Search alternatives:
property optimization » process optimization (Expand Search), policy optimization (Expand Search), robust optimization (Expand Search)
linear optimization » lead optimization (Expand Search), after optimization (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
based linear » based library (Expand Search), best linear (Expand Search), wise linear (Expand Search)
level » levels (Expand Search)
property optimization » process optimization (Expand Search), policy optimization (Expand Search), robust optimization (Expand Search)
linear optimization » lead optimization (Expand Search), after optimization (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
based linear » based library (Expand Search), best linear (Expand Search), wise linear (Expand Search)
level » levels (Expand Search)
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Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results
Published 2025Subjects: -
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Cut-based matheuristic algorithms to detect tacit collusion in deregulated electricity markets
Published 2025“…In order to detect such collusions, we consider a non-linear bi-level problem formulation. The original bi-level formulation is reformulated using two alternative mixed integer linear programming formulations utilizing the linear programming property of the lower level and various linearization methods. …”
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GA algorithm.
Published 2024“…The proposed ELM neural network model was optimized using a genetic algorithm and combined with the linear regression model to establish a predictive model. …”
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GA-ELM algorithm.
Published 2024“…The proposed ELM neural network model was optimized using a genetic algorithm and combined with the linear regression model to establish a predictive model. …”
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Parameter sets of the chosen algorithms.
Published 2024“…The wild horse optimizer (WHO) is a new metaheuristic algorithm based on the social behavior of wild horses. …”
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The flow chart of IERWHO algorithm.
Published 2024“…The wild horse optimizer (WHO) is a new metaheuristic algorithm based on the social behavior of wild horses. …”
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The flow chart of WHO algorithm.
Published 2024“…The wild horse optimizer (WHO) is a new metaheuristic algorithm based on the social behavior of wild horses. …”
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Function graph and algorithm iterative graph.
Published 2024“…The wild horse optimizer (WHO) is a new metaheuristic algorithm based on the social behavior of wild horses. …”
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The convergence curves of all the 10 algorithms.
Published 2024“…The wild horse optimizer (WHO) is a new metaheuristic algorithm based on the social behavior of wild horses. …”
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AFO-ideal point method algorithm flowchart.
Published 2024“…The Aptenodytes Forsteri Optimization (AFO) algorithm is combined with the Ideal Point Method to solve the model, and the algorithm is compared with the Particle Swarm Optimization (PSO), Differential Evolutionary (DE), Tabu Search (TS), Sparrow Search (SS) algorithms, and the exact solver Linear Interactive and General Optimizer (LINGO). …”
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DataSheet1_Barrier-free tomato fruit selection and location based on optimized semantic segmentation and obstacle perception algorithm.docx
Published 2024“…To enrich the dataset for tomato harvesting, synthetic data were generated by rendering a 3D simulated model of the tomato greenhouse environment, and automatically producing corresponding pixel-level semantic segmentation labels. An attention-based spatial-relationship feature extraction module (SFM) with lower computational complexity was designed to enhance the ability of semantic segmentation network DeepLab v3+ in accurately segmenting linear-structured obstructions such as stems and wires. …”
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