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Author: James Tynion IV
Publisher: BOOM! Studios
ISBN: 1681592169
Category : Comics & Graphic Novels
Languages : en
Pages : 46
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Book Description
The apocalypse continues in the second installment of the oversized, 48-page MEMETIC. In Day Two of this crisis, Aaron tries to escape his college campus overrun with Screamers, while Marcus and his Pentagon team attempt to track down the source of the meme and eliminate it before time runs out
Author: James Tynion IV
Publisher: BOOM! Studios
ISBN: 1681592169
Category : Comics & Graphic Novels
Languages : en
Pages : 46
Get Book
Book Description
The apocalypse continues in the second installment of the oversized, 48-page MEMETIC. In Day Two of this crisis, Aaron tries to escape his college campus overrun with Screamers, while Marcus and his Pentagon team attempt to track down the source of the meme and eliminate it before time runs out
Author: Bijata Ketan Panigraphi
Publisher: Springer Science & Business Media
ISBN: 364227241X
Category : Computers
Languages : en
Pages : 353
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Book Description
These two volumes, LNCS 7076 and LNCS 7077, constitute the refereed proceedings of the Second International Conference on Swarm, Evolutionary, and Memetic Computing, SEMCCO 2011, held in Visakhapatnam, India, in December 2011. The 124 revised full papers presented in both volumes were carefully reviewed and selected from 422 submissions. The papers explore new application areas, feature new bio-inspired algorithms for solving specific hard optimization problems, and review the latest progresses in the cutting-edge research with swarm, evolutionary, and memetic computing in both theoretical and practical aspects.
Author: Abhishek Gupta
Publisher: Springer
ISBN: 3030027295
Category : Technology & Engineering
Languages : en
Pages : 104
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Book Description
This book bridges the widening gap between two crucial constituents of computational intelligence: the rapidly advancing technologies of machine learning in the digital information age, and the relatively slow-moving field of general-purpose search and optimization algorithms. With this in mind, the book serves to offer a data-driven view of optimization, through the framework of memetic computation (MC). The authors provide a summary of the complete timeline of research activities in MC – beginning with the initiation of memes as local search heuristics hybridized with evolutionary algorithms, to their modern interpretation as computationally encoded building blocks of problem-solving knowledge that can be learned from one task and adaptively transmitted to another. In the light of recent research advances, the authors emphasize the further development of MC as a simultaneous problem learning and optimization paradigm with the potential to showcase human-like problem-solving prowess; that is, by equipping optimization engines to acquire increasing levels of intelligence over time through embedded memes learned independently or via interactions. In other words, the adaptive utilization of available knowledge memes makes it possible for optimization engines to tailor custom search behaviors on the fly – thereby paving the way to general-purpose problem-solving ability (or artificial general intelligence). In this regard, the book explores some of the latest concepts from the optimization literature, including, the sequential transfer of knowledge across problems, multitasking, and large-scale (high dimensional) search, systematically discussing associated algorithmic developments that align with the general theme of memetics. The presented ideas are intended to be accessible to a wide audience of scientific researchers, engineers, students, and optimization practitioners who are familiar with the commonly used terminologies of evolutionary computation. A full appreciation of the mathematical formalizations and algorithmic contributions requires an elementary background in probability, statistics, and the concepts of machine learning. A prior knowledge of surrogate-assisted/Bayesian optimization techniques is useful, but not essential.
Author: Ferrante Neri
Publisher: Springer
ISBN: 3642232477
Category : Technology & Engineering
Languages : en
Pages : 376
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Book Description
Memetic Algorithms (MAs) are computational intelligence structures combining multiple and various operators in order to address optimization problems. The combination and interaction amongst operators evolves and promotes the diffusion of the most successful units and generates an algorithmic behavior which can handle complex objective functions and hard fitness landscapes. “Handbook of Memetic Algorithms” organizes, in a structured way, all the the most important results in the field of MAs since their earliest definition until now. A broad review including various algorithmic solutions as well as successful applications is included in this book. Each class of optimization problems, such as constrained optimization, multi-objective optimization, continuous vs combinatorial problems, uncertainties, are analysed separately and, for each problem, memetic recipes for tackling the difficulties are given with some successful examples. Although this book contains chapters written by multiple authors, a great attention has been given by the editors to make it a compact and smooth work which covers all the main areas of computational intelligence optimization. It is not only a necessary read for researchers working in the research area, but also a useful handbook for practitioners and engineers who need to address real-world optimization problems. In addition, the book structure makes it an interesting work also for graduate students and researchers is related fields of mathematics and computer science.
Author: Bijaya Ketan Panigrahi
Publisher: Springer
ISBN: 3642175635
Category : Computers
Languages : en
Pages : 772
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Book Description
This LNCS volume contains the papers presented at the First Swarm, Evolutionary and Memetic Computing Conference (SEMCCO 2010) held during December 16–– 18, 2010 at SRM University, Chennai, in India. SEMCCO 2010 marked the beginning of a prestigious international conference series that aims at bringing together researchers from academia and industry to report and review the latest progress in the cutting-edge research on swarm, evolutionary, and memetic computing, to explore new application areas, to design new bio-inspired algorithms for solving specific hard optimization problems, and finally to create awareness on these domains to a wider audience of practitioners. SEMCCO 2010 received 225 paper submissions from 20 countries across the globe. After a rigorous peer-review process involving 610 reviews in total, 90 fu- length articles were accepted for oral presentation at the conference. This corresponds to an acceptance rate of 40% and is intended for maintaining the high standards of the conference proceedings. The papers included in this LNCS volume cover a wide range of topics in swarm, evolutionary, and memetic computing algorithms and their real-world applications in problems selected from diverse domains of science and engineering.
Author: Susan Blackmore
Publisher: OUP Oxford
ISBN: 0191574619
Category : Science
Languages : en
Pages : 288
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Book Description
Humans are extraordinary creatures, with the unique ability among animals to imitate and so copy from one another ideas, habits, skills, behaviours, inventions, songs, and stories. These are all memes, a term first coined by Richard Dawkins in 1976 in his book The Selfish Gene. Memes, like genes, are replicators, and this enthralling book is an investigation of whether this link between genes and memes can lead to important discoveries about the nature of the inner self. Confronting the deepest questions about our inner selves, with all our emotions, memories, beliefs, and decisions, Susan Blackmore makes a compelling case for the theory that the inner self is merely an illusion created by the memes for the sake of replication.
Author: Chi-Keong Goh
Publisher: Springer Science & Business Media
ISBN: 354088050X
Category : Mathematics
Languages : en
Pages : 399
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Book Description
The application of sophisticated evolutionary computing approaches for solving complex problems with multiple conflicting objectives in science and engineering have increased steadily in the recent years. Within this growing trend, Memetic algorithms are, perhaps, one of the most successful stories, having demonstrated better efficacy in dealing with multi-objective problems as compared to its conventional counterparts. Nonetheless, researchers are only beginning to realize the vast potential of multi-objective Memetic algorithm and there remain many open topics in its design. This book presents a very first comprehensive collection of works, written by leading researchers in the field, and reflects the current state-of-the-art in the theory and practice of multi-objective Memetic algorithms. "Multi-Objective Memetic algorithms" is organized for a wide readership and will be a valuable reference for engineers, researchers, senior undergraduates and graduate students who are interested in the areas of Memetic algorithms and multi-objective optimization.
Author: William E. Hart
Publisher: Springer
ISBN: 3540323635
Category : Mathematics
Languages : en
Pages : 406
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Book Description
Memetic algorithms are evolutionary algorithms that apply a local search process to refine solutions to hard problems. Memetic algorithms are the subject of intense scientific research and have been successfully applied to a multitude of real-world problems ranging from the construction of optimal university exam timetables, to the prediction of protein structures and the optimal design of space-craft trajectories. This monograph presents a rich state-of-the-art gallery of works on memetic algorithms. Recent Advances in Memetic Algorithms is the first book that focuses on this technology as the central topical matter. This book gives a coherent, integrated view on both good practice examples and new trends including a concise and self-contained introduction to memetic algorithms. It is a necessary read for postgraduate students and researchers interested in recent advances in search and optimization technologies based on memetic algorithms, but can also be used as complement to undergraduate textbooks on artificial intelligence.
Author: Richard Dawkins
Publisher: Oxford University Press, USA
ISBN: 9780192860927
Category : Medical
Languages : en
Pages : 372
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Book Description
Science need not be dull and bogged down by jargon, as Richard Dawkins proves in this entertaining look at evolution. The themes he takes up are the concepts of altruistic and selfish behaviour; the genetical definition of selfish interest; the evolution of aggressive behaviour; kinshiptheory; sex ratio theory; reciprocal altruism; deceit; and the natural selection of sex differences. 'Should be read, can be read by almost anyone. It describes with great skill a new face of the theory of evolution.' W.D. Hamilton, Science
Author: Tine Munk
Publisher: Taylor & Francis
ISBN: 100097071X
Category : Social Science
Languages : en
Pages : 122
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Book Description
Memetic War analyses memetic warfare included in cyber war and aims to develop a framework for understanding the parameters included in utilising this concept in Ukraine as a part of civic resistance. In the Ukrainian war, an informal defence tactic has developed to uphold the information flow about the war and to debunk Russia’s communications. The war has enhanced the visibility of governmental and civic activation by using the advantages of social media architecture, networks, and communication forms. The book investigates Ukraine’s public and private abilities to develop cyber capabilities to counter propaganda and dis-and-misinformation online as a defence mechanism. This book uses military ROC doctrine to understand government authorities, the armed forces, and civic engagement in the Ukrainian resistance. Memetic War will have relevance for scholars, researchers, and academics in the cybersecurity field, practitioners, governmental actors, and military and strategic personnel.
