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检索条件"主题词=evolutionary Algorithms"
12006 条 记 录,以下是81-90 订阅
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Navigating the Aisles: evolutionary algorithms for Supermarket Evacuation Planning
Navigating the Aisles: Evolutionary Algorithms for Supermark...
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2024 Genetic and evolutionary Computation Conference Companion, GECCO 2024 Companion
作者: Cotta, Carlos ITIS Software Universidad de Málaga Málaga Spain
We address the placement of emergency exits to facilitate evacuation from supermarket-like environments. Using a simulation-based approach, evolutionary algorithms are shown to provide good results compared to a greed... 详细信息
来源: 评论
Multi-objective optimization of mechanically stabilized earth retaining wall using evolutionary algorithms
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INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS 2022年 第8期46卷 1433-1465页
作者: Kashani, Ali R. Camp, Charles, V Azizi, Koorosh Rostamian, Mehdi Univ Memphis Dept Civil Engn Memphis TN 38152 USA
This paper uses evolutionary optimization algorithms to study the multi-objective optimization of mechanically stabilized earth (MSE) retaining walls. Five multi-objective optimization algorithms, including the non-do... 详细信息
来源: 评论
Final Productive Fitness for Surrogates in evolutionary algorithms
Final Productive Fitness for Surrogates in Evolutionary Algo...
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2024 Genetic and evolutionary Computation Conference Companion, GECCO 2024 Companion
作者: Zorn, Maximilian Gerner, Sarah Altmann, Philipp Gabor, Thomas LMU Munich Munich Germany
Final productive fitness is an a posteriori fitness estimate for evolutionary algorithms that takes into account the fitness of an individual's descendants. We use that metric in the context of surrogate-based evo... 详细信息
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A Short Survey of evolutionary algorithms for Solving Many Objective Optimization Problems  1
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13th International Workshop of Advanced Manufacturing and Automation, IWAMA 2023
作者: Xu, Yigang Wang, Chen Department of Mechanical Engineering Hubei Institute of Automotive Technology Shiyan10525 China
Multi-objective evolutionary algorithms have been shown to solve multi-objective optimization problems well and have been very widely used, but there are still drawbacks such as failure to develop sufficient environme... 详细信息
来源: 评论
Tackling Adversarial Faults in Panmictic evolutionary algorithms
Tackling Adversarial Faults in Panmictic Evolutionary Algori...
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Genetic and evolutionary Computation Conference (GECCO)
作者: Cotta, Carlos Univ Malaga ITIS Software Malaga Spain
We analyze the performance of panmictic evolutionary algorithms in byzantine environments in which fitness can be computed by malicious agents. We measure the influence of the rate of unreliability of the environment,... 详细信息
来源: 评论
GEEvo: Game Economy Generation and Balancing with evolutionary algorithms  13
GEEvo: Game Economy Generation and Balancing with Evolutiona...
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13th IEEE Congress on evolutionary Computation, CEC 2024
作者: Rupp, Florian Eckert, Kai University of Applied Sciences Mannheim Department of Computer Science Mannheim Germany
Game economy design significantly shapes the player experience and progression speed. Modern game economies are becoming increasingly complex and can be very sensitive to even minor numerical adjustments, which may ha... 详细信息
来源: 评论
CONNECTING LARGE LANGUAGE MODELS WITH evolutionary algorithms YIELDS POWERFUL PROMPT OPTIMIZERS  12
CONNECTING LARGE LANGUAGE MODELS WITH EVOLUTIONARY ALGORITHM...
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12th International Conference on Learning Representations, ICLR 2024
作者: Guo, Qingyan Wang, Rui Guo, Junliang Li, Bei Song, Kaitao Tan, Xu Liu, Guoqing Bian, Jiang Yang, Yujiu Tsinghua University China Microsoft Research United States Northeastern University United States
Large Language Models (LLMs) excel in various tasks, but they rely on carefully crafted prompts that often demand substantial human effort. To automate this process, in this paper, we propose a novel framework for dis... 详细信息
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Application of evolutionary algorithms to the Optimal Design of Non-circular Actively Lubricated Bearings  23th
Application of Evolutionary Algorithms to the Optimal Design...
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23rd International Conference on Intelligent Systems Design and Applications, ISDA 2023
作者: Fetisov, Alexander Litovchenko, Maksim Shutin, Denis Orel State University name after I.S. Turgenev Komsomolskaya Street 95 Orel302026 Russia
The paper presents an approach to the optimal design of actively lubricated hybrid bearings with non-circular bore geometry. The novelty of the proposed approach is the automated and joint assessment of the performanc... 详细信息
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Energy Consumption Analysis of Batch Runs of evolutionary algorithms
Energy Consumption Analysis of Batch Runs of Evolutionary Al...
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2024 Genetic and evolutionary Computation Conference Companion, GECCO 2024 Companion
作者: Cotta, Carlos Martínez-Cruz, Jesús ITIS Software Universidad de Málaga Málaga Spain Dept. Lenguajes y Ciencias de la Computación Universidad de Málaga Málaga Spain
We analyze the energy consumption of running evolutionary algorithms in batch as a function of the rest time between runs. It is shown that energy consumption can be reduced by 5%-8% by inserting short pauses between ... 详细信息
来源: 评论
Optimization of UV LED design using evolutionary algorithms
Optimization of UV LED design using evolutionary algorithms
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Annual Conference of the IEEE-Photonics-Society (IPC)
作者: Leguay, L. Maczko, H. Schliwa, A. Birner, S. Tech Univ Berlin Inst Solid State Phys Hardenbergstr 36 D-10623 Berlin Germany Nextnano GmbH Konrad Zuse Pl 8 D-81829 Munich Germany
We present a computational approach combining evolutionary algorithms with calculation software nextnano++ to optimize the design of a nitride-based ultraviolet light-emitting diode (UV LED). Our findings reveal a sig... 详细信息
来源: 评论