標(biāo)題: Titlebook: Genetic Programming Theory and Practice V; Rick Riolo,Terence Soule,Bill Worzel Book 2008 Springer-Verlag US 2008 Algorithms.Multi-agent s [打印本頁] 作者: 聯(lián)系 時間: 2025-3-21 19:57
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書目名稱Genetic Programming Theory and Practice V讀者反饋學(xué)科排名
作者: 起草 時間: 2025-3-21 21:06 作者: Feigned 時間: 2025-3-22 01:06
Data Acquisition and Preprocessing,a rigorous, detailed theory that is mature enough to guide the development of GP systems to solve specific problems contributes to this weakness. Thus, there remains an on-going need to both strengthen theory and to keep it closely tied to the practice of GP. The Genetic Programming Theory and Pract作者: 蒙太奇 時間: 2025-3-22 06:40
Luise Jacobs,Susanne Hensel-B?rner we observed that those evolutions that started from the smallest subset sizes (10%) consistently led to results that are superior in terms of the goodness of fit, consistency between independent runs, and computational effort. Our experience indicates that solutions obtained using this approach are作者: 有常識 時間: 2025-3-22 09:54 作者: 搏斗 時間: 2025-3-22 13:38
Database Benchmarking and Stress Testinguld be stronger than that of error, improving evolvability. We support these arguments with simulations using a logic function benchmark and a time series application. For a chaotic time series prediction problem, for instance, the proposed approach avoids familiar difficulties (premature convergenc作者: 搏斗 時間: 2025-3-22 20:10 作者: 極肥胖 時間: 2025-3-22 21:46 作者: 責(zé)怪 時間: 2025-3-23 01:36 作者: Mingle 時間: 2025-3-23 08:05 作者: INCUR 時間: 2025-3-23 12:01
Tuning of Disk Resident Data Structuresof this approach is that all available data may be used in the model development rather than a partition into training, test and validation subsets. The result is constituent models are more accurate without risk of over-fitting, the ensemble predictions are more accurate and the ensemble prediction作者: 媽媽不開心 時間: 2025-3-23 15:39 作者: Infelicity 時間: 2025-3-23 18:04
https://doi.org/10.1007/978-981-19-3032-4hm — take widely different approaches to combine these different portfolio metrics. The results show that the multi-objective algorithms do produce well-balanced portfolio performance, with the constrained fitness function performing much better than the sequential and parallel multi-objective algor作者: conceal 時間: 2025-3-23 22:18
Using Stored Procedures, Views, and Triggersmployed do not always have the semantics needed to make sense of the distinction between occupied and unoccupied terraces. In this paper we focus on the latter reason. Here, GP and CA are used to add semantics to rules to make them more understandable to experts in the area. Future work will examine作者: 平常 時間: 2025-3-24 06:24
Genetic Programming: Theory and Practice,a rigorous, detailed theory that is mature enough to guide the development of GP systems to solve specific problems contributes to this weakness. Thus, there remains an on-going need to both strengthen theory and to keep it closely tied to the practice of GP. The Genetic Programming Theory and Pract作者: 在前面 時間: 2025-3-24 07:08
Better Solutions Faster: Soft Evolution of Robust Regression Models InParetogeneticprogramming, we observed that those evolutions that started from the smallest subset sizes (10%) consistently led to results that are superior in terms of the goodness of fit, consistency between independent runs, and computational effort. Our experience indicates that solutions obtained using this approach are作者: Baffle 時間: 2025-3-24 12:10 作者: 和諧 時間: 2025-3-24 16:12
Towards an Information Theoretic Framework for Genetic Programming,uld be stronger than that of error, improving evolvability. We support these arguments with simulations using a logic function benchmark and a time series application. For a chaotic time series prediction problem, for instance, the proposed approach avoids familiar difficulties (premature convergenc作者: 獎牌 時間: 2025-3-24 20:33
Investigating Problem Hardness of Real Life Applications,apies, maximizing medical success rate and minimizing toxic effects. The experimental results presented in this chapter show that the Negative Slope Coefficient seems to be a reasonable tool to characterize the difficulty of these problems, and can be used to choose the most effective Genetic Progra作者: 意見一致 時間: 2025-3-24 23:16 作者: Palter 時間: 2025-3-25 04:03 作者: habitat 時間: 2025-3-25 11:15
Robust engineering design of electronic circuits with active components using genetic programming a, but seeks to maintain diverse search by using “sustained” evolutionary search processes such as the Hierarchical Fair Competition principle and its derivatives. It uses stochastic setting of parameter values (resistances, capacitances, etc.) as a means of evolving more robust designs. However, in 作者: 古代 時間: 2025-3-25 12:35
Trustable symbolic regression models: using ensembles, interval arithmetic and pareto fronts to devof this approach is that all available data may be used in the model development rather than a partition into training, test and validation subsets. The result is constituent models are more accurate without risk of over-fitting, the ensemble predictions are more accurate and the ensemble prediction作者: 果仁 時間: 2025-3-25 19:45 作者: 玩笑 時間: 2025-3-25 21:20
An Empirical Study of Multi-Objective Algorithms for Stock Ranking,hm — take widely different approaches to combine these different portfolio metrics. The results show that the multi-objective algorithms do produce well-balanced portfolio performance, with the constrained fitness function performing much better than the sequential and parallel multi-objective algor作者: pester 時間: 2025-3-26 00:45
Using GP and Cultural Algorithms to Simulate the Evolution of an Ancient Urban Center,mployed do not always have the semantics needed to make sense of the distinction between occupied and unoccupied terraces. In this paper we focus on the latter reason. Here, GP and CA are used to add semantics to rules to make them more understandable to experts in the area. Future work will examine作者: 都相信我的話 時間: 2025-3-26 05:57 作者: 有毒 時間: 2025-3-26 11:09
https://doi.org/10.1007/978-0-387-76308-8Algorithms; Multi-agent system; artificial intelligence; bioinformatics; circuit design; classification; e作者: 周年紀(jì)念日 時間: 2025-3-26 13:10
Data Acquisition and Preprocessing,ng together practioners and theorists to bridge the gap between what practicioners were doing and what theorists were studying. In the introductory chapter of that volume the authors described Genetic Programming (GP) as “a young art that is just beginning to make its way into applications programmi作者: Hot-Flash 時間: 2025-3-26 17:27
Luise Jacobs,Susanne Hensel-B?rnernging data force us to use symbolic regression via genetic programming (GP) in a highly automated fashion. This is why we want our GP system to produce simple solutions of the highest possible quality with the lowest computational effort, and a high consistency in the results of independent GP runs.作者: 漸變 時間: 2025-3-27 00:51
J. L. Guillerm,B. Gauthier,F. Romanethrough the established evolutionary dynamics. This chapter examines the phenomenon of convergence commonly observed in evolutionary systems before introducing a number of functionally distinct mechanisms are analysed and tested with respect to their ability to modulate the loss of potentially usefu作者: 許可 時間: 2025-3-27 04:35
European Computer Driving Licence for large-scale, time-constrained regression-classification problems. In a previous paper we experimented with large scale symbolic regression. Here we describe in detail the enhancements and techniques employed to support largescale, time—constrained regression and classification. In order to achi作者: Intruder 時間: 2025-3-27 07:36
DBPL: The System and its Environmento biologists. This is partly due to the complexity of the algorithms that limit their ready adoption and integration into an analysis or modeling paradigm that might otherwise only use univariate statistical methods. This is also partly due to the lack of user-friendly, open-source, platform-indepen作者: Asperity 時間: 2025-3-27 11:48
Database Benchmarking and Stress Testingn proceeds, this approach suggests that the mutual information between the target and models should: (i) not decrease in the population; (ii) concentrate in fewer individuals; and (iii) be “distilled” from the inputs, eliminating excess entropy. Normalized information theoretic indices are developed作者: Multiple 時間: 2025-3-27 16:06
Springer Professional Computingalgebraic difficulty indicator. The indicator used is the Negative Slope Coefficient, whose efficacy has been recently empirically demonstrated on a large set of hand-tailored theoretical test functions and well known GP benchmarks. The real-life problems studied belong to the field of Biomedical ap作者: 平淡而無味 時間: 2025-3-27 19:51 作者: cognizant 時間: 2025-3-27 22:18 作者: AMBI 時間: 2025-3-28 05:46 作者: tinnitus 時間: 2025-3-28 08:24
CID: A VLSI Device for Lists Intersectione and passive components. This work has often required large population sizes (on the order of ten thousand) and millions of design evaluations to allow evolution of both the topology and parameters of interesting systems. For several years, the authors have studied the evolution of multi-domain eng作者: 注射器 時間: 2025-3-28 10:26 作者: 現(xiàn)暈光 時間: 2025-3-28 18:20 作者: 因無茶而冷淡 時間: 2025-3-28 20:00 作者: Fecundity 時間: 2025-3-28 23:26
Using Stored Procedures, Views, and Triggersn more interesting to model their origins. Since these emergent centers can be viewed not only as adaptations to their social and biological environments, but also as a source of further change. Thus, the meaning or semantics of an emergent center reflects the processes by which it was formed. In th作者: 立即 時間: 2025-3-29 05:12
978-1-4419-4547-1Springer-Verlag US 2008作者: NATAL 時間: 2025-3-29 08:26
Genetic Programming Theory and Practice V978-0-387-76308-8Series ISSN 1932-0167 Series E-ISSN 1932-0175 作者: 松緊帶 時間: 2025-3-29 13:20
Genetic Programming: Theory and Practice,ng together practioners and theorists to bridge the gap between what practicioners were doing and what theorists were studying. In the introductory chapter of that volume the authors described Genetic Programming (GP) as “a young art that is just beginning to make its way into applications programmi作者: 無能性 時間: 2025-3-29 17:59 作者: FISC 時間: 2025-3-29 22:36
Manipulation of Convergence in Evolutionary Systems,through the established evolutionary dynamics. This chapter examines the phenomenon of convergence commonly observed in evolutionary systems before introducing a number of functionally distinct mechanisms are analysed and tested with respect to their ability to modulate the loss of potentially usefu作者: 時代 時間: 2025-3-30 00:34
Large-Scale, Time-Constrained Symbolic Regression-Classification, for large-scale, time-constrained regression-classification problems. In a previous paper we experimented with large scale symbolic regression. Here we describe in detail the enhancements and techniques employed to support largescale, time—constrained regression and classification. In order to achi作者: committed 時間: 2025-3-30 05:07
Solving Complex Problems in Human Genetics Using Genetic Programming: The Importance of Theorist-Pro biologists. This is partly due to the complexity of the algorithms that limit their ready adoption and integration into an analysis or modeling paradigm that might otherwise only use univariate statistical methods. This is also partly due to the lack of user-friendly, open-source, platform-indepen作者: exclusice 時間: 2025-3-30 10:18
Towards an Information Theoretic Framework for Genetic Programming,n proceeds, this approach suggests that the mutual information between the target and models should: (i) not decrease in the population; (ii) concentrate in fewer individuals; and (iii) be “distilled” from the inputs, eliminating excess entropy. Normalized information theoretic indices are developed作者: Yag-Capsulotomy 時間: 2025-3-30 16:10
Investigating Problem Hardness of Real Life Applications,algebraic difficulty indicator. The indicator used is the Negative Slope Coefficient, whose efficacy has been recently empirically demonstrated on a large set of hand-tailored theoretical test functions and well known GP benchmarks. The real-life problems studied belong to the field of Biomedical ap作者: 包租車船 時間: 2025-3-30 19:12 作者: 飛來飛去真休 時間: 2025-3-30 21:43
Programstructure-Fitnessdisconnect and Its Impact on Evolution in Genetic Programming,ny cases, the genotype and the phenotype are considered identical in GP since the program representation does not undergo any modification prior to its encounter with “environment” in the form of inputs and a fitness function. However, this view overlooks a key fact: fitness in GP is determined with作者: 思鄉(xiāng)病 時間: 2025-3-31 00:54
Genetic Programmingwith Reuse of Known Designs for Industrially Scalable, Novel Circuit Design,issues for synthesized designs, for genetic programming applied to automated structural design. Furthermore, it uses trustworthiness tradeoffs to handle addition of novelty in a trackable fashion. It uses a multi-objective algorithm with an age-layered population structure to avoid premature converg
