Objective Computer Science
Author: Rph Editorial Board
Publisher: Ramesh Publishing House
Published: 2020-10
Total Pages: 202
ISBN-13: 9789350125939
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Computer Science Engineering Objective Questions PDF eBook
Author: Chandresh Agrawal
Publisher: Chandresh Agrawal
Published: 2023-10-12
Total Pages: 120
ISBN-13:
DOWNLOAD EBOOK →SGN. The Computer Science Engineering Objective Questions PDF eBook Covers Objective Questions From various Competitive Exams With Answers.
Handbook of Computer Science & IT
Author: Arihant Experts
Publisher: Arihant Publications India limited
Published: 2018-04-20
Total Pages: 416
ISBN-13: 9350944308
DOWNLOAD EBOOK →Scope of science and technology is expanding at an exponential rate and so is the need of skilled professionals i.e., Engineers. To stand out of the crowd amidst rising competition, many of the engineering graduates aim to crack GATE, IES and PSUs and pursue various post graduate Programmes. Handbook series as its name suggests is a set of Best-selling Multi-Purpose Quick Revision resource books, those are devised with anytime, anywhere approach. It’s a compact, portable revision aid like none other. It contains almost all useful Formulae, equations, Terms, definitions and many more important aspects of these subjects. Computer Science & IT Handbook has been designed for aspirants of GATE, IES, PSUs and Other Competitive Exams. Each topic is summarized in the form of key points and notes for everyday work, problem solving or exam revision, in a unique format that displays concepts clearly. The book also displays formulae and circuit diagrams clearly, places them in context and crisply identities and describes all the variables involved Theory of Computation, Data Structure with Programming in C, Design and Analysis of Algorithm, Database Management Systems, Operation System, Computer Network, Compiler Design, Software Engineering and Information System, Web Technology, Switching Theory and Computer Architecture
Multi-Objective Optimization in Computational Intelligence: Theory and Practice
Author: Thu Bui, Lam
Publisher: IGI Global
Published: 2008-05-31
Total Pages: 496
ISBN-13: 1599045001
DOWNLOAD EBOOK →Multi-objective optimization (MO) is a fast-developing field in computational intelligence research. Giving decision makers more options to choose from using some post-analysis preference information, there are a number of competitive MO techniques with an increasingly large number of MO real-world applications. Multi-Objective Optimization in Computational Intelligence: Theory and Practice explores the theoretical, as well as empirical, performance of MOs on a wide range of optimization issues including combinatorial, real-valued, dynamic, and noisy problems. This book provides scholars, academics, and practitioners with a fundamental, comprehensive collection of research on multi-objective optimization techniques, applications, and practices.
OBJECTIVE Computer Awareness
Author: Arihant Experts
Publisher: Arihant Publications India limited
Published: 2019-06-04
Total Pages: 186
ISBN-13: 9313168804
DOWNLOAD EBOOK →Computer Awareness is an important section for various exams of the country including IBPS, SBI (Bank PO & Clerk), SSC, Railway, Police and many other state competitive exams. Hence, it comes as no surprise that having strong knowledge about computer plays an important role in getting success in exams. This book “Learn, Revise and Practice Computer Awareness” once again brings in the complete study material for Computer knowledge at one place for you. Designed on the basis of close considerations of various examinations’ syllabus and pattern, it serves as the most suitable read to understand computer awareness. It includes Chapterwise theories, Question Bank with each chapter, Chapterwise Past Years’ Questions and 5 Practice Sets for Complete Practice. Abbreviations and Glossary are also given at the end. Providing to-the-point, chapterwise study supported by definitions, examples, exercises and more, it promotes the best learning along with revision and practice to perform well in exams. TOC Introduction to Computer, Computer Architecture, Computer Hardware, Computer Memory, Data Representation, Computer Software, Operating System, Programming Concepts, Microsoft Windows, Microsoft Office, Database Concepts, Internet and its Services, Computer Security, Practice Sets (1-5), Abbreviations, Glossary
Assessing and Responding to the Growth of Computer Science Undergraduate Enrollments
Author: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
Published: 2018-04-28
Total Pages: 253
ISBN-13: 0309467020
DOWNLOAD EBOOK →The field of computer science (CS) is currently experiencing a surge in undergraduate degree production and course enrollments, which is straining program resources at many institutions and causing concern among faculty and administrators about how best to respond to the rapidly growing demand. There is also significant interest about what this growth will mean for the future of CS programs, the role of computer science in academic institutions, the field as a whole, and U.S. society more broadly. Assessing and Responding to the Growth of Computer Science Undergraduate Enrollments seeks to provide a better understanding of the current trends in computing enrollments in the context of past trends. It examines drivers of the current enrollment surge, relationships between the surge and current and potential gains in diversity in the field, and the potential impacts of responses to the increased demand for computing in higher education, and it considers the likely effects of those responses on students, faculty, and institutions. This report provides recommendations for what institutions of higher education, government agencies, and the private sector can do to respond to the surge and plan for a strong and sustainable future for the field of CS in general, the health of the institutions of higher education, and the prosperity of the nation.
Evolutionary Algorithms for Solving Multi-Objective Problems
Author: Carlos Coello Coello
Publisher: Springer Science & Business Media
Published: 2013-03-09
Total Pages: 600
ISBN-13: 1475751842
DOWNLOAD EBOOK →Researchers and practitioners alike are increasingly turning to search, op timization, and machine-learning procedures based on natural selection and natural genetics to solve problems across the spectrum of human endeavor. These genetic algorithms and techniques of evolutionary computation are solv ing problems and inventing new hardware and software that rival human designs. The Kluwer Series on Genetic Algorithms and Evolutionary Computation pub lishes research monographs, edited collections, and graduate-level texts in this rapidly growing field. Primary areas of coverage include the theory, implemen tation, and application of genetic algorithms (GAs), evolution strategies (ESs), evolutionary programming (EP), learning classifier systems (LCSs) and other variants of genetic and evolutionary computation (GEC). The series also pub lishes texts in related fields such as artificial life, adaptive behavior, artificial immune systems, agent-based systems, neural computing, fuzzy systems, and quantum computing as long as GEC techniques are part of or inspiration for the system being described. This encyclopedic volume on the use of the algorithms of genetic and evolu tionary computation for the solution of multi-objective problems is a landmark addition to the literature that comes just in the nick of time. Multi-objective evolutionary algorithms (MOEAs) are receiving increasing and unprecedented attention. Researchers and practitioners are finding an irresistible match be tween the popUlation available in most genetic and evolutionary algorithms and the need in multi-objective problems to approximate the Pareto trade-off curve or surface.
Parallel Problem Solving from Nature - PPSN IX
Author: Thomas Philip Runarsson
Publisher: Springer
Published: 2006-10-06
Total Pages: 1079
ISBN-13: 3540389911
DOWNLOAD EBOOK →This book constitutes the refereed proceedings of the 9th International Conference on Parallel Problem Solving from Nature, PPSN 2006. The book presents 106 revised full papers covering a wide range of topics, from evolutionary computation to swarm intelligence and bio-inspired computing to real-world applications. These are organized in topical sections on theory, new algorithms, applications, multi-objective optimization, evolutionary learning, as well as representations, operators, and empirical evaluation.
Science of Goal Formulation
Author: Stuart A. Umpleby
Publisher: CRC Press
Published: 1990-12-01
Total Pages: 276
ISBN-13: 9780891167358
DOWNLOAD EBOOK →This work contains the proceedings of a meeting held by 18 American and Soviet scholars on the state of cybernetics and systems theory in their two countries. American interest focused on the observation of systems, whilst Soviet interest focused on mathematical modelling.
Stochastic Versus Fuzzy Approaches to Multiobjective Mathematical Programming under Uncertainty
Author: Shi-Yu Huang
Publisher: Springer Science & Business Media
Published: 2012-12-06
Total Pages: 425
ISBN-13: 940092111X
DOWNLOAD EBOOK →Operations Research is a field whose major contribution has been to propose a rigorous fonnulation of often ill-defmed problems pertaining to the organization or the design of large scale systems, such as resource allocation problems, scheduling and the like. While this effort did help a lot in understanding the nature of these problems, the mathematical models have proved only partially satisfactory due to the difficulty in gathering precise data, and in formulating objective functions that reflect the multi-faceted notion of optimal solution according to human experts. In this respect linear programming is a typical example of impressive achievement of Operations Research, that in its detenninistic fonn is not always adapted to real world decision-making : everything must be expressed in tenns of linear constraints ; yet the coefficients that appear in these constraints may not be so well-defined, either because their value depends upon other parameters (not accounted for in the model) or because they cannot be precisely assessed, and only qualitative estimates of these coefficients are available. Similarly the best solution to a linear programming problem may be more a matter of compromise between various criteria rather than just minimizing or maximizing a linear objective function. Lastly the constraints, expressed by equalities or inequalities between linear expressions, are often softer in reality that what their mathematical expression might let us believe, and infeasibility as detected by the linear programming techniques can often been coped with by making trade-offs with the real world.
