標(biāo)題: Titlebook: Genetic Programming; 6th European Confere Conor Ryan,Terence Soule,Ernesto Costa Conference proceedings 2003 Springer-Verlag Berlin Heidelb [打印本頁] 作者: 天真無邪 時(shí)間: 2025-3-21 17:46
書目名稱Genetic Programming影響因子(影響力)
書目名稱Genetic Programming影響因子(影響力)學(xué)科排名
書目名稱Genetic Programming網(wǎng)絡(luò)公開度
書目名稱Genetic Programming網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Genetic Programming被引頻次
書目名稱Genetic Programming被引頻次學(xué)科排名
書目名稱Genetic Programming年度引用
書目名稱Genetic Programming年度引用學(xué)科排名
書目名稱Genetic Programming讀者反饋
書目名稱Genetic Programming讀者反饋學(xué)科排名
作者: Cytokines 時(shí)間: 2025-3-21 23:05
Conference proceedings 2003P, focusing on applications of evolutionary algorithms (LNCS 1468, 1596, 1803, 2037, and 2279). This year was no exception and EvoWorkshops 2003, incorporating Evo- BIO, EvoCOP, EvoIASP, EvoMUSART, EvoSTIM and EvoROB, took place at the University of Essex (LNCS 2611). Genetic Programming (GP) is tha作者: hazard 時(shí)間: 2025-3-22 02:33 作者: Enzyme 時(shí)間: 2025-3-22 08:01
0302-9743 2003, incorporating Evo- BIO, EvoCOP, EvoIASP, EvoMUSART, EvoSTIM and EvoROB, took place at the University of Essex (LNCS 2611). Genetic Programming (GP) is tha978-3-540-00971-9978-3-540-36599-0Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 聲音刺耳 時(shí)間: 2025-3-22 11:22
978-3-540-00971-9Springer-Verlag Berlin Heidelberg 2003作者: 撤退 時(shí)間: 2025-3-22 14:27
Genetic Programming978-3-540-36599-0Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 撤退 時(shí)間: 2025-3-22 20:20 作者: 圓桶 時(shí)間: 2025-3-22 22:50 作者: Nefarious 時(shí)間: 2025-3-23 02:56
https://doi.org/10.1007/978-3-531-90659-1 contains several syntactic constraints to be enforced by the system using a disjunctive normal form representation, so that individuals represent valid rule sets that are easy to interpret. The GP is compared with C4.5 in a real-world medical data set. This data set represents a difficult classific作者: 河流 時(shí)間: 2025-3-23 09:35 作者: COMMA 時(shí)間: 2025-3-23 11:47
Die Rolle der politischen Kultur,examine the performance of one type of overfittingavoidance design frequently used in financial applications of GP. Based on the simulation results run with the software Simple GP, we find that this design is not effective in avoiding overfitting. Furthermore, within the range of search intensity ty作者: 減弱不好 時(shí)間: 2025-3-23 16:54
Das politische System Gro?britanniensssible shapes can be created, yet it has to be evolvable. That is, parent and offspring must be related. Small changes to the genotype should lead to small changes of the fitness of an individual. We have explored the use of scene graphs to evolve three-dimensional shapes. Two different scene graph 作者: 要塞 時(shí)間: 2025-3-23 20:31
https://doi.org/10.1007/978-3-658-05291-1different subset of the overall data, then they are combined to classify new tuples by applying a simple majority voting algorithm, like bagging. Preliminary results on a large data set show that the ensemble of classifiers trained on a sample of the data obtains higher accuracy than a single classi作者: gain631 時(shí)間: 2025-3-24 01:05
https://doi.org/10.1007/978-3-531-90248-7odifications of a symbolic regression system can result in greatly improved predictive performance and reliability of the induced expressions. To achieve this, interval arithmetic and linear scaling are used. An experimental section demonstrates the improvements on 15 symbolic regression problems.作者: 聯(lián)想 時(shí)間: 2025-3-24 04:41
https://doi.org/10.1007/978-3-531-90252-4wer architecture continually updates the agent’s knowledge of the world and evokes actions according to teleo-reactive control structures. This paper uses block stacking problems to demonstrate how genetic programming may be used to evolve hierarchical and recursive teleo-reactive programs.作者: 突變 時(shí)間: 2025-3-24 09:46 作者: formula 時(shí)間: 2025-3-24 10:42 作者: abstemious 時(shí)間: 2025-3-24 18:18 作者: 開花期女 時(shí)間: 2025-3-24 22:44
https://doi.org/10.1007/978-3-531-94028-1ports in the literature of evolving general finite state machines, there has been much less work on evolving FSTs. In particular, the fitness functions required for evolving FSTs are generally different to those used for FSMs. This paper considers three string-distance based fitness functions. We co作者: 新義 時(shí)間: 2025-3-25 01:16
Astrid Lorenz,Daniela-Maria Mari?ge of a reduced population size is the reduced number of fitness evaluations necessary. In domains where calculation of fitness values is expensive, this results in a huge speedup of the search. Additionally, in the experiments performed, smaller populations also resulted in a faster convergence spe作者: GLUE 時(shí)間: 2025-3-25 06:34 作者: 罐里有戒指 時(shí)間: 2025-3-25 07:38
Christoph Haferburg,Armin Osmanovichnt-selection (steady-state) GP and show why, in both cases, the measured value of the . often differs from its theoretical counterpart. It is discussed how systematic estimation errors are introduced by a low number of experiments. Two reasons examined are the number of unsuccessful experiments and 作者: 信條 時(shí)間: 2025-3-25 13:30 作者: 固執(zhí)點(diǎn)好 時(shí)間: 2025-3-25 16:41
https://doi.org/10.1007/978-3-322-80391-7niques do not usually take into account ambiguities (i.e. the existence of 2 or more solutions for some or all points in the domain). Nonetheless ambiguities are present in some real world inverse problems, and it is interesting in such cases to provide the user with a choice of possible solutions. 作者: 油氈 時(shí)間: 2025-3-25 22:17
https://doi.org/10.1007/978-3-658-31900-7mpts to preserve similar structures from parents, by aligning them according to their homology, thanks to an algorithm used in Bio-Informatics. To highlight disruptive effects of crossover operators, we introduce the Royal Road landscapes and the Homology Driven Fitness problem, for Linear Genetic P作者: MAOIS 時(shí)間: 2025-3-26 03:07 作者: 宣誓書 時(shí)間: 2025-3-26 06:29
https://doi.org/10.1007/978-3-531-90248-7odifications of a symbolic regression system can result in greatly improved predictive performance and reliability of the induced expressions. To achieve this, interval arithmetic and linear scaling are used. An experimental section demonstrates the improvements on 15 symbolic regression problems.作者: synovitis 時(shí)間: 2025-3-26 11:09 作者: Jargon 時(shí)間: 2025-3-26 15:58 作者: 墻壁 時(shí)間: 2025-3-26 19:59
Improving Symbolic Regression with Interval Arithmetic and Linear Scalingodifications of a symbolic regression system can result in greatly improved predictive performance and reliability of the induced expressions. To achieve this, interval arithmetic and linear scaling are used. An experimental section demonstrates the improvements on 15 symbolic regression problems.作者: panorama 時(shí)間: 2025-3-26 22:50 作者: 因無茶而冷淡 時(shí)間: 2025-3-27 03:36 作者: 遠(yuǎn)足 時(shí)間: 2025-3-27 08:15
Evolving Cellular Automata to Grow Microstructures these properties, which are determined by the internal architecture of the material or microstructure, has significant importance for material scientists. One of the things needed for this study is a tool that can create microstructural patterns. In this paper we explore the use of a genetic algori作者: 我還要背著他 時(shí)間: 2025-3-27 12:51 作者: ensemble 時(shí)間: 2025-3-27 15:44 作者: reperfusion 時(shí)間: 2025-3-27 18:54 作者: Opponent 時(shí)間: 2025-3-27 22:54
Evolutionary Design of Objects Using Scene Graphsssible shapes can be created, yet it has to be evolvable. That is, parent and offspring must be related. Small changes to the genotype should lead to small changes of the fitness of an individual. We have explored the use of scene graphs to evolve three-dimensional shapes. Two different scene graph 作者: Misnomer 時(shí)間: 2025-3-28 03:06
Ensemble Techniques for Parallel Genetic Programming Based Classifiersdifferent subset of the overall data, then they are combined to classify new tuples by applying a simple majority voting algorithm, like bagging. Preliminary results on a large data set show that the ensemble of classifiers trained on a sample of the data obtains higher accuracy than a single classi作者: BET 時(shí)間: 2025-3-28 06:57
Improving Symbolic Regression with Interval Arithmetic and Linear Scalingodifications of a symbolic regression system can result in greatly improved predictive performance and reliability of the induced expressions. To achieve this, interval arithmetic and linear scaling are used. An experimental section demonstrates the improvements on 15 symbolic regression problems.作者: FECT 時(shí)間: 2025-3-28 11:28 作者: Filibuster 時(shí)間: 2025-3-28 16:31 作者: Chivalrous 時(shí)間: 2025-3-28 20:37
Parallel Programs Are More Evolvable than Sequential Programsams running on a .. We carried out a series of experiments on GPP with different number of ALUs. We observed that parallel programs are more evolvable than sequential programs. For example, in the Fibonacci sequence regression experiment, evolving a 1-ALU sequential program requires 51 times on aver作者: arbiter 時(shí)間: 2025-3-28 23:01
Genetic Programming with Meta-search: Searching for a Successful Population within the Classification the case that a number of runs must be performed to ensure that an effective solution is found. This paper introduces several methods which attempt to better utilise the computational resources spent on performing a number of independent GP runs. Termed metasearch strategies, these methods seek to作者: 滔滔不絕的人 時(shí)間: 2025-3-29 04:41 作者: 金哥占卜者 時(shí)間: 2025-3-29 07:37 作者: resuscitation 時(shí)間: 2025-3-29 15:16
How Functional Dependency Adapts to Salience Hierarchy in the GAuGE Systemcess. By specifying both the position and the value of each gene, it has the potential to group important data together in the genotype string, to prevent it from being broken up and disrupted during the evolution process. To test this ability, GAuGE was applied to a set of problems with exponential作者: 草率女 時(shí)間: 2025-3-29 15:41
More on Computational Effort Statistics for Genetic Programmingnt-selection (steady-state) GP and show why, in both cases, the measured value of the . often differs from its theoretical counterpart. It is discussed how systematic estimation errors are introduced by a low number of experiments. Two reasons examined are the number of unsuccessful experiments and 作者: Flustered 時(shí)間: 2025-3-29 20:47
Analysis of a Digit Concatenation Approach to Constant Creationing constants in Grammatical Evolution. Digit concatenation involves creating constants (either whole or real numbers) by concatenating digits to form a single value. The two methods are compared using three different problems, which are finding a static real constant, finding dynamic real constants作者: incredulity 時(shí)間: 2025-3-30 02:16 作者: 提升 時(shí)間: 2025-3-30 06:45
Maximum Homologous Crossover for Linear Genetic Programmingmpts to preserve similar structures from parents, by aligning them according to their homology, thanks to an algorithm used in Bio-Informatics. To highlight disruptive effects of crossover operators, we introduce the Royal Road landscapes and the Homology Driven Fitness problem, for Linear Genetic P作者: AGATE 時(shí)間: 2025-3-30 11:21 作者: 滋養(yǎng) 時(shí)間: 2025-3-30 16:25 作者: ABYSS 時(shí)間: 2025-3-30 19:23
Evolutionary Design of Objects Using Scene Graphs chosen at random, then remain fixed during the run. We also experimented with an evolution strategy to adapt the internal variables. Experimental results are presented for the evolution of a wind turbine. The VRML representation produced better results.作者: chondromalacia 時(shí)間: 2025-3-30 21:03 作者: Jejune 時(shí)間: 2025-3-31 01:03
Gesellschaft und sozialer Wandel,ists. One of the things needed for this study is a tool that can create microstructural patterns. In this paper we explore the use of a genetic algorithm to evolve the rules of an effector automata to recreate these microstructural patterns.作者: 雄偉 時(shí)間: 2025-3-31 07:14
https://doi.org/10.1007/978-3-531-90659-1id rule sets that are easy to interpret. The GP is compared with C4.5 in a real-world medical data set. This data set represents a difficult classification problem, and a new preprocessing method was devised for mining the data.作者: braggadocio 時(shí)間: 2025-3-31 10:16 作者: 觀點(diǎn) 時(shí)間: 2025-3-31 17:05
https://doi.org/10.1007/978-3-658-05291-1iminary results on a large data set show that the ensemble of classifiers trained on a sample of the data obtains higher accuracy than a single classifier that uses the entire data set at a much lower computational cost.作者: cognizant 時(shí)間: 2025-3-31 18:42
https://doi.org/10.1007/978-3-322-98418-0r, thanks to evolved profiling information. Tests on the “Cystic Fibrosis Database” benchmark [.] show that, while suggesting original documents by adaptation of its internal rules to the context of the user, ELISE is able to improve its recall rate.作者: slow-wave-sleep 時(shí)間: 2025-4-1 01:07
Christoph Haferburg,Armin Osmanovichd how systematic estimation errors are introduced by a low number of experiments. Two reasons examined are the number of unsuccessful experiments and the variation in the number of fitness evaluations necessary to find a solution among the successful experiments.作者: Defraud 時(shí)間: 2025-4-1 02:59 作者: brassy 時(shí)間: 2025-4-1 07:58
https://doi.org/10.1007/978-3-658-31900-7hlight disruptive effects of crossover operators, we introduce the Royal Road landscapes and the Homology Driven Fitness problem, for Linear Genetic Programming. Two variants of the new crossover operator are described and tested on this landscapes. Results show a reduction in the bloat phenomenon and in the frequency of deleterious crossovers.作者: commensurate 時(shí)間: 2025-4-1 12:12
Die Rolle der politischen Kultur,serious when the data is generated by a process that has a high degree of algorithmic complexity. This paper, therefore, casts doubt on the conclusions made by those early applications regarding the poor performance of GP, and recommends that changes be made to ensure progress.作者: 同步左右 時(shí)間: 2025-4-1 15:27
Simone M. Thiel M.A.,Wolfgang H. Lorig Dr.on of parallel programs. Due to the accelerating evolution phenomenon of GPP over sequential program evolution, we could increase the normal GP’s evolution efficiency by evolving a parallel program by GPP and if there is a need, the evolved parallel program can be translated into a sequential program so that it can run on conventional hardware.作者: 消息靈通 時(shí)間: 2025-4-1 19:03 作者: 宿醉 時(shí)間: 2025-4-2 01:44
Overfitting or Poor Learning: A Critique of Current Financial Applications of GPserious when the data is generated by a process that has a high degree of algorithmic complexity. This paper, therefore, casts doubt on the conclusions made by those early applications regarding the poor performance of GP, and recommends that changes be made to ensure progress.
