Search Results - Parameter tuning and algorithm configuration

Analysing hyper-heuristics based on Neural Networks for the automatic design of population-based metaheuristics in continuous optimisation problems by Tapia-Avitia, José M., Cruz-Duarte, Jorge M., Amaya, Ivan, Ortiz-Bayliss, José Carlos, Terashima-Marin, Hugo, Pillay, Nelishia

“… Many approaches have designed algorithms that probe the combination of such heuristics, generating astonishing results compared to generic MHs…”
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Tailoring Metaheuristics for Designing Thermodynamic-Optimal Cooling Devices for Microelectronic Thermal Management Applications by Perez-Espinosa, Guillermo, Cruz-Duarte, Jorge M., Amaya, Ivan, Ortiz-Bayliss, Jose C., Terashima-Marin, Hugo, Pillay, Nelishia

“…Heat sinks are a prevalent and direct solution for addressing the Microelectronic Thermal Management Problem (MTMP), which is critical in today's electronic…”
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Analysing differences between algorithm configurations through ablation by Fawcett, Chris, Hoos, Holger H.

“…Developers of high-performance algorithms for hard computational problems increasingly take advantage of automated parameter tuning and algorithm configuration tools, and consequently often create…”
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Comparison of sampling methods for algorithm configuration problem: A case for tuning differential ant-stigmergy (DASA) algorithm parameters by Eryoldaş, Yasemin, Durmuşoğlu, Alptekin

“… A good selection of the parameter values can increase their performance. In this study, we compared eight different sampling methods, used for tuning the five control parameters of the Differential Ant-Stigmergy Algorithm (DASA…”
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A Novel Oppositional Chaotic Flower Pollination Optimization Algorithm for Automatic Tuning of Hadoop Configuration Parameters by Bellamkonda Sathyanarayanan, Vidhyasagar, Jeevarathinam, Raja Paul Perinbam, Marudhamuthu, Krishnamurthy

“… Many applications utilize big data platforms, namely Spark, Hadoop, Amazon web services, and so on, since these platforms use several parameters for tuning that further enhance the operating performances…”
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DPDK-Based Optimization Approach for High Speed Storage I/O by ZHU Wenjun, XU Zhuang, QIN Jiajia, LI Peng

“…In the Redis storage process,I/O is a key factor that influences storage performance.Inaccurate default parameter configuration or manual parameter configuration will restrict the performance of storage and increase…”
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Dynamic instance sampling for multi-objective automatic algorithm configuration by Li, Yuchen, Wang, Handing

“…Multi-objective automatic algorithm configuration alleviates the tedious parameter tuning for users by optimizing both the performance and efficiency of the target algorithm…”
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A Survey of Automatic Parameter Tuning Methods for Metaheuristics by Huang, Changwu, Li, Yuanxiang, Yao, Xin

“…Parameter tuning, that is, to find appropriate parameter settings (or configurations) of algorithms so that their performance is optimized, is an important task in the development and application of metaheuristics…”
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Workload-Aware Performance Tuning for Multimodel Databases Based on Deep Reinforcement Learning by Sun, Jun, Ye, Feng, Nedjah, Nadia, Zhang, Ming, Xu, Dong

“… How to efficiently manage and tune the performance of multimodel databases is still a problem. Therefore, in this study, we present a configuration parameter tuning tool MMDTune+ for ArangoDB…”
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Why Tuning the Control Parameters of Metaheuristic Algorithms Is So Important for Fair Comparison? by Kazikova, Anezka, Pluhacek, Michal, Senkerik, Roman

“… The comparisons should be fair and unbiased. This paper points to the importance of proper initial parameter configurations of the compared algorithms…”
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A Novel Configuration Tuning Method Based on Feature Selection for Hadoop MapReduce by Liu, Jun, Tang, Sule, Xu, Guangxia, Ma, Chuang, Lin, Mingwei

“… In this paper, a novel configuration parameter tuning method based on a feature selection algorithm is proposed, and it is composed of the feature selection objective function and feature selection process…”
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Optimization of the Eclipse TPS beam configuration parameters for small field dosimetry using Monte Carlo simulations and experimental measurements by Younes, Tony, Chatrie, Frédéric, Zinutti, Marianne, Simon, Luc, Fares, Georges, Vieillevigne, Laure

“…To evaluate the impact of tuning the beam configurations parameters on the Analytical Anisotropic Algorithm (AAA) and the Acuros XB (AXB…”
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An automated method for solving Configuration of Distributed Messaging Systems: DMGA-PSO algorithm by Ma, Hanbo, Ma, Yaofei, li, Jingyao, Guo, Tianyu, Yuan, Haitao

“…As Distributed Messaging Systems (DMS) like Kafka become increasingly important for managing large-scale data streams, optimizing configuration parameters…”
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Pitfalls and Best Practices in Algorithm Configuration by Eggensperger, Katharina, Lindauer, Marius, Hutter, Frank

“…). Automated algorithm configuration methods have recently received much attention in the AI community since they replace tedious, irreproducible and error-prone manual parameter tuning and can lead…”
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Unbalanced budget distribution for automatic algorithm configuration by Ghambari, Soheila, Rakhshani, Hojjat, Lepagnot, Julien, Jourdan, Laetitia, Idoumghar, Lhassane

“…Optimization algorithms often have several critical setting parameters and the improvement of the empirical performance of these algorithms depends on tuning…”
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Automated Dynamic Algorithm Configuration by Adriaensen, Steven, Biedenkapp, André, Shala, Gresa, Awad, Noor, Eimer, Theresa, Lindauer, Marius, Hutter, Frank

“… While a variety of automated algorithm configuration methods have been proposed to relieve users from the tedious and error-prone task of manually tuning parameters, there is still a lot of untapped…”
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Liquid metal microfluidic cooling system for high-efficiency thermal management via learning-based genetic algorithm by Wang, Yucheng, Bi, Antong, Chen, Kaiyu, Yu, Shenxin, Gao, Wanping, Zhang, Wenyi, Wu, Yuwan, Li, Zhiqiang, Wang, Shaoxi

“… of optimizing thermal performance through algorithm-guided parameter tuning. To validate the proposed method, four distinct microchannel configurations were designed, fabricated, and experimentally tested…”
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Automatic parameter tuning with a Bayesian case-based reasoning system. A case of study by Pavón, Reyes, Díaz, Fernando, Laza, Rosalía, Luzón, Victoria

“… Users spend a lot of time tuning algorithms for their specific problem domain, and this time could be saved by an automatic approach for parameter tuning…”
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Deep learning for effective Android malware detection using API call graph embeddings by Pektaş, Abdurrahman, Acarman, Tankut

“… But identification of similarities in graphs and graph matching algorithms for classification is slow, complicated to be adopted to a new domain, and their results may be inaccurate…”
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Continuous optimization algorithms for tuning real and integer parameters of swarm intelligence algorithms by Yuan, Zhi, Montes de Oca, Marco A., Birattari, Mauro, Stützle, Thomas

“… In this article, we study the performance of a number of prominent continuous optimization algorithms for parameter tuning using various case studies from the swarm intelligence literature…”
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