The synthetic magnetic anomaly generated and the causative sources are shown in Fig.5. We performed 30 independent runs using 80 search agents and 140 iterations for both BMO and sPSO. Table3lists the model parameters search spaces and the solutions obtained. Note that the run-time of sPSO a...
We used a deep neural network to approximate theQ-function. The input molecule is converted to a vector form called its Morgan fingerprint26with radius of 3 and length of 2048, and the number of steps remaining in the episode was concatenated to the vector. A four-layer fully-connected netw...
Wu JT, Leung K, Leung GM (2020) Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China: a modelling study. Lancet 395(10225):689–697 Article Google Scholar Yamato M, Fujiwara A (2019) A strawberry optimization algorithm...
Tips for modelling polynomial optimization problemWhen possible, explictly include a sphere/ball constraint (or multi-sphere/multi-ball constraints). When the feasible set is unbounded, try the homogenization technique introduced in Homogenization for polynomial optimization with unbounded sets. Scale the ...
Based on the above motivation of energy harvesting, this article proposed energy-efficient modelling in WSN. GA evolutionary tool is used to solve the optimization problem. Tree-based population initialization, crossover, mutation etc. are proposed. A network of 16 number of nodes with arbitrary di...
Whale Optimization Algorithm (WOA), as a newly proposed swarm-based algorithm, has gradually become a popular approach for optimization problems in various
Process optimization can be accomplished via the three steps of modelling, optimization and realization, and the grade of errors and difficulties included ... S Shioya,H Shimizu,P Chim-Anage,... - 《Kagaku Kogaku Ronbunshu》 被引量: 3发表: 1991年 Optimization and Realization of G.729 Speec...
However, realistically modelling hierarchical decision-making calls for multilevel formulations, which are numerically intractable and mathematically difficult. In this work, we show how to leverage two data-driven techniques – derivative-free optimization and optimality surrogates – to decrease the ...
The development and utilization of bulk resources provide the basic material needs for industrial systems. However, most current resource utilization patterns are unsustainable, with low efficiencies and high carbon emissions. Here, we report a quantitat
In this work, an energy utilization calculation was also performed for cloud data centers using a Planet Laboratory that included many PlanetLab virtual machines with large-scale modelling configurations. The discrete-time systems Markov chain model was put forward in15 to forecast prospective resource ...