04095nam 2200613 450 991082296170332120230807215536.01-119-13645-81-84821-805-2(CKB)3710000000413218(EBL)1998802(OCoLC)913797618(SSID)ssj0001537650(PQKBManifestationID)11876265(PQKBTitleCode)TC0001537650(PQKBWorkID)11518862(PQKB)10327639(MiAaPQ)EBC1998802(PPN)190451041(Au-PeEL)EBL1998802(CaPaEBR)ebr11053019(CaONFJC)MIL785547(EXLCZ)99371000000041321820150519h20152015 uy 0engur|n|---|||||txtccrGuided randomness in optimization /Maurice ClercLondon, England ;Hoboken, New Jersey :ISTE :Wiley,2015.©20151 online resource (320 p.)Computer Engineering Series. Metaheuristics Set ;Volume 1Description based upon print version of record.1-119-13644-X 1-119-13643-1 Includes bibliographical references and index.""Cover""; ""Title Page""; ""Copyright""; ""Contents""; ""Preface""; ""About this book""; ""Organization of the book""; ""Tools""; ""Key points""; ""Contact the author""; ""Introduction""; ""PART 1: Randomness in Optimization""; ""1: Necessary Risk""; ""1.1. No better than random search""; ""1.1.1. Uniform random search""; ""1.1.2. Sequential search""; ""1.1.3. Partial gradient""; ""1.2. Better or worse than random search""; ""1.2.1. Positive correlation problems""; ""1.2.2. Negative correlation problems""; ""2: Random Number Generators (RNGs)""; ""2.1. Generator types""""3.3. Distribution of the Next Possible Positions (DNPP)""""3.4. Confinement, constraints and repairs""; ""3.4.1. Strict confinement""; ""3.4.2. Random confinement""; ""3.4.3. Moderate confinement""; ""3.4.4. Reverse""; ""3.4.5. Reflection-diffusion""; ""3.5. Strategy selection""; ""PART 2: Optimizer Comparison""; ""Introduction to Part 2""; ""4: Algorithms and Optimizers""; ""4.1. The Minimaliste algorithm""; ""4.1.1. General description""; ""4.1.2. Minimaliste in practice""; ""4.1.3. Use of randomness""; ""4.2. PSO""; ""4.2.1. Description""; ""4.2.2. Use of randomness""; ""4.3. APS""""4.3.1. Description""""4.3.2. Uses of randomness""; ""4.4. Applications of randomness""; ""5: Performance Criteria""; ""5.1. Eff-Res: construction and properties""; ""5.1.1. Simple example using random search""; ""5.2. Criteria and measurements""; ""5.2.1. Objective criteria""; ""5.2.1.1. Result probabilities""; ""5.2.1.2. Effort probabilities""; ""5.2.1.3. Mean result of an effort""; ""5.2.1.4. Median result of an effort""; ""5.2.1.5. Normalized efficiency""; ""5.2.1.6. Mean and median cost""; ""5.2.2. Semi-subjective criteria""; ""5.2.2.1. Fragmentation of effort""""5.2.2.2. Result quality and success rate""""5.2.2.3. Global quality""; ""5.3. Practical construction of an Eff-Res""; ""5.3.1. Detailed example: (Minimaliste, Alpine 2D)""; ""5.3.2. Qualitative interpretations""; ""5.4. Conclusion""; ""6: Comparing Optimizers""; ""6.1. Data collection and preprocessing""; ""6.2. Critical analysis of comparisons""; ""6.2.1. Influence of criteria and the number of attempts""; ""6.2.2. Influence of effort levels""; ""6.2.3. Global comparison""; ""6.2.4. Influence of the RNG""; ""6.3. Uncertainty in statistical analysis""; ""6.3.1. Independence of tests""""6.3.2. Confidence threshold""Mathematical optimizationMathematical optimization.519.3Clerc Maurice845965MiAaPQMiAaPQMiAaPQBOOK9910822961703321Guided randomness in optimization3954836UNINA04005nam 22006135 450 991075339730332120251113155355.0981-9950-72-410.1007/978-981-99-5072-0(CKB)5680000000354353(MiAaPQ)EBC30882937(Au-PeEL)EBL30882937(DE-He213)978-981-99-5072-0(PPN)272920037(OCoLC)1409705951(ODN)ODN0010227174(EXLCZ)99568000000035435320231016d2024 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierPhotonic Neural Networks with Spatiotemporal Dynamics Paradigms of Computing and Implementation /edited by Hideyuki Suzuki, Jun Tanida, Masanori Hashimoto1st ed. 2024.Singapore :Springer Nature Singapore :Imprint: Springer,2024.1 online resource (277 pages)981-9950-71-6 Revival of Optical Computing -- Nonlinear Dynamics of Recurrent Neural Networks for Computing -- Fluorescence Energy Transfer Computing -- Quantum-Dot Based Photonic Reservoir Computing -- Exploring Integrated Device Implementation for FRET-based Optical Reservoir Computing -- FRET Networks -- Quantum Walk on FRET Networks -- Spatial photonic Ising machine with time/space division multiplexing -- Computing using Oscillatory Phenomena -- Sampling-like Dynamics of the Nonlinear Dynamical System Combined with Optimization -- Reservoir Computing Based on Iterative Function Systems -- Bridging the Gap between Reservoirs and Neural Networks -- Brain-Inspired Reservoir Computing Models.This open access book presents an overview of recent advances in photonic neural networks with spatiotemporal dynamics. The computing and implementation paradigms presented in this book are outcomes of interdisciplinary studies by collaborative researchers from the three fields of nonlinear mathematical science, information photonics, and integrated systems engineering. This book offers novel multidisciplinary viewpoints on photonic neural networks, illustrating recent advances in three types of computing methodologies: fluorescence energy transfer computing, spatial-photonic spin system, and photonic reservoir computing. The book consists of four parts: Part I introduces the backgrounds of optical computing and neural network dynamics; Part II presents fluorescence energy transfer computing, a novel computing technology based on nanoscale networks of fluorescent particles; Parts III and IV review the models and implementation of spatial-photonic spin systems andphotonic reservoir computing, respectively. These contents are beneficial to researchers in a broad range of fields, including information science, mathematical science, applied physics, and engineering, to better understand the novel computing concepts of photonic neural networks with spatiotemporal dynamics.Artificial intelligenceNeural networks (Computer science)Nonlinear opticsArtificial IntelligenceMathematical Models of Cognitive Processes and Neural NetworksNonlinear OpticsArtificial intelligence.Neural networks (Computer science)Nonlinear optics.Artificial Intelligence.Mathematical Models of Cognitive Processes and Neural Networks.Nonlinear Optics.006.3COM004000MAT003000SCI012000bisacshSuzuki Hideyuki1433663Tanida Jun1433664Hashimoto Masanori1433665MiAaPQMiAaPQMiAaPQBOOK9910753397303321Photonic Neural Networks with Spatiotemporal Dynamics3583409UNINA