標(biāo)題: Titlebook: Genetic Programming; 18th European Confer Penousal Machado,Malcolm I. Heywood,Kevin Sim Conference proceedings 2015 Springer International [打印本頁] 作者: papyrus 時間: 2025-3-21 19:39
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: FAWN 時間: 2025-3-21 22:46 作者: 動脈 時間: 2025-3-22 03:39 作者: agonist 時間: 2025-3-22 06:19 作者: Adenocarcinoma 時間: 2025-3-22 09:20
Automatic Derivation of Search Objectives for Test-Based Genetic Programmingpassed. We posit that scrutinizing the outcomes of programs’ interactions with individual tests may help making program synthesis more effective. To this aim, we propose DOC, a method that autonomously derives new search objectives by clustering the outcomes of interactions between programs in the p作者: insecticide 時間: 2025-3-22 15:39
Evolutionary Design of Transistor Level Digital Circuits Using Discrete Simulationder to improve the time consuming evaluation of candidate solutions, a discrete event-driven simulator was introduced. The proposed simulator operates on multiple logic levels to achieve reasonable trade-off between performance and precision. A suitable level of abstraction reflecting the behaviour 作者: insecticide 時間: 2025-3-22 20:59 作者: 預(yù)知 時間: 2025-3-23 00:10 作者: 前奏曲 時間: 2025-3-23 03:19
Attributed Grammatical Evolution Using Shared Memory Spaces and Dynamically Typed Semantic Function grammars (AG). We discuss the motivations behind our system design, from its use of shared memory spaces for attribute storage to the use of a dynamically type programming language, Python, to specify grammar semantics..After a brief analysis of some of the existing GE AG system we outline two sets作者: SAGE 時間: 2025-3-23 07:03
Indirectly Encoded Fitness Predictors Coevolved with Cartesian Programsor (TOV) evaluations, needed to obtain a satisfactory solution, to reduce the computational cost of evolution. This paper introduces the use of coevolution of fitness predictors in CGP with a new type of indirectly encoded predictors. Indirectly encoded predictors are operated using the CGP and prov作者: 牲畜欄 時間: 2025-3-23 10:05 作者: 大溝 時間: 2025-3-23 15:03
Cartesian GP in Optimization of Combinational Circuits with Hundreds of Inputs and Thousands of Gatehe goal of the evolutionary circuit optimization is to minimize the number of gates (or other non-functional parameters) of already functional circuit. The method combines a circuit simulation with a formal verification in order to detect the functional inequivalence of the parent and its offspring.作者: ALB 時間: 2025-3-23 21:31
Genetic Programming for Feature Selection and Question-Answer Ranking in IBM Watsonon uses machine learning over a large heterogeneous feature set derived from many distinct natural language processing algorithms to identify correct answers. This paper develops a Genetic Programming (GP) approach for feature selection in Watson by evolving ranking functions to order candidate answ作者: 樂意 時間: 2025-3-24 01:08
Automatic Evolution of Parallel Recursive Programsen require the application of skilled parallelization knowledge to fully realize the potential of the hardware. This paper automates the process by using Grammatical Evolution (GE) to exploit the multi-cores through the evolution of . parallel programs. We present Multi-core Grammatical Evolution (M作者: 不理會 時間: 2025-3-24 05:17 作者: aspect 時間: 2025-3-24 07:42 作者: 能量守恒 時間: 2025-3-24 12:02
T, – A Framework for Template-Method Hyper-Heuristicst discuss the need for such an approach, presenting Quicksort as an example. We provide a functional definition of template-method hyper-heuristics, describe how this is implemented by ., and show how . may be invoked using simple client-code. Finally, we describe experiments using . to define a ‘hy作者: 細(xì)微的差異 時間: 2025-3-24 18:26 作者: Decline 時間: 2025-3-24 19:16 作者: 凹室 時間: 2025-3-25 02:51 作者: Extort 時間: 2025-3-25 04:24
https://doi.org/10.1007/978-3-322-80440-2of extracting text slices that adhere to a syntactic pattern and propose an approach capable of generating the desired pattern automatically, from a few annotated examples. Our approach is based on Genetic Programming and generates extraction patterns in the form of regular expressions that may be i作者: Allege 時間: 2025-3-25 08:09 作者: 消散 時間: 2025-3-25 14:28
China in der internationalen Politik,ng semantics of the programs. The fitness landscape seen by the GSGP variation operators is unimodal with a linear slope by construction and, consequently, easy to search. Despite this advantage, the offspring produced by these operators grow very quickly. A new implementation of the same operators 作者: Toxoid-Vaccines 時間: 2025-3-25 18:36 作者: 爵士樂 時間: 2025-3-25 20:44 作者: Ballad 時間: 2025-3-26 00:13 作者: Cubicle 時間: 2025-3-26 07:21
Schlosserei (mit Klempnerei) und Montage and computational difficulty. This paper considers static JSS problems with makespan minimisation, which are NP-complete for more than two machines. Because finding optimal solutions can be difficult for large problem instances, many heuristic approaches have been proposed in the literature. Howeve作者: 飛行員 時間: 2025-3-26 10:32 作者: 動脈 時間: 2025-3-26 16:33 作者: Offstage 時間: 2025-3-26 19:33 作者: Cumulus 時間: 2025-3-26 21:16 作者: BLAZE 時間: 2025-3-27 05:11
Das psychotherapeutische Gespr?chon uses machine learning over a large heterogeneous feature set derived from many distinct natural language processing algorithms to identify correct answers. This paper develops a Genetic Programming (GP) approach for feature selection in Watson by evolving ranking functions to order candidate answ作者: 猛擊 時間: 2025-3-27 06:06
https://doi.org/10.1007/978-3-322-93468-0en require the application of skilled parallelization knowledge to fully realize the potential of the hardware. This paper automates the process by using Grammatical Evolution (GE) to exploit the multi-cores through the evolution of . parallel programs. We present Multi-core Grammatical Evolution (M作者: fabricate 時間: 2025-3-27 13:03
Der Aufbau der Sende- und Empfangsstation,uide an under development expansion to EASEA/EASEA-CLOUD platforms to evolve partial differential equations as models for a specific system of interest, starting with measures from that system. A simple proof of concept using a dynamic bidirectional surface wave is presented, showing that the propos作者: BIPED 時間: 2025-3-27 16:15
Schatten krummfl?chig begrenzter K?rperers, without them the algorithm would be trivial to break. Therefore, it is not surprising there exist a substantial body of work on the methods of constructing Boolean functions. Among those methods, evolutionary computation (EC) techniques play a significant role. Previous works show it is possibl作者: pacific 時間: 2025-3-27 17:53 作者: HAIRY 時間: 2025-3-28 01:58 作者: Picks-Disease 時間: 2025-3-28 04:15
Genetic Programming978-3-319-16501-1Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: Ornithologist 時間: 2025-3-28 07:00
opulation and the tests. The derived objectives are subsequently used to drive the selection process in a single- or multiobjective fashion. An extensive experimental assessment on . discrete program synthesis tasks representing two domains shows that DOC significantly outperforms conventional GP and implicit fitness sharing.作者: 航海太平洋 時間: 2025-3-28 14:13 作者: 颶風(fēng) 時間: 2025-3-28 17:28 作者: 爵士樂 時間: 2025-3-28 20:21
Indirectly Encoded Fitness Predictors Coevolved with Cartesian Programside a variable number of TOVs used for solution evaluation during the coevolution. It is shown in 5 symbolic regression problems that the proposed predictors are able to adapt the size of TOVs array in response to a particular training data set.作者: headway 時間: 2025-3-29 02:48
0302-9743 GP 2015, held in Copenhagen, Spain, in April 2015 co-located with the Evo 2015 events, EvoCOP, Evo MUSART and Evo Applications. The 12 revised full papers presented together with 6 poster papers were carefully reviewed and selected form 36 submissions. The wide range of topics in this volume reflect作者: hypertension 時間: 2025-3-29 06:05 作者: palpitate 時間: 2025-3-29 09:51 作者: 小步走路 時間: 2025-3-29 15:24 作者: CHART 時間: 2025-3-29 16:26 作者: Filibuster 時間: 2025-3-29 21:21 作者: 輕信 時間: 2025-3-30 03:54
Gie?erei, einschlie?lich Modelltischlereifter presenting the results of our experiments we highlight some of the potential areas for future performance improvements, using the new functionality that access to Python interpreter and storage of attributes in shared memory space provides.作者: 血統(tǒng) 時間: 2025-3-30 06:52
Soziale Therapie: ein allgemeines Modell, the role of neutral mutations in the context of evolutionary optimization is investigated. In average, the method enabled a 34?% reduction in gate count even if the optimizer was executed only for 15?min.作者: 樸素 時間: 2025-3-30 11:39 作者: 涂掉 時間: 2025-3-30 13:25
Improving Geometric Semantic Genetic Programming with Safe Tree Initialisation, and suggests an alternative approach based on safe initialisation using interval arithmetic to produce offspring. The proposed method demonstrates greater search performance than using a logistic wrapper approach, while maintaining an ability to produce offspring that exhibit good generalisation capabilities.作者: Promotion 時間: 2025-3-30 18:39
Evolutionary Design of Transistor Level Digital Circuits Using Discrete Simulationbasic logic circuits having more than 20 transistors. The goal of an evolutionary algorithm is to design a circuit having the minimal number of transistors and exhibiting the minimal delay. In addition to that, various parameter settings are investigated to increase the success rate of the evolutionary design.作者: 腐敗 時間: 2025-3-30 21:18
Attributed Grammatical Evolution Using Shared Memory Spaces and Dynamically Typed Semantic Function fter presenting the results of our experiments we highlight some of the potential areas for future performance improvements, using the new functionality that access to Python interpreter and storage of attributes in shared memory space provides.作者: Pericarditis 時間: 2025-3-31 03:11 作者: mechanical 時間: 2025-3-31 05:15 作者: mutineer 時間: 2025-3-31 11:58 作者: 含鐵 時間: 2025-3-31 15:13
https://doi.org/10.1007/978-3-531-19516-2our optimized crossover masks yield slightly better results. For SGP practitioners, we suggest the use of the semantic crossover based on the Euclidean distance, as it achieved similar results to those obtained by more complex operators.作者: ornithology 時間: 2025-3-31 18:47
Schlosserei (mit Klempnerei) und Montage evolved heuristics generated by HHs, this paper proposes a new approach where an ensemble of rules are evolved using Genetic Programming (GP) and cooperative coevolution, denoted as Ensemble Genetic Programming for Job Shop Scheduling (EGP-JSS). The results show that EGP-JSS generally produces more robust rules than the single rule GP.作者: 本土 時間: 2025-3-31 22:05
Das psychotherapeutische Gespr?chmparable performances to Watson. This methodology can aid Watson implementers to better identify key components in an otherwise large and complex system for development, troubleshooting, and/or customer or domain-specific enhancements.作者: 壓倒性勝利 時間: 2025-4-1 03:18
The Effect of Distinct Geometric Semantic Crossover Operators in Regression Problemsour optimized crossover masks yield slightly better results. For SGP practitioners, we suggest the use of the semantic crossover based on the Euclidean distance, as it achieved similar results to those obtained by more complex operators.作者: 巨大沒有 時間: 2025-4-1 08:04
Evolving Ensembles of Dispatching Rules Using Genetic Programming for Job Shop Scheduling evolved heuristics generated by HHs, this paper proposes a new approach where an ensemble of rules are evolved using Genetic Programming (GP) and cooperative coevolution, denoted as Ensemble Genetic Programming for Job Shop Scheduling (EGP-JSS). The results show that EGP-JSS generally produces more robust rules than the single rule GP.作者: 四目在模仿 時間: 2025-4-1 10:48
