Evolution and evaluation PDF Download

Author: Yeong Lan Kim
Publisher:
ISBN:
Category :
Languages : en
Pages : 16

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Author: Édouard Guyot
Publisher:
ISBN:
Category : Great Britain
Languages : en
Pages : 582

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Author: Hubert-Jean Ceccaldi
Publisher: Springer Nature
ISBN: 3030434842
Category : Science
Languages : en
Pages : 521

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Book Description
Coastal and estuarine environments at the interface of terrestrial and marine areas are among the most productive in the world. However, since the beginning of the industrial era, these ecosystems have been subjected to strong anthropogenic pressures intensified from the second half of the 20th century, when there was a marked acceleration in the warming (climate change) of the continents, particularly at high latitudes. Coastal ecosystems are highly vulnerable to alteration of their physical, chemical and biological characteristics (marine intrusion, acidification of marine environments, changes in ecosystems, evolution and artificialization of the coastline, etc.).In contact with heavily populated areas, these environments are often the receptacle of a lot of chemical and biological pollution sources that significantly diminish their resilience. In this context of accelerated evolution and degradation of these areas important for food security of many populations around the world, it is necessary to better identify the factors of pressure and understand, at different scales of observation, their effects and impacts on the biodiversity and on the socio-eco-systems, in order to determine the degree of vulnerability of these coastal ecosystems and the risks they face. A transdisciplinary and integrated approach is required to prevent risks. Within this framework, operational coastal oceanography occupies an important place but also the implementation of a true socio-eco-system approach in order to set up an environmentally friendly development.

Author:
Publisher: OCDE
ISBN:
Category : Science
Languages : en
Pages : 566

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On cover: IEA statistics.

Author: Corinne Fortin
Publisher: John Wiley & Sons
ISBN: 1789451078
Category : Education
Languages : en
Pages : 324

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Book Description
The aim of this collective work is to give an account of the topicality and dynamics of new research in the didactics of evolution, by articulating francophone and international work. The various contributions pursue a reflection on the challenges of teaching and learning about evolution, based on historical, epistemological and societal approaches. The themes addressed illustrate the vitality and diversity of research issues in educational sciences, from primary school to university. Structured around different theoretical fields (problematization, didactics of the curriculum, nature of science, etc.), this book explores the content, teaching and learning processes and approaches, teaching practices, as well as pre-service and in-service teacher training, with a view to both intelligibility and feasibility.

Author:
Publisher:
ISBN:
Category : Atmospheric carbon dioxide
Languages : en
Pages : 610

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Author: Conor Ryan
Publisher: Springer
ISBN: 3319787179
Category : Computers
Languages : en
Pages : 497

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Book Description
This handbook offers a comprehensive treatise on Grammatical Evolution (GE), a grammar-based Evolutionary Algorithm that employs a function to map binary strings into higher-level structures such as programs. GE's simplicity and modular nature make it a very flexible tool. Since its introduction almost twenty years ago, researchers have applied it to a vast range of problem domains, including financial modelling, parallel programming and genetics. Similarly, much work has been conducted to exploit and understand the nature of its mapping scheme, triggering additional research on everything from different grammars to alternative mappers to initialization. The book first introduces GE to the novice, providing a thorough description of GE along with historical key advances. Two sections follow, each composed of chapters from international leading researchers in the field. The first section concentrates on analysis of GE and its operation, giving valuable insight into set up and deployment. The second section consists of seven chapters describing radically different applications of GE. The contributions in this volume are beneficial to both novices and experts alike, as they detail the results and researcher experiences of applying GE to large scale and difficult problems. Topics include: • Grammar design • Bias in GE • Mapping in GE • Theory of disruption in GE · Structured GE · Geometric semantic GE · GE and semantics · Multi- and Many-core heterogeneous parallel GE · Comparing methods to creating constants in GE · Financial modelling with GE · Synthesis of parallel programs on multi-cores · Design, architecture and engineering with GE · Computational creativity and GE · GE in the prediction of glucose for diabetes · GE approaches to bioinformatics and system genomics · GE with coevolutionary algorithms in cybersecurity · Evolving behaviour trees with GE for platform games · Business analytics and GE for the prediction of patient recruitment in multicentre clinical trials

Author: Jerry Suls
Publisher: Springer Science & Business Media
ISBN: 1461542375
Category : Psychology
Languages : en
Pages : 502

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Book Description
Comparison of objects, events, and situations is integral to judgment; comparisons of the self with other people comprise one of the building blocks of human conduct and experience. After four decades of research, the topic of social comparison is more popular than ever. In this timely handbook a distinguished roster of researchers and theoreticians describe where the field has been since its development in the early 1950s and where it is likely to go next.

Author: Hitoshi Iba
Publisher: Springer Nature
ISBN: 9811536856
Category : Computers
Languages : en
Pages : 437

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Book Description
This book delivers the state of the art in deep learning (DL) methods hybridized with evolutionary computation (EC). Over the last decade, DL has dramatically reformed many domains: computer vision, speech recognition, healthcare, and automatic game playing, to mention only a few. All DL models, using different architectures and algorithms, utilize multiple processing layers for extracting a hierarchy of abstractions of data. Their remarkable successes notwithstanding, these powerful models are facing many challenges, and this book presents the collaborative efforts by researchers in EC to solve some of the problems in DL. EC comprises optimization techniques that are useful when problems are complex or poorly understood, or insufficient information about the problem domain is available. This family of algorithms has proven effective in solving problems with challenging characteristics such as non-convexity, non-linearity, noise, and irregularity, which dampen the performance of most classic optimization schemes. Furthermore, EC has been extensively and successfully applied in artificial neural network (ANN) research —from parameter estimation to structure optimization. Consequently, EC researchers are enthusiastic about applying their arsenal for the design and optimization of deep neural networks (DNN). This book brings together the recent progress in DL research where the focus is particularly on three sub-domains that integrate EC with DL: (1) EC for hyper-parameter optimization in DNN; (2) EC for DNN architecture design; and (3) Deep neuroevolution. The book also presents interesting applications of DL with EC in real-world problems, e.g., malware classification and object detection. Additionally, it covers recent applications of EC in DL, e.g. generative adversarial networks (GAN) training and adversarial attacks. The book aims to prompt and facilitate the research in DL with EC both in theory and in practice.

Author: El-ghazali Talbi
Publisher: Springer
ISBN: 3540335900
Category : Computers
Languages : en
Pages : 319

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Book Description
This book constitutes the thoroughly refereed post-proceedings of the 7th International Conference on Artificial Evolution, EA 2005, held in Lille, France, in October 2005. The 26 revised full papers presented were carefully reviewed and selected from 78 submissions. The papers cover all aspects of artificial evolution: genetic programming, machine learning, combinatorial optimization, co-evolution, self-assembling, artificial life and bioinformatics.