標題: Titlebook: General-Purpose Optimization Through Information Maximization; Alan J. Lockett Book 2020 Springer-Verlag GmbH Germany, part of Springer Na [打印本頁] 作者: 相似 時間: 2025-3-21 17:33
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書目名稱General-Purpose Optimization Through Information Maximization被引頻次
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書目名稱General-Purpose Optimization Through Information Maximization讀者反饋學(xué)科排名
作者: 浮夸 時間: 2025-3-21 22:04
Book 2020d analyzed using techniques of functionalanalysis. The core ideas of this book expand from that concept, eventually incorporating all iterative stochastic search methods, including gradient-based methods. Inspired by work on Randomized Search Heuristics, the author covers all iterative optimization 作者: CLAP 時間: 2025-3-22 02:23 作者: 人造 時間: 2025-3-22 05:01 作者: 斗爭 時間: 2025-3-22 12:38
General-Purpose Optimization Through Information Maximization978-3-662-62007-6Series ISSN 1619-7127 Series E-ISSN 2627-6461 作者: irritation 時間: 2025-3-22 13:33
Computer Network Architectures and Protocolsodern age without the aid of a digital machine. One fascinating aspect of this observation is that these discrete programs are commonly used to simulate phenomena whose mathematical formulation is based on continuous spaces.作者: irritation 時間: 2025-3-22 21:02
https://doi.org/10.1007/978-1-4613-0809-6computer, however, analytic solutions and fast-converging iterative methods were the only practical means of performing optimization. The introduction and proliferation of computing technologies widened both the scope and the number of optimization problems.作者: 無脊椎 時間: 2025-3-22 22:37 作者: 商談 時間: 2025-3-23 04:43 作者: 宣傳 時間: 2025-3-23 08:34
Introduction,odern age without the aid of a digital machine. One fascinating aspect of this observation is that these discrete programs are commonly used to simulate phenomena whose mathematical formulation is based on continuous spaces.作者: OFF 時間: 2025-3-23 12:47
Review of Optimization Methods,computer, however, analytic solutions and fast-converging iterative methods were the only practical means of performing optimization. The introduction and proliferation of computing technologies widened both the scope and the number of optimization problems.作者: 美食家 時間: 2025-3-23 17:06
Performance Experiments,ese performance criteria on a bank of standard optimizers and objectives. The complete results are provided for reference in tabular form in Appendix A. They are summarized and discussed below. In addition, the theoretical continuity of performance criteria is illustrated through several examples作者: 遭遇 時間: 2025-3-23 20:48
The Information Maximization Principle,n-. fitnesses can be exploited to optimize over search methods. First, we introduce fitness measures with some degree of predictability, emphasizing that such fitness measures can cover a wide range of settings for search and optimization.作者: 支架 時間: 2025-3-23 23:04
https://doi.org/10.1007/978-3-662-62007-6Artificial Intelligence; Neuroevolution; Information Maximization; Optimization; Evolutionary Annealing; 作者: 結(jié)合 時間: 2025-3-24 05:47 作者: 分貝 時間: 2025-3-24 10:24 作者: indignant 時間: 2025-3-24 14:04 作者: confide 時間: 2025-3-24 16:09 作者: 公理 時間: 2025-3-24 22:03 作者: Essential 時間: 2025-3-25 00:08
Computer Networks / Computernetzeverning those decisions will result in correspondingly small changes to the iterates of the process. The search generators introduced in Definition 4.6 represent how an iterative search process chooses the next point stochastically based on the prior search history. The concept that there can be arb作者: Debark 時間: 2025-3-25 03:28
Grundlagen der Informationstechnik,k-box property, the Markov property, and the convolution operator. In the next few chapters, the pursuit of a formal theory of these objects is paused in order to demonstrate the applicability of these objects and properties to common search methods, from simulated annealing to differential evolutio作者: gusher 時間: 2025-3-25 10:20 作者: COM 時間: 2025-3-25 13:33 作者: 勤勞 時間: 2025-3-25 18:25 作者: KIN 時間: 2025-3-25 22:55 作者: entitle 時間: 2025-3-26 00:49 作者: Notify 時間: 2025-3-26 08:08 作者: 吞噬 時間: 2025-3-26 11:46
Einleitung und theoretische Grundlagen,ted as mathematical objects. In this context, the main contributions of this book are (1) the formalization of iterative stochastic optimization methods leading to theoretical results such as the No Free Lunch Identification Theorems and the Information- Maximization Principle, including the introdu作者: 愚蠢人 時間: 2025-3-26 14:47 作者: Inordinate 時間: 2025-3-26 18:50
Artwork Creation and Drawing Tips,In Chapter 13, an optimization method was shown to achieve its best performance on a given problem by making full use of the information about the objective function obtained from function evaluations, and martingale optimizers were proposed as a consequence.作者: Chivalrous 時間: 2025-3-26 21:25 作者: Fibrin 時間: 2025-3-27 03:17
CCU Predictive Instrument (CCU)Euclidean space to demonstrate that an information maximizing approach to optimization is both feasible and effective. An important feature of evolutionary annealing is that it can be applied to any measurable space.作者: 使熄滅 時間: 2025-3-27 05:32 作者: Hallowed 時間: 2025-3-27 11:06
The Evolutionary Annealing Method,In Chapter 13, an optimization method was shown to achieve its best performance on a given problem by making full use of the information about the objective function obtained from function evaluations, and martingale optimizers were proposed as a consequence.作者: osteopath 時間: 2025-3-27 14:56
Evolutionary Annealing in Euclidean Space,Evolutionary annealing was developed in the last chapter as a general-purpose optimization technique. This chapter presents an application of evolutionary annealing to the space of finite real vectors. Experiments are performed to compare real-space evolutionary annealing (REA) on the set of benchmarks and algorithms from Chapter 11.作者: COLON 時間: 2025-3-27 20:40 作者: 團結(jié) 時間: 2025-3-28 00:58 作者: upstart 時間: 2025-3-28 05:38 作者: FLIT 時間: 2025-3-28 06:46
Computer Networks and the Internetn methods may outperform the methods being interpolated. These facts are demonstrated experimentally in Chapter 11. Further, the categories of performance criteria described in this chapter make it possible to identify the conditions under which No Free Lunch theorems hold in infinite-dimensional spaces, to be undertaken in Chapter 12.作者: 功多汁水 時間: 2025-3-28 14:16 作者: ADORE 時間: 2025-3-28 15:46
Optimization in Finite Spaces,erhaps unfamiliar to many students of heuristic-driven optimization, and hence this chapter provides a concrete grounding of the ideas motivating the more abstract formulation to follow in Chapters 6, 8 and 9.作者: chance 時間: 2025-3-28 18:49
Performance Analysis,n methods may outperform the methods being interpolated. These facts are demonstrated experimentally in Chapter 11. Further, the categories of performance criteria described in this chapter make it possible to identify the conditions under which No Free Lunch theorems hold in infinite-dimensional spaces, to be undertaken in Chapter 12.作者: acolyte 時間: 2025-3-29 00:21 作者: APRON 時間: 2025-3-29 06:04 作者: grovel 時間: 2025-3-29 08:46 作者: 招人嫉妒 時間: 2025-3-29 12:48
Search and Optimization in Topological Spaces,te-dimensional; they can vary infinitely in infinitely many aspects. Finite analysis, and even real analysis, does not suffice to study such spaces. Functional analysis is required, which is presently built on the foundation of general topology to supply meaning for terms such as continuity and convergence.作者: Judicious 時間: 2025-3-29 15:54 作者: 我不明白 時間: 2025-3-29 23:01 作者: DEMN 時間: 2025-3-30 02:19
Continuity of Search Generators, with this chapter, analytic tools will now be developed to address these larger question of performance. This chapter focuses on continuity, which was defined in Chapter 5 as a topological concept. Continuity considers the question of whether it is reasonable to assume that the outputs of a function will be similar when the inputs are similar.作者: TRACE 時間: 2025-3-30 05:57
Generating the Optimization Process,e of the totality of decisions made by an optimization method over the course of time. Therefore, the search generators analyzed in the prior chapters must be connected to a method for generating complete history traces over the entire temporal index set.作者: 圖畫文字 時間: 2025-3-30 08:23 作者: Resign 時間: 2025-3-30 12:51 作者: URN 時間: 2025-3-30 17:11 作者: 記憶 時間: 2025-3-30 20:48 作者: legacy 時間: 2025-3-31 02:01
Computer Networks / Computernetze6 represent how an iterative search process chooses the next point stochastically based on the prior search history. The concept that there can be arbitrarily small changes in the probability of each search point suggests that the collection of search generators should form a continuous space.作者: 全部逛商店 時間: 2025-3-31 05:03 作者: bibliophile 時間: 2025-3-31 11:10 作者: Euthyroid 時間: 2025-3-31 15:11
https://doi.org/10.1007/978-1-4612-1164-8e of the totality of decisions made by an optimization method over the course of time. Therefore, the search generators analyzed in the prior chapters must be connected to a method for generating complete history traces over the entire temporal index set.作者: 細胞學(xué) 時間: 2025-3-31 19:24 作者: Inertia 時間: 2025-4-1 00:39
Introduction,odern age without the aid of a digital machine. One fascinating aspect of this observation is that these discrete programs are commonly used to simulate phenomena whose mathematical formulation is based on continuous spaces.作者: 抒情短詩 時間: 2025-4-1 05:25 作者: ambivalence 時間: 2025-4-1 07:31
