Contributions On Theoretical Aspects Of Estimation Of Distribution Algorithms
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| Author | : Ke-Lin Du |
| Publisher | : Birkhäuser |
| Total Pages | : 437 |
| Release | : 2016-07-20 |
| Genre | : Computers |
| ISBN | : 3319411926 |
This textbook provides a comprehensive introduction to nature-inspired metaheuristic methods for search and optimization, including the latest trends in evolutionary algorithms and other forms of natural computing. Over 100 different types of these methods are discussed in detail. The authors emphasize non-standard optimization problems and utilize a natural approach to the topic, moving from basic notions to more complex ones. An introductory chapter covers the necessary biological and mathematical backgrounds for understanding the main material. Subsequent chapters then explore almost all of the major metaheuristics for search and optimization created based on natural phenomena, including simulated annealing, recurrent neural networks, genetic algorithms and genetic programming, differential evolution, memetic algorithms, particle swarm optimization, artificial immune systems, ant colony optimization, tabu search and scatter search, bee and bacteria foraging algorithms, harmony search, biomolecular computing, quantum computing, and many others. General topics on dynamic, multimodal, constrained, and multiobjective optimizations are also described. Each chapter includes detailed flowcharts that illustrate specific algorithms and exercises that reinforce important topics. Introduced in the appendix are some benchmarks for the evaluation of metaheuristics. Search and Optimization by Metaheuristics is intended primarily as a textbook for graduate and advanced undergraduate students specializing in engineering and computer science. It will also serve as a valuable resource for scientists and researchers working in these areas, as well as those who are interested in search and optimization methods.
| Author | : Emilia Tantar |
| Publisher | : Springer |
| Total Pages | : 422 |
| Release | : 2012-09-14 |
| Genre | : Technology & Engineering |
| ISBN | : 3642327265 |
The aim of this book is to provide a strong theoretical support for understanding and analyzing the behavior of evolutionary algorithms, as well as for creating a bridge between probability, set-oriented numerics and evolutionary computation. The volume encloses a collection of contributions that were presented at the EVOLVE 2011 international workshop, held in Luxembourg, May 25-27, 2011, coming from invited speakers and also from selected regular submissions. The aim of EVOLVE is to unify the perspectives offered by probability, set oriented numerics and evolutionary computation. EVOLVE focuses on challenging aspects that arise at the passage from theory to new paradigms and practice, elaborating on the foundations of evolutionary algorithms and theory-inspired methods merged with cutting-edge techniques that ensure performance guarantee factors. EVOLVE is also intended to foster a growing interest for robust and efficient methods with a sound theoretical background. The chapters enclose challenging theoretical findings, concrete optimization problems as well as new perspectives. By gathering contributions from researchers with different backgrounds, the book is expected to set the basis for a unified view and vocabulary where theoretical advancements may echo in different domains.
| Author | : Tzai-Der Wang |
| Publisher | : Springer |
| Total Pages | : 960 |
| Release | : 2006-10-12 |
| Genre | : Computers |
| ISBN | : 3540473327 |
This book constitutes the refereed proceedings of the 6th International Conference on Simulated Evolution and Learning, SEAL 2006, held in Hefei, China in October 2006. The 117 revised full papers presented were carefully reviewed and selected from 420 submissions.
| Author | : Leila Kallel |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 495 |
| Release | : 2013-03-09 |
| Genre | : Computers |
| ISBN | : 366204448X |
During the first week of September 1999, the Second EvoNet Summer School on Theoretical Aspects of Evolutionary Computing was held at the Middelheim cam pus of the University of Antwerp, Belgium. Originally intended as a small get together of PhD students interested in the theory of evolutionary computing, the summer school grew to become a successful combination of a four-day workshop with over twenty researchers in the field and a two-day lecture series open to a wider audience. This book is based on the lectures and workshop contributions of this summer school. Its first part consists of tutorial papers which introduce the reader to a num ber of important directions in the theory of evolutionary computing. The tutorials are at graduate level andassume only a basic backgroundin mathematics and com puter science. No prior knowledge ofevolutionary computing or its theory is nec essary. The second part of the book consists of technical papers, selected from the workshop contributions. A number of them build on the material of the tutorials, exploring the theory to research level. Other technical papers may require a visit to the library.
| Author | : Alberto Marchetti-Spaccamela |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 273 |
| Release | : 2011-03-14 |
| Genre | : Computers |
| ISBN | : 3642197531 |
This book constitutes the refereed proceedings of the First International ICST Conference on Theory and Practice of Algorithms in (Computer) Systems, TAPAS 2011, held in Rome, Italy, in April 2011. The 25 papers presented, including three short papers by invited speakers, were carefully reviewed and selected from 45 submissions. The papers all feature original research in the design, implementation and evaluation of algorithms with special focus on algorithms for combinatorial optimization problems, and to real-world applications, engineering and experimental analysis of algorithms - thus fostering the cooperation among researchers in computer science, networking, discrete mathematics, mathematical programming and operations research.
| Author | : Olivia Gosseries |
| Publisher | : Frontiers Media SA |
| Total Pages | : 194 |
| Release | : 2019-05-16 |
| Genre | : |
| ISBN | : 2889458423 |
The amount of patients surviving severe brain injury has gradually increased over these last decades thanks to the development of intensive care. These patients either recover quickly from coma or go through prolonged disorders of consciousness such as vegetative state/unresponsive wakefulness syndrome (VS/UWS) or minimally conscious state (MCS). While patients in a minimally conscious state are to some extent aware of themselves and the environment, and show fluctuating but reproducible signs of consciousness, patients in a vegetative state/unresponsive wakefulness syndrome are awake but only show reflexive behaviors. These patients are unable to communicate and present vigilance fluctuation, sensory deficits as well as severe motor and language impairments. Even though behavioral assessment currently remains the gold standard for diagnosis, a number of studies highlights the difficulty in making the distinction between conscious and unconscious patients based on clinical examinations and show a misdiagnosis rate as high as 40%. Misdiagnosis can nevertheless have serious consequences on patient’s management, medically but also ethically (i.e., regarding end-of-life decision). The emergence of functional neuroimaging techniques (such as positron emission tomography – PET and functional magnetic resonance imaging – fMRI) opened new opportunities to study brain activity in patients with disorders of consciousness (DOC). Recent neuroimaging tools have brought new understandings on how the brain functions after coma, and how these tools can complement bedside assessment by improving diagnosis and prognosis of DOC patients. Indeed, we know now that most patients in VS/UWS present partial activation of sensory networks and impaired functional connectivity contrary to patients in MCS. The reemergence of thalamo-cortical connections has also been associated with recovery of consciousness; whereas, thalamic atrophy has been associated to chronic DOC. Recent findings have also stressed the interest of neuroimaging in the management and the treatment of these patients. fMRI has been used as brain computer interfaces to detect consciousness in unresponsive patients and to allow basic communication in minimally conscious patients. Neuroimaging techniques are also currently being used to examine the effects of potential therapy such as pharmacological medications (e.g., Amantadine or Zolpidem) and brain stimulations (e.g., transcranial direct current stimulation or repetitive transcranial magnetic stimulation).
| Author | : Aneesh Sreevallabh Chivukula |
| Publisher | : Springer Nature |
| Total Pages | : 316 |
| Release | : 2023-03-06 |
| Genre | : Computers |
| ISBN | : 3030997723 |
A critical challenge in deep learning is the vulnerability of deep learning networks to security attacks from intelligent cyber adversaries. Even innocuous perturbations to the training data can be used to manipulate the behaviour of deep networks in unintended ways. In this book, we review the latest developments in adversarial attack technologies in computer vision; natural language processing; and cybersecurity with regard to multidimensional, textual and image data, sequence data, and temporal data. In turn, we assess the robustness properties of deep learning networks to produce a taxonomy of adversarial examples that characterises the security of learning systems using game theoretical adversarial deep learning algorithms. The state-of-the-art in adversarial perturbation-based privacy protection mechanisms is also reviewed. We propose new adversary types for game theoretical objectives in non-stationary computational learning environments. Proper quantification of the hypothesis set in the decision problems of our research leads to various functional problems, oracular problems, sampling tasks, and optimization problems. We also address the defence mechanisms currently available for deep learning models deployed in real-world environments. The learning theories used in these defence mechanisms concern data representations, feature manipulations, misclassifications costs, sensitivity landscapes, distributional robustness, and complexity classes of the adversarial deep learning algorithms and their applications. In closing, we propose future research directions in adversarial deep learning applications for resilient learning system design and review formalized learning assumptions concerning the attack surfaces and robustness characteristics of artificial intelligence applications so as to deconstruct the contemporary adversarial deep learning designs. Given its scope, the book will be of interest to Adversarial Machine Learning practitioners and Adversarial Artificial Intelligence researchers whose work involves the design and application of Adversarial Deep Learning.
| Author | : Remo Ruffini |
| Publisher | : World Scientific |
| Total Pages | : 4880 |
| Release | : 2022-12-15 |
| Genre | : Science |
| ISBN | : 9811269785 |
The proceedings of MG16 give a broad view of all aspects of gravitational physics and astrophysics, from mathematical issues to recent observations and experiments. The scientific program of the meeting included 46 plenary presentations, 3 public lectures, 5 round tables and 81 parallel sessions arranged during the intense six-day online meeting. All talks were recorded and are available on the ICRANet YouTube channel at the following link: www.icranet.org/video_mg16.These proceedings are a representative sample of the very many contributions made at the meeting. They contain 383 papers, among which 14 come from the plenary sessions.The material represented in these proceedings cover the following topics: accretion, active galactic nuclei, alternative theories of gravity, black holes (theory, observations and experiments), binaries, boson stars, cosmic microwave background, cosmic strings, dark energy and large scale structure, dark matter, education, exact solutions, early universe, fundamental interactions and stellar evolution, fast transients, gravitational waves, high energy physics, history of relativity, neutron stars, precision tests, quantum gravity, strong fields, and white dwarf; all of them represented by a large number of contributions.The online e-proceedings are published in an open access format.
| Author | : Hisao Ishibuchi |
| Publisher | : EOLSS Publications |
| Total Pages | : 410 |
| Release | : 2015-12-30 |
| Genre | : |
| ISBN | : 1780210213 |
Computational intelligence is a component of Encyclopedia of Technology, Information, and Systems Management Resources in the global Encyclopedia of Life Support Systems (EOLSS), which is an integrated compendium of twenty one Encyclopedias. Computational intelligence is a rapidly growing research field including a wide variety of problem-solving techniques inspired by nature. Traditionally computational intelligence consists of three major research areas: Neural Networks, Fuzzy Systems, and Evolutionary Computation. Neural networks are mathematical models inspired by brains. Neural networks have massively parallel network structures with many neurons and weighted connections. Whereas each neuron has a simple input-output relation, a neural network with many neurons can realize a highly non-linear complicated mapping. Connection weights between neurons can be adjusted in an automated manner by a learning algorithm to realize a non-linear mapping required in a particular application task. Fuzzy systems are mathematical models proposed to handle inherent fuzziness in natural language. For example, it is very difficult to mathematically define the meaning of “cold” in everyday conversations such as “It is cold today” and “Can I have cold water”. The meaning of “cold” may be different in a different situation. Even in the same situation, a different person may have a different meaning. Fuzzy systems offer a mathematical mechanism to handle inherent fuzziness in natural language. As a result, fuzzy systems have been successfully applied to real-world problems by extracting linguistic knowledge from human experts in the form of fuzzy IF-THEN rules. Evolutionary computation includes various population-based search algorithms inspired by evolution in nature. Those algorithms usually have the following three mechanisms: fitness evaluation to measure the quality of each solution, selection to choose good solutions from the current population, and variation operators to generate offspring from parents. Evolutionary computation has high applicability to a wide range of optimization problems with different characteristics since it does not need any explicit mathematical formulations of objective functions. For example, simulation-based fitness evaluation is often used in evolutionary design. Subjective fitness evaluation by a human user is also often used in evolutionary art and music. These volumes are aimed at the following five major target audiences: University and College students Educators, Professional practitioners, Research personnel and Policy analysts, managers, and decision makers.
| Author | : Suresh Chandra Satapathy |
| Publisher | : Springer |
| Total Pages | : 779 |
| Release | : 2017-03-15 |
| Genre | : Technology & Engineering |
| ISBN | : 9811031533 |
The book is a collection of high-quality peer-reviewed research papers presented at International Conference on Frontiers of Intelligent Computing: Theory and applications (FICTA 2016) held at School of Computer Engineering, KIIT University, Bhubaneswar, India during 16 – 17 September 2016. The book presents theories, methodologies, new ideas, experiences and applications in all areas of intelligent computing and its applications to various engineering disciplines like computer science, electronics, electrical and mechanical engineering.
