Genetic Simulated Annealing and Application to Non-slicing Floorplan Design

Genetic Simulated Annealing and Application to Non-slicing Floorplan Design PDF Author: Seiichi Koakutsu
Publisher:
ISBN:
Category : Simulated annealing (Mathematics)
Languages : en
Pages : 38

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Genetic Simulated Annealing and Application to Non-slicing Floorplan Design

Genetic Simulated Annealing and Application to Non-slicing Floorplan Design PDF Author: Seiichi Koakutsu
Publisher:
ISBN:
Category : Simulated annealing (Mathematics)
Languages : en
Pages : 38

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International Journal of Information and Management Sciences

International Journal of Information and Management Sciences PDF Author:
Publisher:
ISBN:
Category : Management information systems
Languages : en
Pages : 338

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Floorplan and Placement Approaches for VLSI Physical Design

Floorplan and Placement Approaches for VLSI Physical Design PDF Author: Pei-Ning Guo
Publisher:
ISBN:
Category :
Languages : en
Pages : 198

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Distributed genetic algorithms for the floor plan design problems

Distributed genetic algorithms for the floor plan design problems PDF Author: James P. Cohoon
Publisher:
ISBN:
Category : Integrated circuits
Languages : en
Pages : 21

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Book Description
Our method has performed better than the simulated annealing approach, both in terms of the average cost of the solutions found and the best-found solution, in almost all of the problem instances tried."

Floorplanning for Deep Submicron VLSI Design

Floorplanning for Deep Submicron VLSI Design PDF Author: Maggie Zhi-Wei Kang
Publisher:
ISBN:
Category : Integrated circuits
Languages : en
Pages : 262

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Digital Microfluidic Biochips

Digital Microfluidic Biochips PDF Author: Krishnendu Chakrabarty
Publisher: CRC Press
ISBN: 1420008307
Category : Technology & Engineering
Languages : en
Pages : 228

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Book Description
Digital Microfluidic Biochips focuses on the automated design and production of microfluidic-based biochips for large-scale bioassays and safety-critical applications. Bridging areas of electronic design automation with microfluidic biochip research, the authors present a system-level design automation framework that addresses key issues in the design, analysis, and testing of digital microfluidic biochips. The book describes a new generation of microfluidic biochips with more complex designs that offer dynamic reconfigurability, system scalability, system integration, and defect tolerance. Part I describes a unified design methodology that targets design optimization under resource constraints. Part II investigates cost-effective testing techniques for digital microfluidic biochips that include test resource optimization and fault detection while running normal bioassays. Part III focuses on different reconfiguration-based defect tolerance techniques designed to increase the yield and dependability of digital microfluidic biochips. Expanding upon results from ongoing research on CAD for biochips at Duke University, this book presents new design methodologies that address some of the limitations in current full-custom design techniques. Digital Microfluidic Biochips is an essential resource for achieving the integration of microfluidic components in the next generation of system-on-chip and system-in-package designs.

Algorithms and Architectures for Parallel Processing

Algorithms and Architectures for Parallel Processing PDF Author: Arrems Hua
Publisher: Springer Science & Business Media
ISBN: 3642030947
Category : Computers
Languages : en
Pages : 896

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Book Description
This book constitutes the refereed proceedings of the 9th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2009, held in Taipei, Taiwan, in June 2009. The 80 revised full papers were carefully reviewed and selected from 243 submissions. The papers are organized in topical sections on bioinformatics in parallel computing; cluster, grid and fault-tolerant computing; cluster distributed parallel operating systems; dependability issues in computer networks and communications; dependability issues in distributed and parallel systems; distributed scheduling and load balancing, industrial applications; information security internet; multi-core programming software tools; multimedia in parallel computing; parallel distributed databases; parallel algorithms; parallel architectures; parallel IO systems and storage systems; performance of parallel ditributed computing systems; scientific applications; self-healing, self-protecting and fault-tolerant systems; tools and environments for parallel and distributed software development; and Web service.

JCMCC

JCMCC PDF Author:
Publisher:
ISBN:
Category : Combinatorial analysis
Languages : en
Pages : 528

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Handbook of Algorithms for Physical Design Automation

Handbook of Algorithms for Physical Design Automation PDF Author: Charles J. Alpert
Publisher: CRC Press
ISBN: 1000654192
Category : Computers
Languages : en
Pages : 1044

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Book Description
The physical design flow of any project depends upon the size of the design, the technology, the number of designers, the clock frequency, and the time to do the design. As technology advances and design-styles change, physical design flows are constantly reinvented as traditional phases are removed and new ones are added to accommodate changes in

Simulated Annealing

Simulated Annealing PDF Author: Alex Scollen
Publisher:
ISBN: 9781536136753
Category : Mathematics
Languages : en
Pages : 288

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Book Description
The opening chapter of this book aims to present and analyze the application of the simulated annealing algorithm in solving parameter optimization problems of various manufacturing processes. The main specifications of the studied optimization problems are analyzed, and the tuning of the simulated annealing algorithm-specific parameters in solving process optimization problems is also discussed. Genetic algorithm, particle swarm optimization, etc., are also considered in process parameter design problems. Next, the authors describe applications of the simulated annealing method to biological macromolecular systems. The first important example is the reconstruction of an inappropriate three-dimensional (3D) structure of a functional site in a protein, built based on X-ray crystallographic experiments. The authors determine that the simulated annealing scheme is a powerful method that is applicable for resolving the local minimum problem in various scientific fields related to biological macromolecular systems. Following this, the development of the simulated annealing based MPPT method is detailed and simulations evaluating the performance of the technique are highlighted. Special focus is also paid to the parameters of the simulated annealing method, as well as which of these have the most influence based on the PV system configuration. Continuing, this collection proposes the application of simulated annealing algorithm to detect, from a fixed and random set of temperatures of the radiant zones of oven, the best temperatures that must be assigned to the heating zones. An example of the optimization of the heating stage of the high-density polyethylene (HDPE) grade sheet is presented. Another chapter discusses how, to reconstruct a porous media from two-dimensional (2D) images to three-dimensional (3D) images, several parameters (such as the spatial correlation) must be preserved. Otherwise, the 2D grain size distribution is known to be different from the 3D grain size distribution. Thus, a simulated annealing method to correct the grain size distribution from 2D to 3D is proposed. In the next study, a maximization methodology to recover energy (considering installation feasibility) was proposed to allocate recovery machines within water networks by using simulated annealing techniques. The authors suggest that simulated annealing, in the proposed methodology, is a powerful water management tool that may aid in the search for sustainability in irrigation networks. In the book's conclusion, the performance of a variable Markov chain length method in unconstrained optimization problems has been studied experimentally. For this purpose, eighteen benchmark optimization functions with different dimensions were employed to compare performance and convergence behavior of this algorithm to the standard simulated annealing algorithm with different Markov chain lengths.