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Hari Suman Naik takes the perspective of modular systems and investigates how to enable non-expert users to innovate and design, by simplifying toolkit solution space. New production technologies like digital fabrication and modular electronics along with appropriate toolkits can offer users a significant design flexibility to innovate solutions that meet their heterogeneous and sticky needs. The author contributes towards understanding and designing toolkit solution space, first using qualitative studies to explore mechanisms for simplifying the use and structure of toolkit solution space, and then using a design study of an innovative toolkit. The findings are relevant to innovation and product managers eager to incorporate user ideas with toolkits.
This monograph offers a fundamentally new approach to facilitate the study of metabolic networks in cells. It aims to overcome the limitations of either just a single FBA solution, or an overwhelming number of extreme pathways in a realistic network. Instead it focusses on the FBA solution space and describes it in a simplified way by extracting just a bounded subspace: the Solution Space Kernel or SSK. This reduces the relevant number of flux space dimensions by orders of magnitude, and allows its location, size and shape to be characterised. It is a multi-stage process, requiring many new concepts and algorithms for manipulating polytopes in high dimensional spaces.The book introduces and develops these concepts in a pragmatic way that takes into account the difficulties of performing analyses in a flux space with dimensions counting in the hundreds or thousands. It emphasizes the details of implementation in computational code and applications to realistic models are demonstrated. For many cases, the number of constraints and flux variables that fully specify the SSK polytope is only a single or double-digit number. This allows the range of metabolic states accessible to a cell to be further interpreted geometrically in terms of a manageable set of orthogonal diameters and aspect ratios. In addition, explicit representative fluxes, giving the centre and periphery of the solution space kernel, become available for further exploration.
Presenting the concept and design and implementation of configurable intelligent optimization algorithms in manufacturing systems, this book provides a new configuration method to optimize manufacturing processes. It provides a comprehensive elaboration of basic intelligent optimization algorithms, and demonstrates how their improvement, hybridization and parallelization can be applied to manufacturing. Furthermore, various applications of these intelligent optimization algorithms are exemplified in detail, chapter by chapter. The intelligent optimization algorithm is not just a single algorithm; instead it is a general advanced optimization mechanism which is highly scalable with robustness and randomness. Therefore, this book demonstrates the flexibility of these algorithms, as well as their robustness and reusability in order to solve mass complicated problems in manufacturing. Since the genetic algorithm was presented decades ago, a large number of intelligent optimization algorithms and their improvements have been developed. However, little work has been done to extend their applications and verify their competence in solving complicated problems in manufacturing. This book will provide an invaluable resource to students, researchers, consultants and industry professionals interested in engineering optimization. It will also be particularly useful to three groups of readers: algorithm beginners, optimization engineers and senior algorithm designers. It offers a detailed description of intelligent optimization algorithms to algorithm beginners; recommends new configurable design methods for optimization engineers, and provides future trends and challenges of the new configuration mechanism to senior algorithm designers.
The past two decades have observed dramatic advancement in our understanding of the universe. Such progress in turn has triggered further questions yet to be answered. Aspired by such prospects, several institutions dedicated to the research of cosmology have been established in the last decade, which include the Leung Center for Cosmology and Particle Astrophysics (LeCosPA) at the National Taiwan University. To celebrate its 4th anniversary the First LeCosPA Symposium was held in February 2012 at NTU. Internationally renowned physicists and authorities in cosmology, particle astrophysics, gravity and general relativity, and high energy physics convened to survey our present understanding of the universe and to explore the future prospects from both theoretical and experimental perspectives. Topics covered include the detection and the nature of dark matter and dark energy, the fundamental understanding of space, time, mass and gravity itself, cosmological constant and vacuum energy, etc. This book should be valuable to researchers and students in the field of cosmology and particle astrophysics.
A remarkable facet of the human brain is its ability to manage multiple tasks with apparent simultaneity. Knowledge learned from one task can then be used to enhance problem-solving in other related tasks. In machine learning, the idea of leveraging relevant information across related tasks as inductive biases to enhance learning performance has attracted significant interest. In contrast, attempts to emulate the human brain’s ability to generalize in optimization – particularly in population-based evolutionary algorithms – have received little attention to date. Recently, a novel evolutionary search paradigm, Evolutionary Multi-Task (EMT) optimization, has been proposed in the realm of evolutionary computation. In contrast to traditional evolutionary searches, which solve a single task in a single run, evolutionary multi-tasking algorithm conducts searches concurrently on multiple search spaces corresponding to different tasks or optimization problems, each possessing a unique function landscape. By exploiting the latent synergies among distinct problems, the superior search performance of EMT optimization in terms of solution quality and convergence speed has been demonstrated in a variety of continuous, discrete, and hybrid (mixture of continuous and discrete) tasks. This book discusses the foundations and methodologies of developing evolutionary multi-tasking algorithms for complex optimization, including in domains characterized by factors such as multiple objectives of interest, high-dimensional search spaces and NP-hardness.
The revised and updated third edition of Simplified TRIZ: New Problem Solving Applications for Technical and Business Professionals, 3rd Edition continues to demystify TRIZ (systematic innovation), the internationally acclaimed problem solving technique. It demonstrates how TRIZ can be used as a stand alone methodology or used to enhance Lean, Six Sigma, and other systems of organizational improvement. Simplified TRIZ 3rd Edition once again strikes the perfect balance between overly complex and overly simplified, making the effective application of TRIZ accessible to a wide audience. In addition to numerous exercises, worksheets, and tables that further illustrate the concepts of this multinational method, this indispensible volume: Presents a new model for problem solving based on four TRIZ tenets ― contradictions, resources, ideality, and patterns of evolution ― elucidated for better understanding and application Contains three new chapters: Functional analysis - Emphasizes a "how to" approach to functional analysis that strongly improves your ability to define the problem to be solved, radically enhancing the value of the creative solutions that TRIZ makes possible. Innovative solutions for difficult challenges – Two detailed case studies sharing the experiences in solving challenging problems in innovative ways Systematic Innovation on the fly – How to utilize individual innovation tools for quick innovative effect Multiple other new case studies throughout The addition of Lean in the chapter on integrated methodologies More links between chapters increasing the understanding of application More application examples demonstrating application techniques of professionals Clarifies how the patterns of evolution are used to generate both "what-if" scenarios, and real-world forecasts with remarkable accuracy. Illustrates how small and large companies, government agencies, and other groups of people are using TRIZ and achieving significant results and gives you step-by-step instructions on bringing TRIZ into your organization. With the valuable tools explained within these pages you will be able to find innovative solutions to problems, understand the natural evolution of systems, and develop more and better ideas faster.
In many decision problems, e.g. from the area of production and logistics manage ment, the evaluation of alternatives and the determination of an optimal or at least suboptimal solution is an important but dif?cult task. For most such problems no ef?cient algorithm is known and classical approaches of Operations Research like Mixed Integer Linear Programming or Dynamic Pro gramming are often of limited use due to excessive computation time. Therefore, dedicated heuristic solution approaches have been developed which aim at providing good solutions in reasonable time for a given problem. However, such methods have two major drawbacks: First, they are tailored to a speci?c prob lem and their adaption to other problems is dif?cult and in many cases even impos sible. Second, they are typically designed to “build” one single solution in the most effective way, whereas most decision problems have a vast number of feasible solu tions. Hence usually the chances are high that there exist better ones. To overcome these limitations, problem independent search strategies, in particular metaheuris tics, have been proposed. This book provides an elementary step by step introduction to metaheuristics focusing on the search concepts they are based on. The ?rst part demonstrates un derlying concepts of search strategies using a simple example optimization problem.
Constraint satisfaction and constraint programming have shown to be very simple but powerful ideas, with applications in various areas. Still, in the last ten years, the simple notion of constraints has shown some deficiencies concerning both theory and practice, typically in the way over-constrained problems and preferences are treated. For this reason, the notion of soft constraints has been introduced with semiring-based soft constraints and valued constraints being the two main general frameworks. This book includes formal definitions and properties of semiring-based soft constraints, as well as their use within constraint logic programming and concurrent constraint programming. Moreover, the author shows how to adapt existing notions and techniques such as abstraction and interchangeability to the soft constraint framework and it is demonstrated how soft constraints can be used in some application areas, such as security. Overall, this book is a great starting point for anyone interested in understanding the basics of semiring-based soft constraints.
Integrated earthquake simulation (IES) is a new method for evaluating earthquake hazards and disasters induced in cities and urban areas. It utilises a sequence of numerical simulations of such aspects as earthquake wave propagation, ground motion amplification, structural seismic response, and mass evacuation. This book covers the basics of numerical analysis methods of solving wave equations, analyzing structural responses, and developing agent models for mass evaluation, which are implemented in IES. IES makes use of Monte-Carlo simulation, which takes account of the effects of uncertainties related to earthquake scenarios and the modeling of structures both above and below ground, and facilitates a better estimate of overall earthquake and disaster hazard. It also presents the recent achievement of enhancing IES with high-performance computing capability that can make use of automated models which employ various numerical analysis methods. Detailed examples of IES for the Tokyo Metropolis Earthquake and the Nankai Trough Earthquake are given, which use large scale analysis models of actual cities and urban areas.
Unlock the power of algorithms with this accessible and richly illustrated guide. Whether you're a novice eager to learn the fundamentals of computer science or a professional preparing for interviews, this book provides clear explanations and practical examples to help you get an overview of problem-solving techniques. Explore key concepts, from data structures to algorithmic design, and discover how to apply them in everyday scenarios. Perfect for readers of all levels, this guide transforms complex ideas into easily digestible insights.