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1. |
Record Nr. |
UNISA996389616003316 |
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Autore |
Barriffe William |
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Titolo |
Military discipline: or, the yong artillery man [[electronic resource] ] : VVherein is discoursed and showne the postures both of musket and pike the exactest way, &c. Together with the excercise of the Foot in their motions, with much variety: as also diverse and severall formes for the imbattelling small or greater bodies, demonstrated by the number of a single company, with their reducements: very necessary for all such as are studious in the art militarie. Whereunto is also added the beneficiall vse of the half-pike joyned with the musket. With the way to draw up the Swedish brigade. By William Barriffe, Lieutenant |
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Pubbl/distr/stampa |
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London, : Printed by R. O[ulton] for Ralph Mab, 1639 |
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Edizione |
[The second edition, newly revised and much inlarged.] |
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Descrizione fisica |
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[32], 200, 193-368, 335-377, [13] p., plates : ill., port |
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Soggetti |
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Military art and science |
Strategy |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Author's statement follows edition statement on the title page. |
Printer's name from STC. |
With four final contents leaves. |
Leaves F6, and F1 or F8 (probably the latter) are cancels. |
Leaf a2 is a cancel; page a2r contains two poems by S. Carleton. Variant: a2 is conjugate; a2r contains a poem each by Sir R. Bosvile and S. Carleton. |
Reproduction of the original in the Henry E. Huntington Library and Art Gallery. |
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Sommario/riassunto |
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2. |
Record Nr. |
UNINA9910437901503321 |
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Titolo |
Metaheuristics for Dynamic Optimization / / edited by Enrique Alba, Amir Nakib, Patrick Siarry |
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Pubbl/distr/stampa |
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Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
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ISBN |
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Edizione |
[1st ed. 2013.] |
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Descrizione fisica |
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1 online resource (XXXII, 400 p.) |
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Collana |
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Studies in Computational Intelligence, , 1860-9503 ; ; 433 |
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Altri autori (Persone) |
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AlbaEnrique |
NakibAmir |
SiarryPatrick |
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Disciplina |
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Soggetti |
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Computational intelligence |
Artificial intelligence |
Computational Intelligence |
Artificial Intelligence |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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From the Contents: Performance Analysis of Dynamic Optimization Algorithms -- Quantitative Performance Measures for Dynamic Optimization Problems -- Dynamic Function Optimization: The Moving Peaks Benchmark -- SRCS: a technique for comparing multiple algorithms under several factors in Dynamic Optimization Problems -- Dynamic Combinatorial Optimization Problems: A Fitness Landscape Analysis -- Two Approaches for Single and Multi-Objective Dynamic Optimization -- Self-Adaptive Differential Evolution for Dynamic Environments with Fluctuating Numbers of Optima -- Dynamic multi-objective optimization using PSO. |
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Sommario/riassunto |
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This book is an updated effort in summarizing the trending topics and new hot research lines in solving dynamic problems using metaheuristics. An analysis of the present state in solving complex problems quickly draws a clear picture: problems that change in time, having noise and uncertainties in their definition are becoming very important. The tools to face these problems are still to be built, since |
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existing techniques are either slow or inefficient in tracking the many global optima that those problems are presenting to the solver technique. Thus, this book is devoted to include several of the most important advances in solving dynamic problems. Metaheuristics are the more popular tools to this end, and then we can find in the book how to best use genetic algorithms, particle swarm, ant colonies, immune systems, variable neighborhood search, and many other bioinspired techniques. Also, neural network solutions are considered in this book. Both, theory and practice have been addressed in the chapters of the book. Mathematical background and methodological tools in solving this new class of problems and applications are included. From the applications point of view, not just academic benchmarks are dealt with, but also real world applications in logistics and bioinformatics are discussed here. The book then covers theory and practice, as well as discrete versus continuous dynamic optimization, in the aim of creating a fresh and comprehensive volume. This book is targeted to either beginners and experienced practitioners in dynamic optimization, since we took care of devising the chapters in a way that a wide audience could profit from its contents. We hope to offer a single source for up-to-date information in dynamic optimization, an inspiring and attractive new research domain that appeared in these last years and is here to stay. |
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