作者: 言外之意 時(shí)間: 2025-3-21 20:23 作者: beta-cells 時(shí)間: 2025-3-22 01:58
0302-9743 Overview: Includes supplementary material: 978-3-540-41899-3978-3-540-45355-0Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: Toxoid-Vaccines 時(shí)間: 2025-3-22 05:32
https://doi.org/10.1007/3-540-45355-5Adaptive Systems; Evolutionary Computation; Evolutionary Programming; Genetic Algorithms; Genetic Progra作者: 散步 時(shí)間: 2025-3-22 10:31
Julian Miller,Marco Tomassini,William B. LangdonIncludes supplementary material: 作者: 喚醒 時(shí)間: 2025-3-22 15:45 作者: 喚醒 時(shí)間: 2025-3-22 18:45 作者: Glycogen 時(shí)間: 2025-3-23 00:03
Flipperspielen und Lebenskunst,dividual ROCs [.]. As expected in at least some cases better ROCs can be produced. We show genetic programming (GP) can automatically produce a combination of classifiers whose ROC is better than the convex hull of the supplied classifier’s ROCs.作者: 我們的面粉 時(shí)間: 2025-3-23 05:18
https://doi.org/10.1007/978-3-476-03030-6gramming. In this preliminary investigation, we run a series of comparative experiments on a simple test problem. Our results show that the adaptive algorithm is able to outperform its non-adaptive counterpart.作者: 微不足道 時(shí)間: 2025-3-23 08:25
Versicherung und Risikoforschunginvestigates the effect of encapsulating such subtrees by representing them as atoms in the terminal set, so that the subtree evaluations can be exploited as terminal data. The encapsulation scheme is compared against a second scheme which depends on random subtree selection. Empirical results show that both schemes improve upon standard GP.作者: Factorable 時(shí)間: 2025-3-23 10:09 作者: Conspiracy 時(shí)間: 2025-3-23 17:13
CAGE: A Tool for Parallel Genetic Programming Applicationse widespread belief that cellular model is not suitable for parallel genetic programming implementations, experimental results show a better convergence with respect to the island approach, a good scale-up behaviour and a nearly linear speed-up.作者: 值得尊敬 時(shí)間: 2025-3-23 21:45
Evolving Receiver Operating Characteristics for Data Fusiondividual ROCs [.]. As expected in at least some cases better ROCs can be produced. We show genetic programming (GP) can automatically produce a combination of classifiers whose ROC is better than the convex hull of the supplied classifier’s ROCs.作者: Generator 時(shí)間: 2025-3-24 00:54 作者: languor 時(shí)間: 2025-3-24 06:17 作者: 壓倒 時(shí)間: 2025-3-24 10:31 作者: 網(wǎng)絡(luò)添麻煩 時(shí)間: 2025-3-24 12:03
Erratum to: Formeln und Hilfstabellen,stancy and plays an important role in computer vision research. We have used genetic programming to automatically search the space of programs to solve the problem of color constancy for an artificial retina. This retina consists of a two dimensional array of elements each capable of exchanging info作者: 確保 時(shí)間: 2025-3-24 18:12
Hans-Jürgen Wolter,Karin Wolff,Werner Freundgramming algorithm on simple symbolic regression problems. We measure the performance of a standard gp and two variants of saw extensions on two different symbolic regression problems from literature. Also, we propose a model for randomly generating polynomials which we then use to further test all 作者: assail 時(shí)間: 2025-3-24 20:16
Das v?lkerrechtliche Protektoratines genetic optimization and simulation methodology, to evaluate a multi-objective fitness function which includes both the suitability of the filter transfer function and the transition activity of digital blocks. The proper choice of fitness function and selection criteria allows the genetic algo作者: 方便 時(shí)間: 2025-3-25 03:14 作者: Pelvic-Floor 時(shí)間: 2025-3-25 07:14 作者: 傲慢物 時(shí)間: 2025-3-25 09:36
https://doi.org/10.1007/978-3-663-09565-1 to be adept at combining useful building blocks and to outperform engineered crossover operators such as Homologous Crossover. This crossover operator, Ripple Crossover is described in terms of Genetic Programming and applied to two benchmark problems. Its performance is compared with that of tradi作者: 必死 時(shí)間: 2025-3-25 14:24
Flipperspielen und Lebenskunst,dividual ROCs [.]. As expected in at least some cases better ROCs can be produced. We show genetic programming (GP) can automatically produce a combination of classifiers whose ROC is better than the convex hull of the supplied classifier’s ROCs.作者: 疲憊的老馬 時(shí)間: 2025-3-25 19:07
https://doi.org/10.1007/978-3-476-03030-6gramming. In this preliminary investigation, we run a series of comparative experiments on a simple test problem. Our results show that the adaptive algorithm is able to outperform its non-adaptive counterpart.作者: conscribe 時(shí)間: 2025-3-25 20:39 作者: intricacy 時(shí)間: 2025-3-26 02:30 作者: 驕傲 時(shí)間: 2025-3-26 04:53 作者: Morbid 時(shí)間: 2025-3-26 11:02 作者: CRAB 時(shí)間: 2025-3-26 15:23 作者: GLADE 時(shí)間: 2025-3-26 17:45
https://doi.org/10.1007/978-3-7091-9846-9 capability of biosequence recognition using genetic algorithms. We use HIV biosequences as the working example. Experimental results indicate that evolved Turing machines are capable of recognizing HIV biosequences in a collection of training sets. In addition, we demostrate that the evolved Turing作者: Anticlimax 時(shí)間: 2025-3-27 00:56
https://doi.org/10.1007/978-3-476-03309-3 an integer string coding scheme to allow neutrality to be measured during evolution. We tested this method on a Boolean benchmark problem. The experimental results indicate that there is a positive relationship between neutrality and evolvability: .. We also identify four characteristics of adaptiv作者: mitral-valve 時(shí)間: 2025-3-27 02:38 作者: 熔巖 時(shí)間: 2025-3-27 07:55
https://doi.org/10.1007/978-3-642-85337-1ting modules. We propose a novel application of modular robotics: the programmable smart membrane, a device capable of actively filtering objects based on numerous measurable attributes. Creating control software for modular robotic tasks like the smart membrane is one of the central challenges to r作者: Exploit 時(shí)間: 2025-3-27 11:23 作者: FACT 時(shí)間: 2025-3-27 15:09
Me?wertfernübertragung und Stellungsanzeige migration between subpopulations: the number of individuals sent and the frequency of exchange. Our results suggest that fitness evolution is more sensitive to the migration factor than the communication topology.作者: 激勵(lì) 時(shí)間: 2025-3-27 19:52 作者: 反對(duì) 時(shí)間: 2025-3-27 23:23
https://doi.org/10.1007/978-3-476-03309-3mental results indicate that there is a positive relationship between neutrality and evolvability: .. We also identify four characteristics of adaptive/neutral mutations that are associated with high evolvability. They may be the ingredients in designing effective Evolutionary Computation systems for the Boolean class problem.作者: Esalate 時(shí)間: 2025-3-28 05:41 作者: cylinder 時(shí)間: 2025-3-28 08:36 作者: Explicate 時(shí)間: 2025-3-28 12:03 作者: esoteric 時(shí)間: 2025-3-28 17:14 作者: allude 時(shí)間: 2025-3-28 18:53
Ripple Crossover in Genetic Programmingxamining the rate of premature convergence during the run. Ripple crossover produces populations whose fitness increases gradually over time, slower than, but to an eventual higher level than that of sub-tree crossover.作者: AGATE 時(shí)間: 2025-3-29 02:19 作者: ambivalence 時(shí)間: 2025-3-29 03:45
Das ?sterreichische Lebensmittelbuch combined. We apply our GP/ES hybrid, which we name Hierarchical Evolution Strategy, to the problem of evolving affine transformations and iterated function systems (IFS). We compare the results of our approach with GP and notice an improvement in performance in terms of discovering bsetter solutions and speed.作者: HUMID 時(shí)間: 2025-3-29 08:33 作者: 行為 時(shí)間: 2025-3-29 13:39
https://doi.org/10.1007/978-3-642-85337-1ealizing their potential advantages. We use genetic programming to evolve distributed control software for a 2-dimensional smart membrane capable of distinguishing objects based on color. The evolved controllers exhibit scalability to a large number of modules and robustness to the initial configurations of the robotic filter and the particles.作者: 終止 時(shí)間: 2025-3-29 19:23
Evolving Color Constancy for an Artificial Retinarmation with its adjacent neighbors. The task of the program is to compute the intensities of the light illuminating the scene. These intensities are then used to calculate the reflectances of the object. Randomly generated color Mondrians were used as fitness cases. The evolved program was tested on artificial Mondrians and natural images.作者: 談判 時(shí)間: 2025-3-29 21:19
Evolution of Affine Transformations and Iterated Function Systems Using Hierarchical Evolution Strat combined. We apply our GP/ES hybrid, which we name Hierarchical Evolution Strategy, to the problem of evolving affine transformations and iterated function systems (IFS). We compare the results of our approach with GP and notice an improvement in performance in terms of discovering bsetter solutions and speed.作者: 薄荷醇 時(shí)間: 2025-3-30 02:06
Polymorphism and Genetic Programminglts, we conclude that this implementation of polymorphism is effective in assisting GP evolutionary search to generate these two programs. PolyGP may enhance the applicability of GP to a new class of problems that are difficult for other polymorphic GP systems to solve.作者: 跑過 時(shí)間: 2025-3-30 06:54 作者: induct 時(shí)間: 2025-3-30 10:45
Studying the Influence of Communication Topology and Migration on Distributed Genetic Programming migration between subpopulations: the number of individuals sent and the frequency of exchange. Our results suggest that fitness evolution is more sensitive to the migration factor than the communication topology.作者: 簡(jiǎn)略 時(shí)間: 2025-3-30 14:19
Evolving Turing Machines for Biosequence Recognition and Analysisolved Turing machines are capable of recognizing HIV biosequences in a collection of training sets. In addition, we demostrate that the evolved Turing machines can be used to approximate the multiple sequence alignment problem.作者: 起草 時(shí)間: 2025-3-30 19:04
Neutrality and the Evolvability of Boolean Function Landscapemental results indicate that there is a positive relationship between neutrality and evolvability: .. We also identify four characteristics of adaptive/neutral mutations that are associated with high evolvability. They may be the ingredients in designing effective Evolutionary Computation systems for the Boolean class problem.作者: inhibit 時(shí)間: 2025-3-30 22:49 作者: LAVA 時(shí)間: 2025-3-31 04:03 作者: Halfhearted 時(shí)間: 2025-3-31 05:04
https://doi.org/10.1007/978-3-476-99935-1f how average size changes on flat landscapeswith glitches. The latter implies the surprising result that a single program glitch in an otherwise flat fitness landscape is sufficient to drive the average program size of an infinite population, which may have important implications for the control of code growth.作者: HEAVY 時(shí)間: 2025-3-31 11:47 作者: Osteons 時(shí)間: 2025-3-31 14:38
Doppel- und Neu-Ausfertigungen,here for the first time. In the paper we provide examples which show how the theory can be specialised to specific crossover operators and how it can be used to derive an exact definition of effective fitness and a size-evolution equation for GP.作者: adj憂郁的 時(shí)間: 2025-3-31 20:49
Heuristic Learning Based on Genetic Programmingalgorithm works best, i.e. large problem instances where standard evolutionary techniques cannot be applied due to their large runtimes. Our experiments show that we obtain high quality results that outperform previous methods, while keeping the advantage of low runtimes.作者: 預(yù)示 時(shí)間: 2025-4-1 01:19
A Schema Theory Analysis of the Evolution of Size in Genetic Programming with Linear Representationsf how average size changes on flat landscapeswith glitches. The latter implies the surprising result that a single program glitch in an otherwise flat fitness landscape is sufficient to drive the average program size of an infinite population, which may have important implications for the control of code growth.作者: 不能強(qiáng)迫我 時(shí)間: 2025-4-1 02:03 作者: Geyser 時(shí)間: 2025-4-1 07:46 作者: Gentry 時(shí)間: 2025-4-1 10:31
