作者: 針葉 時(shí)間: 2025-3-21 21:12
Youssef Hamadi,Eric Monfroy,Frédéric SaubionThe contributors are among the leading researchers in the areas of heuristics, optimization, evolutionary computing and constraints.The book will be of benefit to researchers, engineers and postgradua作者: ANIM 時(shí)間: 2025-3-22 00:50 作者: 厭倦嗎你 時(shí)間: 2025-3-22 05:04 作者: nettle 時(shí)間: 2025-3-22 11:11 作者: 嘲笑 時(shí)間: 2025-3-22 13:41 作者: 遺傳 時(shí)間: 2025-3-22 19:40 作者: 案發(fā)地點(diǎn) 時(shí)間: 2025-3-23 01:08
Michel Chein,Marie-Laure Mugniertype of parameters used to specify their details. Furthermore, we consider the most important aspects of the parameter tuning problem and give an overview of existing parameter tuning methods. Finally, we elaborate on the methodological issues involved here and provide recommendations for further de作者: 含鐵 時(shí)間: 2025-3-23 02:04
Basic Algorithms for BG Homomorphismigh-performance algorithms for difficult computational problems. This chapter provides an introduction to these techniques and gives an overview of three families of procedures for automatically optimising the performance of parameterised algorithms. Racing procedures iteratively evaluate parameter 作者: Organonitrile 時(shí)間: 2025-3-23 09:00 作者: 容易做 時(shí)間: 2025-3-23 11:45
The BG Family: Facts, Rules and Constraintsl constraint-solving metrics and the potential power available from a mixture of heuristics that references them. It describes a weighted-mixture decision process, and explains how one autonomous learner constructs its own labeled training examples from its search experience, and then learns a weigh作者: 大門(mén)在匯總 時(shí)間: 2025-3-23 17:57
Basic Algorithms for BG Homomorphismeinforcement learning methods for the online tuning of parameters in stochastic local search algorithms. In particular, the reactive tuning is obtained by learning a (near-)optimal policy in a Markov decision process where the states summarize relevant information about the recent history of the sea作者: 門(mén)閂 時(shí)間: 2025-3-23 18:41 作者: Anonymous 時(shí)間: 2025-3-24 01:46
https://doi.org/10.1007/978-1-84800-286-9at is, the variation of parameter settings while solving an instance of a problem. We classify these approaches according to the main classes of online parameter-adaptation techniques. One conclusion of this review is that the available approaches do not exploit an in-depth understanding of the effe作者: 松雞 時(shí)間: 2025-3-24 02:45 作者: 啞劇 時(shí)間: 2025-3-24 09:29
Das Quelltexttransformations- Werkzeug,ng. Indeed, it allows clause sharing between multiple processing units working on related (sub-)problems. However, without limitation, sharing clauses might lead to an exponential blow up in communication or to the sharing of irrelevant clauses. This chapter, proposes new innovative policies to dyna作者: diabetes 時(shí)間: 2025-3-24 11:49 作者: profligate 時(shí)間: 2025-3-24 17:48
Conceptual Graphs with Negation describe more conceptually the concept of Autonomous Search from the previously described related works. The purpose of this book is to provide a clear overview of recent advances in autonomous tools for optimization and constraint satisfaction problems. In order to be as exhaustive as possible, ke作者: 不來(lái) 時(shí)間: 2025-3-24 22:58
Basic Algorithms for BG Homomorphismttings to performance, and use this model to iteratively identify promising settings. We also briefly survey other algorithm configuration and parameter tuning procedures, as well as related approaches, such as instance-based algorithm selection and configuration.作者: 向外供接觸 時(shí)間: 2025-3-25 00:07
Graph-based Knowledge Representationplanning — and domains — from medicine to law to recommender systems — is testimony to its generality. In this chapter, we review the application of CBR to search and especially to constraint solving. We present CPHYDRA, a recent successful application of CBR to autonomous constraint solving. In CPH作者: 全面 時(shí)間: 2025-3-25 06:31 作者: Antecedent 時(shí)間: 2025-3-25 10:38
Book 2012ntrol and supervised control. Autonomous search "crosses the chasm" and provides engineers and practitioners with systems that are able to autonomously self-tune their performance while effectively solving problems. .This is the first book dedicated to this topic, and it can be used as a reference f作者: FAZE 時(shí)間: 2025-3-25 13:40 作者: circumvent 時(shí)間: 2025-3-25 19:13
An Introduction to Autonomous Search, describe more conceptually the concept of Autonomous Search from the previously described related works. The purpose of this book is to provide a clear overview of recent advances in autonomous tools for optimization and constraint satisfaction problems. In order to be as exhaustive as possible, ke作者: FUSE 時(shí)間: 2025-3-25 20:23 作者: 改變立場(chǎng) 時(shí)間: 2025-3-26 01:58 作者: 過(guò)份 時(shí)間: 2025-3-26 05:06 作者: Connotation 時(shí)間: 2025-3-26 11:26
Das Quelltexttransformations- Werkzeug,mically adjust the size of shared clauses between any pair of processing units. The first approach controls the overall number of exchanged clauses whereas the other ones additionally exploit the relevance quality of shared clauses. Extensive experiments show important improvements of the state-of the-art parallel SAT solver.作者: 個(gè)阿姨勾引你 時(shí)間: 2025-3-26 14:18 作者: hypnotic 時(shí)間: 2025-3-26 17:05
https://doi.org/10.1007/978-1-84800-286-9ge about the recent performance of each operator. In this chapter, we present methods for these two complementary aspects of operator control, the . AOS and the . AOM, providing case studies to analyze them in order to highlight the major issues that should be considered for the design of more autonomous Evolutionary Algorithms.作者: 負(fù)擔(dān) 時(shí)間: 2025-3-26 23:13 作者: Thyroid-Gland 時(shí)間: 2025-3-27 04:34
An Investigation of Reinforcement Learning for Reactive Search Optimizationon value in the Reactive Tabu Search, the noise parameter in the Adaptive Walksat, and the smoothing probability in the Reactive Scaling and Probabilistic Smoothing (RSAPS) algorithm. The novel approach is experimentally compared with the original ad hoc. reactive schemes.作者: Albinism 時(shí)間: 2025-3-27 07:48
Adaptive Operator Selection and Management in Evolutionary Algorithmsge about the recent performance of each operator. In this chapter, we present methods for these two complementary aspects of operator control, the . AOS and the . AOM, providing case studies to analyze them in order to highlight the major issues that should be considered for the design of more autonomous Evolutionary Algorithms.作者: 過(guò)于光澤 時(shí)間: 2025-3-27 11:14 作者: 擁護(hù)者 時(shí)間: 2025-3-27 16:06
Book 2012 solve larger problems and address new application domains. They are also more complex which means that they are hard to reproduce and often harder to fine-tune to the peculiarities of a given problem. This last point has created a paradox where efficient tools are out of reach of practitioners..Aut作者: bypass 時(shí)間: 2025-3-27 21:39 作者: maladorit 時(shí)間: 2025-3-27 22:46 作者: 組裝 時(shí)間: 2025-3-28 06:04 作者: phytochemicals 時(shí)間: 2025-3-28 08:56 作者: 貧窮地活 時(shí)間: 2025-3-28 11:22 作者: Osteoporosis 時(shí)間: 2025-3-28 16:05 作者: 真實(shí)的你 時(shí)間: 2025-3-28 20:53
An Introduction to Autonomous Search,rtunities. It corresponds to a particular case of adaptive systems, with the objective of improving its problem-solving performance by adapting its search strategy to the problem at hand. Internal components correspond to the various algorithms involved in the search process: heuristics, inference m作者: BAIT 時(shí)間: 2025-3-29 02:27
Evolutionary Algorithm Parameters and Methods to Tune Themtype of parameters used to specify their details. Furthermore, we consider the most important aspects of the parameter tuning problem and give an overview of existing parameter tuning methods. Finally, we elaborate on the methodological issues involved here and provide recommendations for further de作者: Obligatory 時(shí)間: 2025-3-29 04:34 作者: 不滿(mǎn)分子 時(shí)間: 2025-3-29 07:26
Case-Based Reasoning for Autonomous Constraint Solvingthe past, and we modify the past solutions to fit the circumstances of the new problem..Within Artificial Intelligence (AI), the idea that we can solve problems by recalling and reusing the solutions to similar past problems, rather than reasoning ‘from scratch’, underlies Case-Based Reasoning (CBR)作者: indices 時(shí)間: 2025-3-29 15:17 作者: Ligament 時(shí)間: 2025-3-29 19:15
