Search alternatives:
expectation optimization » expectation maximization (Expand Search), operation optimization (Expand Search), generation optimization (Expand Search)
expectation optimization » expectation maximization (Expand Search), operation optimization (Expand Search), generation optimization (Expand Search)
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The obtained scenarios of the load by the MCS.
Published 2025“…In this regard, a modified Dandelion Optimizer (MDO) algorithm is introduced to optimize the SORPD solution with taking into consideration the stochastic fluctuations or the random variations of the load demand and the power produced by RERs. …”
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The power generated for the SEPL.
Published 2025“…In this regard, a modified Dandelion Optimizer (MDO) algorithm is introduced to optimize the SORPD solution with taking into consideration the stochastic fluctuations or the random variations of the load demand and the power produced by RERs. …”
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The construction principles of the basic framework of smart village theory.
Published 2025Subjects: -
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Results of performance comparison between BPNN model and common benchmark models.
Published 2025Subjects: -
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Overall flow of the EASA-MORU technique.
Published 2024“…Previous research found that metaheuristics can dramatically increase CC performance if deployed as scheduling algorithms. Therefore, this study develops an evolutionary algorithm-based scheduling approach for makespan optimization and resource utilization (EASA-MORU) technique in the cloud environment. …”
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Flowchart of DBO.
Published 2024“…Previous research found that metaheuristics can dramatically increase CC performance if deployed as scheduling algorithms. Therefore, this study develops an evolutionary algorithm-based scheduling approach for makespan optimization and resource utilization (EASA-MORU) technique in the cloud environment. …”
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BOPIM: Bayesian Optimization for Influence Maximization on Temporal Networks
Published 2025“…For this, we use the Expected Improvement function, suitably adjusting for noise in the observations, and optimize it using a greedy algorithm to account for the cardinality constraint. …”
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Diagram of the system (5).
Published 2025“…On this basis, the AVPT problem is modeled as an optimal control problem (the AVPT model). By applying the Pontryagin Maximum Principle to this model, an iterative algorithm of solving the model is presented. …”
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Accelerated MPC Algorithms and Augmented System Design for Legged Robots
Published 2025“…The approach is powered by a newly introduced algorithm, named the modified Recursive Newton Euler Algorithm~(mRNEA), which is inspired by classical RNEA, and computes the dynamics information pre-multiplied with a fixed vector. …”