alan lockett (15 Ergebnisse)

Soft cover. Zustand: Very Good. Very good condition some bending around the spine, and very slight rubbing at the ends. Otherwise spine and pages intact. Pages slightly yellowed. Signed and dated by previous owner with bookplate.

Soft cover. Zustand: Very Good. No Jacket. 1st Edition. First Edition / First Print. Paperback copy, no dustjacket as issued. 128pp. B/w photographs. Not library copy, no inscriptions, no creasing to spine. (44/2).

Softback. Zustand: Good. Signed. Softback with stiff card wraps. Dust stained - commensurate with age. Illustrated from b/w photographs. Inscribed. Lightly foxed. No loose pages. Pages lightly tanned with rubs to edges and corners. Signed by the author. Sound tight binding. Moderate shelf wear to card wraps, a little grubby with rubs to edges. LAKES, CUMBRIA, MORECAMBE BAY Pamphlet style softback with no spine strip.

Zustand: New. In.

Zustand: New. McrM has been an active research area for over 20 years and the previous conferences clearly showed a tremendous growth of interest. A variety of successful applications and recent developments of interactive computer software to support decision making con.

Paperback. Zustand: Brand New. reprint edition. 615 pages. 9.61x6.69x1.41 inches. In Stock.

Taschenbuch. Zustand: Neu. Neuware - McrM has been an active research area for over 20 years and the previous conferences clearly showed a tremendous growth of interest. A variety of successful applications and recent developments of interactive computer software to support decision making confinn a sustained progress. We therefore decided to make our theme 'Inlproving Decision Making in Organisations'. '!he aim was to take stock of the impact of multicriteria concepts in organisations and to involve management practitioners from a wide range of backgrounds. To this end the conference was organised round five broad themes and papers were solicited on the following topics:- Psychology - how do individuals in practice use and relate to the methodologies. Organisation - how do our models fit into the decision making framework of real organisations. Application - how have the models been used in practice and what is the users view. Methodology - what are the new areas in model development. Related Areas - is there complementary work eg. Expert Systems which may be attempting to solve very similar problems. '!he call for papers produced an overwhelming response of over 100 papers. '!hey were from a variety of disciplines and applications, and we decided to devote approximately one day to each of the five areas. We are very impressed by the results which can be seen in this edited proceedings.

Zustand: New.

Zustand: New. In.

Zustand: New. In.

Taschenbuch. Zustand: Neu. General-Purpose Optimization Through Information Maximization | Alan J. Lockett | Taschenbuch | Natural Computing Series | xviii | Englisch | 2021 | Springer | EAN 9783662620090 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book examines the mismatch betweendiscrete programs,which lie at the center ofmodern applied mathematics, and the continuous space phenomena they simulate. The author considers whether we can imagine continuous spacesof programs, and asks what thestructure of such spaceswould beand how they would beconstituted. He proposesa functional analysisof program spaces focused through the lens of iterative optimization.The author begins with the observation that optimization methods such as Genetic Algorithms, Evolution Strategies, and Particle Swarm Optimization can be analyzed as Estimation of Distributions Algorithms (EDAs) in that they can be formulated as conditional probability distributions. The probabilities themselves are mathematical objects that can be compared and operated on, and thus many methods in Evolutionary Computation can be placed in a shared vector space and analyzed using techniques of functionalanalysis. The core ideas of this book expand from that concept, eventually incorporating all iterative stochastic search methods, including gradient-based methods. Inspired by work on Randomized Search Heuristics, the author covers all iterative optimization methods and not just evolutionary methods. The No Free Lunch Theorem is viewed as a useful introduction to the broader field of analysis that comes from developing a shared mathematical space for optimization algorithms. The author brings in intuitions from several branches of mathematics such as topology, probability theory, and stochastic processes and provides substantial background material to make the work as self-contained as possible.The book will be valuable for researchers in the areas of global optimization, machine learning, evolutionary theory, and control theory.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book examines the mismatch betweendiscrete programs,which lie at the center ofmodern applied mathematics, and the continuous space phenomena they simulate. The author considers whether we can imagine continuous spacesof programs, and asks what thestructure of such spaceswould beand how they would beconstituted. He proposesa functional analysisof program spaces focused through the lens of iterative optimization.The author begins with the observation that optimization methods such as Genetic Algorithms, Evolution Strategies, and Particle Swarm Optimization can be analyzed as Estimation of Distributions Algorithms (EDAs) in that they can be formulated as conditional probability distributions. The probabilities themselves are mathematical objects that can be compared and operated on, and thus many methods in Evolutionary Computation can be placed in a shared vector space and analyzed using techniques of functionalanalysis. The core ideas of this book expand from that concept, eventually incorporating all iterative stochastic search methods, including gradient-based methods. Inspired by work on Randomized Search Heuristics, the author covers all iterative optimization methods and not just evolutionary methods. The No Free Lunch Theorem is viewed as a useful introduction to the broader field of analysis that comes from developing a shared mathematical space for optimization algorithms. The author brings in intuitions from several branches of mathematics such as topology, probability theory, and stochastic processes and provides substantial background material to make the work as self-contained as possible.The book will be valuable for researchers in the areas of global optimization, machine learning, evolutionary theory, and control theory.

Paperback. Zustand: Brand New. 579 pages. 9.25x6.10x1.17 inches. In Stock.

Hardcover. Zustand: Brand New. 579 pages. 9.25x6.10x1.25 inches. In Stock.