精致
发表于 2025-3-25 06:49:15
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严厉批评
发表于 2025-3-25 09:23:30
On the Flexible Applied Boundary and Support Conditions of Compliant Mechanisms Using Customized Evoand the properties of single-piece elastic structures known as compliant mechanisms. In this paper, the same aspect is explored for path generating compliant mechanisms by considering them as design variables and their values are evolved using customized NSGA-II algorithm. Three examples are solved
guzzle
发表于 2025-3-25 15:27:30
Intensification Strategies for Extremal Optimisationa few attempts to extend the paradigm to include standard search mechanisms that are routinely used by other techniques such as genetic algorithms, tabu search and ant colony optimisation. The key way to begin this process is to augment EO with attributes that it naturally lacks. While EO does not g
压迫
发表于 2025-3-25 19:31:59
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火花
发表于 2025-3-25 22:19:13
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Vldl379
发表于 2025-3-26 04:06:02
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盘旋
发表于 2025-3-26 05:14:20
Solving the Optimal Coverage Problem in Wireless Sensor Networks Using Evolutionary Computation Algoy computation (EC) algorithms to solve the problem. The OCP is to determine to active as few nodes as possible to monitor the area in order to save energy while at the same time meets the surveillance requirement, e.g., the full coverage. This is a fundamental problem in the WSN which is significant
擦试不掉
发表于 2025-3-26 09:18:36
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ABHOR
发表于 2025-3-26 16:31:01
Evolutionary FCMAC-BYY Applied to Stream Data Analysises. Stream data analysis is a critical issue in many application areas such as network fraud detection, stock market prediction, and web searches. In this research, our previously proposed FCMAC-BYY, that uses Bayesian Ying-Yang (BYY) learning in the fuzzy cerebellar model articulation controller (F
幼儿
发表于 2025-3-26 18:14:39
he desired combination of low weight, stiffness and strength. At present, the knowledge has advanced to a level that materials can be tailored to exhibit certain, required properties. At the same time, the fact that these materials are composed of various, sometimes very different constituents, make