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Titlebook: Advances in Swarm Intelligence; 10th International C Ying Tan,Yuhui Shi,Ben Niu Conference proceedings 2019 Springer Nature Switzerland AG

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樓主: 萌芽的心
41#
發(fā)表于 2025-3-28 17:39:29 | 只看該作者
42#
發(fā)表于 2025-3-28 19:18:02 | 只看該作者
K. S. Jithin Mohan,S. Paul Sathiyanmportant part of wireless communication systems. An Antenna is a device for transmitting or receiving signals. Antennas can be broadly divided into two types, antenna elements and antenna arrays. Antenna elements function in transmitting or receiving signals. Antenna arrays are actually an array of
43#
發(fā)表于 2025-3-28 23:47:57 | 只看該作者
Concanavalin A: An Introduction,blem. The purpose of this paper is to propose a powerful and easy-to-use multi-objective optimization approach for building energy performance. In this work, an improved multi-objective particle swarm optimization algorithm with less control parameters is proposed and coupled with EnergyPlus buildin
44#
發(fā)表于 2025-3-29 05:48:34 | 只看該作者
https://doi.org/10.1007/978-1-4684-0949-9sengers’ minimum waiting time. This paper proposes an ensemble differential algorithm based on particle swarm optimization (abbreviated as PSOEDE) to solve the VSP. In PSOEDE algorithm, the mutation process is designed by dividing the original process into two parts: the first part combines the PSO
45#
發(fā)表于 2025-3-29 11:00:25 | 只看該作者
46#
發(fā)表于 2025-3-29 13:50:14 | 只看該作者
https://doi.org/10.1057/9781403973474, which was cutting trajectory planning method of roadheader. It could reduce the cost of tunneling, improve the cutting efficiency of coal and rock, and reduced casualties. The improved particle swarm optimization (PSO) is adopt to plan the cutting trajectory and the features of the improvements ar
47#
發(fā)表于 2025-3-29 17:09:20 | 只看該作者
48#
發(fā)表于 2025-3-29 23:06:53 | 只看該作者
Generative Adversarial Optimization is proposed in this paper. This GAO framework sets up generative models to generate candidate solutions via an adversarial process, in which two models are trained alternatively and simultaneously, i.e., a generative model for generating candidate solutions and a discriminative model for estimating
49#
發(fā)表于 2025-3-30 03:48:03 | 只看該作者
Digital Model of Swarm Unit System with Interruptionsion on suddenly appearing dangerous external affects, etc., is considered. It is shown that for the proper planning of computation process in systems with interruption it is necessary to have a model, which permits to predict system state at any time. Approach to simulation, based on the representat
50#
發(fā)表于 2025-3-30 05:32:35 | 只看該作者
Algorithm Integration Behavior for Discovering Group Membership Rules of the assumptions when working with these algorithms is that the complexity of the membership domain of the cases they use does not affect the quality of the obtained results. So, it is important to analyze the behavior of the information exploitation process through the discovery of group members
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