標(biāo)題: Titlebook: Genetic Programming Theory and Practice; Rick Riolo,Bill Worzel Book 2003 Springer Science+Business Media New York 2003 algorithms.circuit [打印本頁] 作者: grateful 時(shí)間: 2025-3-21 18:00
書目名稱Genetic Programming Theory and Practice影響因子(影響力)
書目名稱Genetic Programming Theory and Practice影響因子(影響力)學(xué)科排名
書目名稱Genetic Programming Theory and Practice網(wǎng)絡(luò)公開度
書目名稱Genetic Programming Theory and Practice網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Genetic Programming Theory and Practice被引頻次
書目名稱Genetic Programming Theory and Practice被引頻次學(xué)科排名
書目名稱Genetic Programming Theory and Practice年度引用
書目名稱Genetic Programming Theory and Practice年度引用學(xué)科排名
書目名稱Genetic Programming Theory and Practice讀者反饋
書目名稱Genetic Programming Theory and Practice讀者反饋學(xué)科排名
作者: 無能性 時(shí)間: 2025-3-21 20:16 作者: 苦惱 時(shí)間: 2025-3-22 00:28 作者: left-ventricle 時(shí)間: 2025-3-22 05:52 作者: comely 時(shí)間: 2025-3-22 11:15 作者: Mendicant 時(shí)間: 2025-3-22 13:34 作者: Mendicant 時(shí)間: 2025-3-22 19:48
A Hybrid GP-Fuzzy Approach for Resevoir Characterization,nference system that gives permeability estimation. We applied this method to five well log data sets. The results show that this hybrid system gives more accurate permeability estimation than other previous works.作者: Diuretic 時(shí)間: 2025-3-23 01:13 作者: 畸形 時(shí)間: 2025-3-23 04:48 作者: Admire 時(shí)間: 2025-3-23 08:05
Data Quality in the Semantic Web,nference system that gives permeability estimation. We applied this method to five well log data sets. The results show that this hybrid system gives more accurate permeability estimation than other previous works.作者: Adulterate 時(shí)間: 2025-3-23 13:04 作者: Adjourn 時(shí)間: 2025-3-23 14:37 作者: correspondent 時(shí)間: 2025-3-23 21:54
Classification of Gene Expression Data with Genetic Programming,d the comparatively small number of samples. These techniques are described and issues of overfitting caused by small sample sizes and the behavior of the GP system when variables are missing from the samples are discussed.作者: concise 時(shí)間: 2025-3-24 00:18 作者: molest 時(shí)間: 2025-3-24 03:33 作者: Nucleate 時(shí)間: 2025-3-24 10:05
What About In-Between DMC Meetings?,Next, we exploit this synergy in order to evolve an OEM pricing strategy in a complex agent-based market environment. The new pricing strategy generated over $2 million dollars in revenue during the assessment period and outperformed the previous optimal strategy.作者: 遷移 時(shí)間: 2025-3-24 10:53 作者: 徹底明白 時(shí)間: 2025-3-24 14:50
Computer Peripherals and Input Devicesat the top of the hierarchy become fixed across a population. We look at the manner in which the population evolves the representation at the same time as optimising the problem, and demonstrate there is a definite emergence of representation.作者: 天氣 時(shí)間: 2025-3-24 19:37 作者: 防水 時(shí)間: 2025-3-25 02:28 作者: 阻撓 時(shí)間: 2025-3-25 03:19 作者: Lumbar-Stenosis 時(shí)間: 2025-3-25 09:29 作者: 食品室 時(shí)間: 2025-3-25 12:24
Doing Genetic Algorithms the Genetic Programming Way,at the top of the hierarchy become fixed across a population. We look at the manner in which the population evolves the representation at the same time as optimising the problem, and demonstrate there is a definite emergence of representation.作者: FELON 時(shí)間: 2025-3-25 18:40
Probabilistic Model Building and Competent Genetic Programming,ic models of promising solutions. The results show that eCGP scales-up polynomially with the problem size (the number of functionals and terminals) on both GP-easy problem and boundedly difficult GP-hard problem.作者: Abjure 時(shí)間: 2025-3-25 23:33
978-1-4613-4747-7Springer Science+Business Media New York 2003作者: avenge 時(shí)間: 2025-3-26 03:33
Genetic Programming Theory and Practice978-1-4419-8983-3Series ISSN 1566-7863 作者: ALLEY 時(shí)間: 2025-3-26 08:12
https://doi.org/10.1007/978-1-4419-8983-3algorithms; circuit design; complex system; evolutionary algorithm; genetic programming; learning; machine作者: 代替 時(shí)間: 2025-3-26 11:18
https://doi.org/10.1007/978-3-319-28709-6process is poorly understood with many serious questions remaining. People applying GP to real-world problems have relied more on intuition than theory, experience more than mathematics. To reach the next stage in its development, GP theory and practice must both advance. Theory must inform practice作者: 發(fā)炎 時(shí)間: 2025-3-26 13:37
https://doi.org/10.1007/978-3-030-54338-9actice (including both applications and technique enhancements) is moving toward biology and that it should continue to do so. It suggests as a consequence that future-oriented genetic programming theory (. theory, developed to help analyze, understand, and predict system behavior) should also borro作者: outset 時(shí)間: 2025-3-26 18:48
Data Modeling of Financial Derivativesdevelopment of new molecular diagnostics. This work focuses on discovering simple, accurate rules that diagnose diseases based on changes of gene expression profiles within a diseased cell. GP is shown to be a useful technique for discovering classification rules in a supervised learning mode where 作者: miracle 時(shí)間: 2025-3-26 23:25 作者: 顛簸下上 時(shí)間: 2025-3-27 04:02 作者: IST 時(shí)間: 2025-3-27 08:37
The Role of ISDN in Data Networking,g to solve?” It specifically describes linkages between content, tree structures, and problem difficulty in genetic programming. It focuses on the significance of structure in influencing problem difficulty.作者: Neolithic 時(shí)間: 2025-3-27 10:30
Scheduling Kernels and Data Movement, algorithms with variable-size structures. In contrast to previous work to reveal its fundamentals, we probabilistically analyze genotype growth by building on the idea of a “representation-less” model by Banzhaf and Langdon. Our model, called the ., corresponds to a simple evolutionary algorithm us作者: fabricate 時(shí)間: 2025-3-27 17:34
James Reinders,Ben Ashbaugh,Xinmin Tianl as for the supply of all schemas in a partition are developed. An estimate for the population size, given the size (or size distribution) of trees, that ensures the presence of all raw building blocks with a given error is derived using these facetwise models. The facetwise models and the populati作者: 蕨類 時(shí)間: 2025-3-27 19:53 作者: ANTIC 時(shí)間: 2025-3-28 00:40 作者: expire 時(shí)間: 2025-3-28 06:01
Computer Peripherals and Input Deviceseen successfully applied to domains such as bit level, sorting and regression problems, and our experience suggests that it evolves individuals with a similar dynamic to Genetic Programming. That is, there is a hierarchy of dependency within the individual, and, as evolution progresses, those parts 作者: 抓住他投降 時(shí)間: 2025-3-28 07:36 作者: neologism 時(shí)間: 2025-3-28 12:54
Robert Walters,Leon Trakman,Bruno Zeller automatically synthesized complex structures that infringe, improve upon, or duplicate the functionality of 21 previously patented inventions (including analog electrical circuits, controllers, and mathematical algorithms). Genetic programming has also generated two patentable new inventions (invol作者: neurologist 時(shí)間: 2025-3-28 16:29
Data Protection in a Post-Pandemic Societying at Dow Chemical. Herein we review the role of symbolic regression within an integrated empirical modeling methodology, discuss symbolic regression system design issues, best practices and lessons learned from industrial application, and present future directions for research and application作者: Thymus 時(shí)間: 2025-3-28 21:34 作者: 廢止 時(shí)間: 2025-3-29 02:44 作者: 腐爛 時(shí)間: 2025-3-29 05:31
https://doi.org/10.1007/0-387-69505-2lopment in this area. This research exploits a cutting edge quantitative technique-genetic programming, to greatly enhance factor selection and explore nonlinear factor combination. The model developed using the genetic programming process is proven to be powerful, intuitive, robust and consistent.作者: 宴會(huì) 時(shí)間: 2025-3-29 11:09
Data Quality for Decision Makersesearch findings for inspiration. However, an over enthusiastic ‘biology envy’ can only be to the detriment of both disciplines by masking the broader potential for two-way intellectual traffic of shared insights and analogizing from one another. Three fundamental features of biological evolution il作者: 瑣碎 時(shí)間: 2025-3-29 15:29
https://doi.org/10.1007/978-3-319-28709-6process is poorly understood with many serious questions remaining. People applying GP to real-world problems have relied more on intuition than theory, experience more than mathematics. To reach the next stage in its development, GP theory and practice must both advance. Theory must inform practice and practice must test theory.作者: 縮短 時(shí)間: 2025-3-29 19:03 作者: Obstacle 時(shí)間: 2025-3-29 20:45 作者: 賄賂 時(shí)間: 2025-3-30 03:25
Data Protection in a Post-Pandemic Societying at Dow Chemical. Herein we review the role of symbolic regression within an integrated empirical modeling methodology, discuss symbolic regression system design issues, best practices and lessons learned from industrial application, and present future directions for research and application作者: custody 時(shí)間: 2025-3-30 05:33 作者: Somber 時(shí)間: 2025-3-30 12:09 作者: 阻礙 時(shí)間: 2025-3-30 15:06
What Makes a Problem GP-Hard?,g to solve?” It specifically describes linkages between content, tree structures, and problem difficulty in genetic programming. It focuses on the significance of structure in influencing problem difficulty.作者: FOLD 時(shí)間: 2025-3-30 19:15 作者: UTTER 時(shí)間: 2025-3-31 00:16
Industrial Strength Genetic Programming,ing at Dow Chemical. Herein we review the role of symbolic regression within an integrated empirical modeling methodology, discuss symbolic regression system design issues, best practices and lessons learned from industrial application, and present future directions for research and application作者: figment 時(shí)間: 2025-3-31 02:01 作者: Aromatic 時(shí)間: 2025-3-31 08:58 作者: brachial-plexus 時(shí)間: 2025-3-31 10:43 作者: nitric-oxide 時(shí)間: 2025-3-31 15:56 作者: 反話 時(shí)間: 2025-3-31 20:38
A Probabilistic Model of Size Drift,arly in time, and its variation shows the trademark of a .Drift to increasing size manifest s if search biases favor boundary conditions. We present experimental results with both the implementation of the theoretical model and a standard genetic programming algorithm. Statistical results with the t作者: Counteract 時(shí)間: 2025-3-31 21:43 作者: 沙文主義 時(shí)間: 2025-4-1 02:01
Book 2003 of human-competitive electronic circuit designs; David Goldberg‘s application of "competent GA" methodology to GP; Jason Daida‘s discovery of a new set of factors underlying the dynamics of GP starting from applied research; and Stephen Freeland‘s essay on the lessons of biology for GP and the potential impact of GP on evolutionary theory. .
