewable energy and energy storage systems via optimal configuration of mobile edge computing
Published 2024-12-01“…In each area, the upper model takes the total energy consumption of the MEC server and the operating cost of the power system as the objective to calculate the output of each distributed unit and the computational quantity under the optimal offload strategy. The lower model ensures the complete accommodation of renewable energy and the optimal economic operation of the whole area through the introduction of electric vehicles (EVs) and secondary operation of energy storage systems under the constraint of MEC server computing delay. …”
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562
Development and application of distributed computing system in inverse problems of fracture mechanics
Published 2017-12-01“…Introduction. When solving problems that require processing of a large amount of data, the problem of obtaining a solution in an acceptable time arises. …”
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563
Enhanced wombat optimization algorithm for multi-objective optimal power flow in renewable energy and electric vehicle integrated systems
Published 2025-03-01“…For this study, the OPF problem was developed as a Multi-Objective Optimization (MOO) problem with the following objectives such as active power loss, emissions and generation cost. …”
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564
Supply chain management and optimization in transportation logistics
Published 2022-12-01“…For the optimization modeling, two main classes of decision-making problems are:</p><p><em>1) </em><em>Constrained decision problems modeled as the optimization of an objective expressed while fulfilling a set of structural constraints that bound the decision space. …”
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565
Microscopic stress-constrained two-scale topology optimisation for additive manufacturing
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566
Research on Collaborative Optimization Strategy of Railway Signal Nonlinear Control System Based on BBO Algorithm and Multi-objective Optimization
Published 2025-12-01“…Currently, the railway signal control system faces performance bottlenecks such as response lag and local optima due to parameter coupling when dealing with multi-objective optimization problems like train operating speed and signal delays. …”
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567
Model Order Reduction by Legendre Expansion Using Harmony Search Algorithm
Published 2024-02-01“…Then, the stability conditions are constraints in optimization problem. To present the efficiency of the proposed method, three test systems are reduced. …”
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568
Tilt-Up System Optimization for Lattice Towers
Published 2025-04-01“…By formulating the governing equations of the system and incorporating design constraints and practical considerations, the problem is framed as a nonlinear optimization problem. …”
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569
An evolutionary-based optimization algorithm for truss sizing design
Published 2016-12-01“…Objective functions of the optimization problems are minimum weights of the whole truss structures and constraints are stress in members and displacement at nodes. …”
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570
Uncertainty Feasible Region Analysis for Microgrids in the Coordination with Distribution System Considering Interactive Power Deviation
Published 2025-03-01“…Subsequently, the problem is transformed using duality theory by identifying umbrella constraints, ultimately linearizing the problem to enable its solution by commercial software. …”
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571
Genetic algorithm of optimizing the qualification of programmer teams
Published 2021-01-01“…The function recognizes the teams that meet all constraints on the project and are workable from this point of view. …”
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572
Optimal Control for a Class of Chaotic Systems
Published 2012-01-01“…By converting the chaotic systems to the form of uncertain piecewise linear systems, we can obtain the optimal controller minimizing the upper bound on cost function by virtue of the robust optimal control method of piecewise linear systems, which is cast as an optimization problem under constraints of bilinear matrix inequalities (BMIs). …”
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573
Forgetful Swarm Optimization for Astronomical Observation Scheduling
Published 2024-01-01“…In this paper, we propose a novel metaheuristic algorithm called Forgetful Swarm Optimization (FSO) for Astronomical Observation Scheduling (AOS), a type of combinatorial optimization problem defined by the tasks and constraints assigned to the telescopes and other devices involved in astrophysical research. …”
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574
On the First-Order Shape Derivative of the Kohn-Vogelius Cost Functional of the Bernoulli Problem
Published 2013-01-01“…The exterior Bernoulli free boundary problem is being considered. The solution to the problem is studied via shape optimization techniques. …”
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575
Optimization for header parameters of rape combine harvester
Published 2018-07-01“…The above results can provide a reference for optimization design of the header structure of rape combine harvester and optimization of operating parameters.…”
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576
Optimal Trajectory Planning for Wheeled Robots (OTPWR): A Globally and Dynamically Optimal Trajectory Planning Method for Wheeled Mobile Robots
Published 2024-09-01“…This method leverages differential flatness to reduce dimensionality and decouple the problem, achieving globally optimal, collision-free paths in a two-dimensional flat output space through diagonal search and polynomial trajectory optimization. …”
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577
Coordination of Pheromone Deposition Might Solve Time-Constrained Travelling Salesman Problem
Published 2018-01-01“…In this study, we develop two Ant Colony Optimization (ACO) models as new metaheuristic models for solving the time-constrained Travelling Salesman Problem (TSP). …”
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578
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579
Achieving Optimal Injection Molding Parameters to Minimize Both Shrinkage and Surface Roughness Through a Multi-Objective Optimization Approach
Published 2025-05-01“…A multi-objective optimization problem was formulated and solved using the pattern search algorithm, generating a Pareto front that highlights the trade-off between the two objectives. …”
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580
An interior proximal gradient method for nonconvex optimization
Published 2024-07-01“…We consider structured minimization problems subject to smooth inequality constraints and present a flexible algorithm that combines interior point (IP) and proximal gradient schemes. …”
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