In the context of the "dual carbon"goal, China is gradually constructing a new type of power system with high penetration of new energy grid-connected, in order to adapt to the characteristics of the power s...
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We consider a single-machine scheduling problem with unequal job sizes and ready times. Several jobs can be processed at the same time on the machine if the sum of their sizes does not exceed the capacity of the machi...
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ISBN:
(纸本)9798331534202;9798331534219
We consider a single-machine scheduling problem with unequal job sizes and ready times. Several jobs can be processed at the same time on the machine if the sum of their sizes does not exceed the capacity of the machine. Only jobs of the same family can be processed at the same time. The machine can be interrupted to start a new job or to unload a completed job. A conditioning time is required to reach again the temperature for the stress test. The machine is unavailable during conditioning. Jobs that cannot be completed before conditioning have to continue with processing after the machine is available again. The makespan is to be minimized. A mixed-integerlinear program and a constraint programming formulation are established, and a constructive heuristic and a biased random-key genetic algorithm are designed. Computational experiments based on randomly generated problem instances demonstrate that the algorithms perform well.
Security-Constrained Unit Commitment (SCUC) stands as a critical challenge within power systems. With the continual expansion of power networks, SCUC encounters substantial hurdles in terms of computational time. In p...
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Large-scale mixed-integer linear programming (MILP) problems have been efficiently addressed using Machine Learning (ML)-based frameworks, especially ML-based evolutionary optimization frameworks to obtain high-qualit...
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作者：
Gaggero, MauroInstitute of Marine Engineering
National Research Council of Italy Genoa16149 Italy GNAMPA-INdAM
Gruppo Nazionale per l'Analisi Matematica La Probabilità e le Loro Applicazioni - Istituto Nazionale di Alta Matematica Italy
The optimization of the transportation of CO2 through ships in a carbon capture and storage context is investigated by means of mixed-integer linear programming and a greedy heuristic approach. The goal is to schedule...
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In this research contribution, we present a novel approach aimed at accelerating online mixed-integer optimization by leveraging heuristic ROUNDING techniques and interior point methods. The cornerstone of our method ...
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With the rapid development of the tourism industry, tourists' requirements for travel experiences are constantly improving, especially foreign tourists who show great interest in the attractiveness of Chinese citi...
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The paper proposes an innovative model for integrating energy communities within urban districts according to the smart cities paradigm. The approach developed contemplates the proactive participation of members of an...
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mixedintegerlinear Programs (MILPs) are powerful tools for modeling and solving combinatorial optimization problems. Solving an MILP is NP-hard due to the integrality requirement, and the branch and bound (B&B) ...
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This paper presents a mixedintegerprogramming model for optimal airspace sector design based on basic volume aggregation, focusing on workload balance and air traffic flow convexity. To overcome potential computatio...
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