國立虎尾科技大學 |

登入

回首頁

Optimization techniques for solving ...

Alba, Enrique.

Optimization techniques for solving complex problems /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Optimization techniques for solving complex problems // edited by Enrique Alba ... [et al.].
其他作者:	Alba, Enrique.
出版者:	Hoboken, N.J. ,Wiley : c2009.:,
面頁冊數:	xxi, 476 p. :ill. ; : 25 cm.;
標題:	Computer science - Mathematics. -
ISBN:	9780470293324 (cloth) :

Optimization techniques for solving complex problems /
Optimization techniques for solving complex problems /edited by Enrique Alba ... [et al.]. - Hoboken, N.J. ,Wileyc2009.: - xxi, 476 p. :ill. ;25 cm. - Wiley series on parallel and distributed computing. - Wiley series on parallel and distributed computing..

Includes bibliographical references and index.

Part I: Methodologies for complex problem solving: Generating automatic projections by means of genetic programming -- Neural lazy local learning -- Optimization by using genetic algorithms with micropopulations -- Analyzing parallel cellular genetic algorithms -- Evaluating new advanced multiobjective metaheuristics. -- Canonical metaheuristics for dynamic optimization problems -- Solving constrained optimization problems with hybrid evolutionary algorithms -- Optimization of time series using parallel, adaptive, and neural techniques -- Using reconfigurable computing to optimization of cryptographic algorithms -- Genetic algorithms, parallelism and reconfigurable hardware. -- Divide and conquer: advanced techniques -- Tools for tree searches: branch-and-bound and A* algorithms -- Tools for tree searches: Dynamic programming -- Part II: Applications: Automatic search of behavior strategies in auctions -- Evolving rules for local time series prediction -- Metaheuristics in bioinformatics: DNA sequencing and reconstruction -- Optimal location of antennae in telecommunication networks -- Optimization of image processing algorithms using FPGAs -- Application of cellular automata algorithms to the parallel simulation of laser dynamics -- Dense stereo disparity from an artificial life standpoint -- Exact, metaheuristic, and hybrid approaches to multidimensional knapsack problems -- Greedy seeding and problem-specific operators for GAs solution of strip packing problems -- Solving the KCT problem: large scale neighborhood search and solution merging -- Experimental study of GA-based schedulers in dynamic distributed computing environments -- Remote optimization service (ROS) -- Remote services for advanced problem optimization.

"Here, a team of international experts brings together core ideas for solving complex problems in optimization across a wide variety of real-world settings, including computer science, engineering, transportation, telecommunications, and bioinformatics. Part One: Covers methodologies for complex problem solving including genetic programming, neural networks, genetic algorithms, hybrid evolutionary algorithms, and more. Part Two: Delves into applications including DNA sequencing and reconstruction, location of antennae in telecommunication networks, metaheuristics, FPGAs, problems arising in telecommunication networks, image processing, time series prediction, and more. All chapters contain examples that illustrate the applications themselves as well as the actual performance of the algorithms. Optimization Techniques for Solving Complex Problems is a valuable resource for practitioners and researchers who work with optimization in real-world settings."--Publisher's description.

ISBN: 9780470293324 (cloth) :US$126.95

LCCN: 2008049898Subjects--Topical Terms:

528496
Computer science
--Mathematics.

LC Class. No.: QA76.9.M35 / O78 2009

Dewey Class. No.: 004.01/51

Optimization techniques for solving complex problems /
LDR:03567cam a2200241 a 4500 001 649696
003 DLC
005 20100715194049.0
008 101005s2009 njua b 001 0 eng
010 $a 2008049898
020 $a 9780470293324 (cloth) : $c US$126.95
020 $a 0470293322 (cloth)
035 $a (OCoLC)ocn230181154
035 $a 2008049898
040 $a DLC $b eng $c DLC $d BTCTA $d BAKER $d YDXCP $d CDX $d YDX $d C#P $d BWX $d OQ@ $d DEBBG $d OCL $d DLC
050 0 0 $a QA76.9.M35 $b O78 2009
082 0 0 $a 004.01/51 $2 22
245 0 0 $a Optimization techniques for solving complex problems / $c edited by Enrique Alba ... [et al.].
260 # $a Hoboken, N.J. , $c c2009.: $b Wiley
300 $a xxi, 476 p. : $b ill. ; $c 25 cm.
490 1 $a Wiley series on parallel and distributed computing
504 $a Includes bibliographical references and index.
505 0 # $a Part I: Methodologies for complex problem solving: Generating automatic projections by means of genetic programming -- Neural lazy local learning -- Optimization by using genetic algorithms with micropopulations -- Analyzing parallel cellular genetic algorithms -- Evaluating new advanced multiobjective metaheuristics. -- Canonical metaheuristics for dynamic optimization problems -- Solving constrained optimization problems with hybrid evolutionary algorithms -- Optimization of time series using parallel, adaptive, and neural techniques -- Using reconfigurable computing to optimization of cryptographic algorithms -- Genetic algorithms, parallelism and reconfigurable hardware. -- Divide and conquer: advanced techniques -- Tools for tree searches: branch-and-bound and A* algorithms -- Tools for tree searches: Dynamic programming -- Part II: Applications: Automatic search of behavior strategies in auctions -- Evolving rules for local time series prediction -- Metaheuristics in bioinformatics: DNA sequencing and reconstruction -- Optimal location of antennae in telecommunication networks -- Optimization of image processing algorithms using FPGAs -- Application of cellular automata algorithms to the parallel simulation of laser dynamics -- Dense stereo disparity from an artificial life standpoint -- Exact, metaheuristic, and hybrid approaches to multidimensional knapsack problems -- Greedy seeding and problem-specific operators for GAs solution of strip packing problems -- Solving the KCT problem: large scale neighborhood search and solution merging -- Experimental study of GA-based schedulers in dynamic distributed computing environments -- Remote optimization service (ROS) -- Remote services for advanced problem optimization.
520 # $a "Here, a team of international experts brings together core ideas for solving complex problems in optimization across a wide variety of real-world settings, including computer science, engineering, transportation, telecommunications, and bioinformatics. Part One: Covers methodologies for complex problem solving including genetic programming, neural networks, genetic algorithms, hybrid evolutionary algorithms, and more. Part Two: Delves into applications including DNA sequencing and reconstruction, location of antennae in telecommunication networks, metaheuristics, FPGAs, problems arising in telecommunication networks, image processing, time series prediction, and more. All chapters contain examples that illustrate the applications themselves as well as the actual performance of the algorithms. Optimization Techniques for Solving Complex Problems is a valuable resource for practitioners and researchers who work with optimization in real-world settings."--Publisher's description.
650 # 0 $a Computer science $x Mathematics. $3 528496
650 # 0 $a Mathematical optimization. $3 527675
650 # 0 $a Problem solving. $3 527887
700 1 # $a Alba, Enrique. $3 715122
830 0 $a Wiley series on parallel and distributed computing. $3 716194