標(biāo)題: Titlebook: Evolutionary Algorithms in Engineering Applications; Dipankar Dasgupta,Zbigniew Michalewicz Book 1997 Springer-Verlag Berlin Heidelberg 19 [打印本頁] 作者: 富裕 時間: 2025-3-21 20:06
書目名稱Evolutionary Algorithms in Engineering Applications影響因子(影響力)
書目名稱Evolutionary Algorithms in Engineering Applications影響因子(影響力)學(xué)科排名
書目名稱Evolutionary Algorithms in Engineering Applications網(wǎng)絡(luò)公開度
書目名稱Evolutionary Algorithms in Engineering Applications網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Evolutionary Algorithms in Engineering Applications被引頻次
書目名稱Evolutionary Algorithms in Engineering Applications被引頻次學(xué)科排名
書目名稱Evolutionary Algorithms in Engineering Applications年度引用
書目名稱Evolutionary Algorithms in Engineering Applications年度引用學(xué)科排名
書目名稱Evolutionary Algorithms in Engineering Applications讀者反饋
書目名稱Evolutionary Algorithms in Engineering Applications讀者反饋學(xué)科排名
作者: 逃避系列單詞 時間: 2025-3-21 21:54 作者: 最低點 時間: 2025-3-22 01:22 作者: indices 時間: 2025-3-22 05:06
The Generation of Form Using an Evolutionary Approach chromosomes which comprise genes representing design grammar rules. Evaluation is carried out both through the use of a fitness function and through human interaction. The concepts are exemplified in the context of the design of house plans.作者: Haphazard 時間: 2025-3-22 09:33
A Genetic Algorithm Approach for River Managements the use of an accurate system model while retaining powerful search capabilities. The effectiveness of this approach is demonstrated by the results of its application to a complex hydraulic/economic problem based on the Rio Grande Project in southern New Mexico.作者: JUST 時間: 2025-3-22 15:07
The Identification and Characterization of Workload Classesthe workload of computer systems. The GA identifies both the number of workload classes and the class centroids. The proposed new technique appears to outperform K-means clustering, an accepted workload characterization technique.作者: JUST 時間: 2025-3-22 17:42
Genetic Engineering and Design Problemstional process. We apply it to the solution of a spatial layout planning problem as an example of an NP-complete problem and to case-based layout design as an example of a class of problem which cannot be solved directly using traditional genetic algorithms.作者: CLIFF 時間: 2025-3-22 21:23
Gate-Level Evolvable Hardware: Empirical Study and Applicationd by genetic algorithms (GA). This paper describes the fundamental principle of the gate-level EHW and its improvement by the MDL-based fitness evaluation. The effectiveness of our approach is shown by comparative experiments and a successful application. We also discuss the current extension of EHW and related works.作者: 墊子 時間: 2025-3-23 02:03 作者: 別名 時間: 2025-3-23 09:09 作者: 小說 時間: 2025-3-23 10:15
https://doi.org/10.1007/978-3-658-28496-1possible to reduce the cost of the optimization by specializing the evolutionary algorithm. An efficient evolutionary optimization method is first developed for computationally inexpensive plate problems. Those results are then extended to more complex composite structures design problems.作者: canvass 時間: 2025-3-23 17:11
,Die Erziehung in deutschen Kinderg?rten,gies, of which genetics-based methodologies are a particularly interesting subset. This chapter briefly outlines the generic process employed by genetics-based design methodologies and the particular methodology employed for illustration. The remainder of the chapter explores some of the hazards associated with these methodologies.作者: 挑剔為人 時間: 2025-3-23 20:33 作者: 警告 時間: 2025-3-24 02:00
Rainer Kokemohr,Hans-Christoph Koller a suitable approach to solve this problem. Performance of the algorithm is tested using multiple data sets on different system platforms. The new method holds promise in providing suitable solutions for this problem.作者: 冷淡周邊 時間: 2025-3-24 02:58
Book 1997 because they are simple, easy to interface, and easy to extend. This volume is concerned with applications of evolutionary algorithms and associated strategies in engineering. It will be useful for engineers, designers, developers, and researchers in any scientific discipline interested in the appl作者: 相同 時間: 2025-3-24 07:47
appealing because they are simple, easy to interface, and easy to extend. This volume is concerned with applications of evolutionary algorithms and associated strategies in engineering. It will be useful for engineers, designers, developers, and researchers in any scientific discipline interested i作者: LOPE 時間: 2025-3-24 10:47 作者: FOLLY 時間: 2025-3-24 18:35
Mandy Falkenreck,Christian Reutlingerd by genetic algorithms (GA). This paper describes the fundamental principle of the gate-level EHW and its improvement by the MDL-based fitness evaluation. The effectiveness of our approach is shown by comparative experiments and a successful application. We also discuss the current extension of EHW and related works.作者: 駭人 時間: 2025-3-24 19:12 作者: Myofibrils 時間: 2025-3-25 00:31 作者: Incorruptible 時間: 2025-3-25 06:21
application areas in different fields of engineering. Each chapter can be used for self-study or as a reference by practitioners to help them apply evolutionary algorithms to problems in their engineering domains.978-3-642-08282-5978-3-662-03423-1作者: Clinch 時間: 2025-3-25 08:46 作者: 使成核 時間: 2025-3-25 12:41
https://doi.org/10.1007/978-3-658-27039-1lso serve as the initial points for more traditional gradient methods. The experiments indicate that the proposed method has the potential to solve a wide range of inverse structural identification problems in a systematic and robust way.作者: kindred 時間: 2025-3-25 19:14
https://doi.org/10.1007/978-3-658-05203-4workstation for incorporation into the genetic algorithm. Using this approach, we are able to automatically generate new scheduling algorithms in a relatively short period of time that produce good performance when subsequently executing similar types of parallel application programs on a shared-memory multiprocessor system.作者: Substance-Abuse 時間: 2025-3-25 23:03
Interdisziplin?re Diskursforschungt space. We present experimental results on a series of artificial problems of varying complexity. PLEASE performs competitively with several nearest neighbor classification algorithms and C4.5 on the problem set.We provide an analysis of the strengths and weaknesses of the current system.作者: 駭人 時間: 2025-3-26 03:36
Evolutionary Algorithms — An Overvieweering for solving complex problems. An important goal of research on evolutionary algorithms is to understand the class of problems for which EAs are most suited, and, in particular, the class of problems on which they outperform other search algorithms.作者: 夜晚 時間: 2025-3-26 04:45
Flaw Detection and Configuration with Genetic Algorithmslso serve as the initial points for more traditional gradient methods. The experiments indicate that the proposed method has the potential to solve a wide range of inverse structural identification problems in a systematic and robust way.作者: Peculate 時間: 2025-3-26 12:10 作者: 革新 時間: 2025-3-26 14:37
Prototype Based Supervised Concept Learning Using Genetic Algorithmst space. We present experimental results on a series of artificial problems of varying complexity. PLEASE performs competitively with several nearest neighbor classification algorithms and C4.5 on the problem set.We provide an analysis of the strengths and weaknesses of the current system.作者: inflate 時間: 2025-3-26 17:54 作者: NUL 時間: 2025-3-27 00:19
Evolutionary Optimization of Composite Structurespossible to reduce the cost of the optimization by specializing the evolutionary algorithm. An efficient evolutionary optimization method is first developed for computationally inexpensive plate problems. Those results are then extended to more complex composite structures design problems.作者: Humble 時間: 2025-3-27 05:12 作者: patella 時間: 2025-3-27 08:23 作者: 改革運動 時間: 2025-3-27 12:36 作者: 生意行為 時間: 2025-3-27 16:28
Evolutionary Algorithms — An Overviewgenetic inheritance and Darwinian strife for survival, constitute an interesting category of modern heuristic search. This introductory article presents the main paradigms of evolutionary algorithms (genetic algorithms, evolution strategies, evolutionary programming, genetic programming) and discuss作者: 嘲笑 時間: 2025-3-27 21:34 作者: 譏諷 時間: 2025-3-27 22:01 作者: 碳水化合物 時間: 2025-3-28 04:21
The Generation of Form Using an Evolutionary Approachnerate-and-test approach in design and is especially suited to non-routine design situations where the (inter)relationships between complex arrangements of elements and their behaviour are not known. The evolutionary approach is used as the computational method for the synthesis and evaluation stage作者: 阻擋 時間: 2025-3-28 07:22
Evolutionary Optimization of Composite Structurese particularly well suited for this kind of problems, because they can handle discrete variables, and yield many optimal or near-optimal solutions. The designer will then have a choice among various solutions. Nevertheless, evolutionary techniques are limited by their high computational cost. It is 作者: 發(fā)展 時間: 2025-3-28 11:00 作者: 夜晚 時間: 2025-3-28 16:16
A Genetic Algorithm Approach for River Managementution of such problems requires both a detailed model of the system and a powerful optimization technique. Standard approaches often represent a trade-off between model accuracy and optimization capability. When a large system is modeled in detail, optimization techniques such as dynamic programming作者: restrain 時間: 2025-3-28 20:51 作者: 顯赫的人 時間: 2025-3-29 02:52
The Identification and Characterization of Workload Classesew bridge design, what would be the effect of 10 large trucks simultaneously crossing the bridge? Or, for an existing parallel computer system, what would be the expected response time if three processors failed simultaneously? To be able to answer such performance prediction questions, an engineer 作者: 罐里有戒指 時間: 2025-3-29 06:22
Lossless and Lossy Data Compression[7, 14, 15]. Lossless compression is used where perfect reproduction is required while lossy compression is used where perfect reproduction is not possible or requires too many bits. Achieving optimal compression with respect to resource constraints is a difficult problem. For instance, in lossless 作者: 空氣 時間: 2025-3-29 07:40
Database Design with Genetic Algorithmsd the system load is equitably distributed among all locations. This problem is called the File Design Problem. This problem is NP Hard and requires the optimization over conflicting objectives. A genetic algorithm based on multi niche crowding combines heuristics with parallel processing to provide作者: 烤架 時間: 2025-3-29 13:34
Designing Multiprocessor Scheduling Algorithms Using a Distributed Genetic Algorithm Systemiments. These approaches are usually quite time-consuming and produce only satisfactory solutions. To automate this process, we utilize current techniques in distributed computing, multithreading, and parallel processing to develop a distributed genetic algorithm system that designs new processor sc作者: amnesia 時間: 2025-3-29 18:10 作者: Prophylaxis 時間: 2025-3-29 22:35
Prototyping Intelligent Vehicle Modules Using Evolutionary Algorithmshighlevel task goals with low-level sensor constraints to control simulated and (ultimately) real vehicles like the Carnegie Mellon Navlab robot vans..SAPIENT consists of a number of reasoning modules whose outputs are cornbined using a voting scheme. The behavior of these modules is directly depend作者: 危機 時間: 2025-3-30 00:00 作者: foreign 時間: 2025-3-30 04:26
Physical Design of VLSI Circuits and the Application of Genetic Algorithms today’s sub-micron regimes requiring new physical design algorithms. Genetic algorithms have been increasingly successful when applied in VLSI physical design in the last 10 years. Genetic algorithms for VLSI physical design are reviewed in general. In addition, a specific parallel genetic algorith作者: 問到了燒瓶 時間: 2025-3-30 08:19 作者: FLUSH 時間: 2025-3-30 16:08 作者: 路標(biāo) 時間: 2025-3-30 19:31 作者: Charitable 時間: 2025-3-30 23:07 作者: concise 時間: 2025-3-31 01:03 作者: reserve 時間: 2025-3-31 08:07 作者: Flirtatious 時間: 2025-3-31 11:54
https://doi.org/10.1007/978-3-658-27039-1lems often arise in scientific research and engineering practice. Using a genetic algorithm avoids some of the weaknesses of traditional gradient based analytical search methods including the difficulty in constructing well-defined mathematical models directly from practical inverse problems, and ea
