標題: Titlebook: Computational Intelligence for Optimization; Nirwan Ansari,Edwin Hou Book 1997 Springer Science+Business Media New York 1997 Pattern Match [打印本頁] 作者: sprawl 時間: 2025-3-21 16:04
書目名稱Computational Intelligence for Optimization影響因子(影響力)
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書目名稱Computational Intelligence for Optimization網(wǎng)絡公開度
書目名稱Computational Intelligence for Optimization網(wǎng)絡公開度學科排名
書目名稱Computational Intelligence for Optimization被引頻次
書目名稱Computational Intelligence for Optimization被引頻次學科排名
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書目名稱Computational Intelligence for Optimization年度引用學科排名
書目名稱Computational Intelligence for Optimization讀者反饋
書目名稱Computational Intelligence for Optimization讀者反饋學科排名
作者: 眨眼 時間: 2025-3-21 23:18
Heuristic Search Methods,em solving can be regarded as a systematic process of constructing or searching for a solution. This has led to the development of various search methods for computer problem solving in the artificial intelligence domain [117]. Problems such as puzzles, theorem proving, chess. etc.. can be solved al作者: Minatory 時間: 2025-3-22 01:58 作者: llibretto 時間: 2025-3-22 07:05 作者: calamity 時間: 2025-3-22 09:44 作者: 心胸狹窄 時間: 2025-3-22 14:49 作者: 心胸狹窄 時間: 2025-3-22 17:10
The Traveling Salesman Problem,on of parameters of the Hopfield energy function, Equation (3.22). This chapter examines why the Hopfield net frequently fails to produce valid solutions, and it also provides a remedy and presents comparison studies among different approaches discussed in previous chapters in solving the TSP. The T作者: 上坡 時間: 2025-3-22 23:29
Telecommunications, employed with great success, rapid changes require new approaches that allow for faster and more reliable transmission. Applications of computational intelligence in telecommunications include traffic control in asynchronous transfer mode (ATM) broadband networks, network management, channel equali作者: 感情脆弱 時間: 2025-3-23 04:41
Point Pattern Matching,f the relative distances among a set of static spatial features of an object. These static spatial features are known as the . of the object [17]. For the purpose of recognition, much of the visual data perceived by the human eye is highly redundant. It has been suggested from the viewpoint of the h作者: ENACT 時間: 2025-3-23 08:54 作者: 反對 時間: 2025-3-23 10:03
Job Shop Scheduling,ment (schedule) for a set of jobs to the machines so that the jobs can be completed “optimally.” Each job may consist of several tasks, and each task must be processed on a particular machine. Furthermore, the tasks in each job are subject to precedence constraints. A schedule is, then, an arrangeme作者: 排斥 時間: 2025-3-23 17:16 作者: 左右連貫 時間: 2025-3-23 18:20 作者: Alienated 時間: 2025-3-23 22:28
Mean Field Annealing,be attained. That is, stochastic binary neurons of the stochastic machines are replaced by deterministic continuous ones, and a set of deterministic updating equations are used instead of the stochastic updating process in simulated annealing. Though this approximation method may not guarantee the s作者: 裝勇敢地做 時間: 2025-3-24 02:34
Linear Programming Fundamentalsbe attained. That is, stochastic binary neurons of the stochastic machines are replaced by deterministic continuous ones, and a set of deterministic updating equations are used instead of the stochastic updating process in simulated annealing. Though this approximation method may not guarantee the s作者: 集聚成團 時間: 2025-3-24 08:45
SIMUS Applied to Quantify SWOT Strategies space, . is the cost function, and . is the set of constraints. Various optimization problems can be categorized based on the characteristics of ., ., and .. If . and . are linear functions, then Equation (1.1) describes a linear optimization problem which can be readily solved. Otherwise, Equation作者: 易怒 時間: 2025-3-24 14:29
How to Shape Multiple Scenariosem solving can be regarded as a systematic process of constructing or searching for a solution. This has led to the development of various search methods for computer problem solving in the artificial intelligence domain [117]. Problems such as puzzles, theorem proving, chess. etc.. can be solved al作者: Plaque 時間: 2025-3-24 16:10
Linear Programming Fundamentalsutational properties [84], [85]. Hopfield networks can be used as associative memories for information storage and retrieval, and to solve combinatorial optimization problems. They belong to the class of recurrent neural networks [75], that is, outputs of a neural network are fed back to inputs of p作者: 先驅(qū) 時間: 2025-3-24 19:52
How to Shape Multiple Scenarios108], simulated annealing has been embraced as’ the “savior” for solving many difficult combinatorial optimization problems, and has been applied to many areas such as computer-aided design of very large scale integrated (VLSI) circuits [100], [146], [164], image processing and computer vision [18],作者: 改正 時間: 2025-3-25 03:15 作者: 牛的細微差別 時間: 2025-3-25 04:19
How to Shape Multiple Scenariosiversity of Michigan, the original goals were to study the adaptive behavior of natural systems and to design software systems with adaptive behavior. Recently, genetic algorithms have received growing interests as an effective tool in problem solving and optimization [30], [64], [67], [143].作者: homeostasis 時間: 2025-3-25 07:35 作者: 蝕刻 時間: 2025-3-25 12:50 作者: sed-rate 時間: 2025-3-25 17:21
Linear Programming Fundamentalsf the relative distances among a set of static spatial features of an object. These static spatial features are known as the . of the object [17]. For the purpose of recognition, much of the visual data perceived by the human eye is highly redundant. It has been suggested from the viewpoint of the h作者: Admonish 時間: 2025-3-25 23:36 作者: 有效 時間: 2025-3-26 02:41
Strategic Blueprint for Enterprise Analyticsment (schedule) for a set of jobs to the machines so that the jobs can be completed “optimally.” Each job may consist of several tasks, and each task must be processed on a particular machine. Furthermore, the tasks in each job are subject to precedence constraints. A schedule is, then, an arrangeme作者: anagen 時間: 2025-3-26 07:58
https://doi.org/10.1007/978-1-4615-6331-0Pattern Matching; algorithms; communication; computational intelligence; genetic algorithm; genetic algor作者: harmony 時間: 2025-3-26 09:16 作者: Heresy 時間: 2025-3-26 15:02 作者: 小步舞 時間: 2025-3-26 18:19
How to Shape Multiple Scenariosiversity of Michigan, the original goals were to study the adaptive behavior of natural systems and to design software systems with adaptive behavior. Recently, genetic algorithms have received growing interests as an effective tool in problem solving and optimization [30], [64], [67], [143].作者: 最低點 時間: 2025-3-26 21:43 作者: Insatiable 時間: 2025-3-27 02:11
SIMUS Applied to Quantify SWOT Strategies25] where the optimal solution can be found in a finite number of steps. However, many optimization problems encountered in engineering and other fields, such as the traveling salesman problem (TSP), various scheduling problems, etc., belong to a class of “difficult to solve” problems where deterministic algorithms are not applicable.作者: Little 時間: 2025-3-27 06:42
Linear Programming Fundamentalsvation potentials) to each respective neuron of the network, .. denotes the connection weight between the output of the .th neuron and the input to the .th neuron, .. = .., .. = 0, and ζ(?) is a nonlinear function which is either a hardlimiter or a sigmoid function.作者: 野蠻 時間: 2025-3-27 10:32
How to Shape Multiple Scenariosng concept to neural networks. This chapter provides an overview on simulated annealing and the derivation of various stochastic machines. Key properties of simulated annealing are highlighted, and readers are referred to [2], [58], [59], [123], [163], for further detailed analyses.作者: tenuous 時間: 2025-3-27 14:10
Linear Programming Fundamentalsdata throughput in an integrated communications system [166], rather than to cover a colossal array of applications reported in the literature [1], [14], [15], [28], [38], [40], [41], [42], [47], [69], [74], [78], [79], [111], [113], [114], [121], [126], [147], [151], [160], [165], [167], [175].作者: SPECT 時間: 2025-3-27 18:10
Introduction,25] where the optimal solution can be found in a finite number of steps. However, many optimization problems encountered in engineering and other fields, such as the traveling salesman problem (TSP), various scheduling problems, etc., belong to a class of “difficult to solve” problems where deterministic algorithms are not applicable.作者: 噴油井 時間: 2025-3-28 00:50 作者: AV-node 時間: 2025-3-28 05:08 作者: 獨特性 時間: 2025-3-28 07:04 作者: 坦白 時間: 2025-3-28 11:01
Book 1997sable tool for many practitioners in various fields. Conventional optimization techniques have been well established and widely published in many excellent textbooks. However, there are new techniques, such as neural networks, simulated anneal- ing, stochastic machines, mean field theory, and geneti作者: tooth-decay 時間: 2025-3-28 17:38
n indispensable tool for many practitioners in various fields. Conventional optimization techniques have been well established and widely published in many excellent textbooks. However, there are new techniques, such as neural networks, simulated anneal- ing, stochastic machines, mean field theory, 作者: 極肥胖 時間: 2025-3-28 20:44
https://doi.org/10.1007/978-3-030-02726-1ons, and it also provides a remedy and presents comparison studies among different approaches discussed in previous chapters in solving the TSP. The TSP is singled out for comparison because it is a well-known, important, .-complete problem that has many potential applications and has been benchmarked by many researchers.作者: 我要威脅 時間: 2025-3-29 00:51 作者: 革新 時間: 2025-3-29 06:32
How to Shape Multiple Scenariosbeit not very efficiently in some cases, by computer programs. Typically, the search procedure involves examining the search space, evaluating various alternative paths that have the potential of leading to a solution, and keeping a record of the various paths that the search has considered.作者: nutrition 時間: 2025-3-29 09:06
Linear Programming Fundamentalsuman visual system that some dominant points along an object contour are rich in information content and sufficient to characterize the shape of the object. Thus, point pattern matching (.),wherein points are used as shape features, is a crucial vision task.作者: 確定方向 時間: 2025-3-29 12:17
Strategic Approaches to Energy Managementthe task processing time, and the chosen performance criteria. In general, the multiprocessor scheduling problem (MSP) is intractable even under simplified assumptions [57], and heuristic algorithms have been proposed to obtain optimal and sub-optimal solutions to the MSP.作者: Cholagogue 時間: 2025-3-29 17:07 作者: 嬰兒 時間: 2025-3-29 20:31
Heuristic Search Methods,beit not very efficiently in some cases, by computer programs. Typically, the search procedure involves examining the search space, evaluating various alternative paths that have the potential of leading to a solution, and keeping a record of the various paths that the search has considered.作者: GREG 時間: 2025-3-30 00:53
Point Pattern Matching,uman visual system that some dominant points along an object contour are rich in information content and sufficient to characterize the shape of the object. Thus, point pattern matching (.),wherein points are used as shape features, is a crucial vision task.作者: Oversee 時間: 2025-3-30 07:52 作者: 脆弱吧 時間: 2025-3-30 09:59
Job Shop Scheduling,nt of all tasks on the machines that satisfies the precedence constraints. Usually the number of constraints is very large, which makes JSP one of the hardest combinatorial problems (an .-complete problems, [99] and [57]. The flow shop problem (FSP), a much restricted version of JSP, can be reduced to the traveling salesman problem (TSP) [137].
