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Book Hybrid Optimization

    Book Details:
  • Author : Pascal van Hentenryck
  • Publisher : Springer Science & Business Media
  • Release : 2010-11-05
  • ISBN : 144191644X
  • Pages : 562 pages

Download or read book Hybrid Optimization written by Pascal van Hentenryck and published by Springer Science & Business Media. This book was released on 2010-11-05 with total page 562 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hybrid Optimization focuses on the application of artificial intelligence and operations research techniques to constraint programming for solving combinatorial optimization problems. This book covers the most relevant topics investigated in the last ten years by leading experts in the field, and speculates about future directions for research. This book includes contributions by experts from different but related areas of research including constraint programming, decision theory, operations research, SAT, artificial intelligence, as well as others. These diverse perspectives are actively combined and contrasted in order to evaluate their relative advantages. This volume presents techniques for hybrid modeling, integrated solving strategies including global constraints, decomposition techniques, use of relaxations, and search strategies including tree search local search and metaheuristics. Various applications of the techniques presented as well as supplementary computational tools are also discussed.

Book Compiler Construction

    Book Details:
  • Author : Alan Mycroft
  • Publisher : Springer Science & Business Media
  • Release : 2006-03-21
  • ISBN : 354033050X
  • Pages : 289 pages

Download or read book Compiler Construction written by Alan Mycroft and published by Springer Science & Business Media. This book was released on 2006-03-21 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 15th International Conference on Compiler Construction, CC 2006, held in March 2006 as part of ETAPS. The 17 revised full papers presented together with three tool demonstration papers and one invited paper were carefully reviewed and selected from 71 submissions. The papers are organized in topical sections.

Book Hybrid Metaheuristics

Download or read book Hybrid Metaheuristics written by Christian Blum and published by Springer. This book was released on 2008-06-24 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimization problems are of great importance across a broad range of fields. They can be tackled, for example, by approximate algorithms such as metaheuristics. This book is intended both to provide an overview of hybrid metaheuristics to novices of the field, and to provide researchers from the field with a collection of some of the most interesting recent developments. The authors involved in this book are among the top researchers in their domain.

Book Nonlinear Programming

Download or read book Nonlinear Programming written by Anthony V. Fiacco and published by SIAM. This book was released on 1990-01-01 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analyzes the 'central' or 'dual' trajectory used by modern path following and primal/dual methods for convex / general linear programming.

Book Optimization Techniques for Hybrid Power Systems  Renewable Energy  Electric Vehicles  and Smart Grid

Download or read book Optimization Techniques for Hybrid Power Systems Renewable Energy Electric Vehicles and Smart Grid written by Hazra, Sunanda and published by IGI Global. This book was released on 2024-07-17 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimization Techniques for Hybrid Power Systems: Renewable Energy, Electric Vehicles, and Smart Grid is a comprehensive guide that delves into the intricate world of renewable energy integration and its impact on electrical systems. With the current global energy crisis and the urgent need to address climate change, this book explores the latest advancements and research surrounding optimization techniques in the realm of renewable energy. This book has a focus on nature-inspired and meta-heuristic optimization methods, and it demonstrates how these techniques have revolutionized renewable energy problem-solving and their application in real-world scenarios. It examines the challenges and opportunities in achieving a larger utilization of renewable energy sources to reduce carbon emissions and air pollutants while meeting renewable portfolio standards and enhancing energy efficiency. This book serves as a valuable resource for researchers, academicians, industry delegates, scientists, and final-year master's degree students. It covers a wide range of topics, including novel power generation technology, advanced energy conversion systems, low-carbon technology in power generation and smart grids, AI-based control strategies, data analytics, electrified transportation infrastructure, and grid-interactive building infrastructure.

Book Hybrid Advanced Optimization Methods with Evolutionary Computation Techniques in Energy Forecasting

Download or read book Hybrid Advanced Optimization Methods with Evolutionary Computation Techniques in Energy Forecasting written by Wei-Chiang Hong and published by MDPI. This book was released on 2018-10-19 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a printed edition of the Special Issue "Hybrid Advanced Optimization Methods with Evolutionary Computation Techniques in Energy Forecasting" that was published in Energies

Book Hybrid Optimization Techniques

Download or read book Hybrid Optimization Techniques written by Narendra Jussien and published by . This book was released on 2004 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Applications of Nature Inspired Computing in Renewable Energy Systems

Download or read book Applications of Nature Inspired Computing in Renewable Energy Systems written by Mellal, Mohamed Arezki and published by IGI Global. This book was released on 2021-12-17 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: Renewable energy is crucial to preserve the environment. This energy involves various systems that must be optimized and assessed to provide better performance; however, the design and development of renewable energy systems remains a challenge. It is crucial to implement the latest innovative research in the field in order to develop and improve renewable energy systems. Applications of Nature-Inspired Computing in Renewable Energy Systems discusses the latest research on nature-inspired computing approaches applied to the design and development of renewable energy systems and provides new solutions to the renewable energy domain. Covering topics such as microgrids, wind power, and artificial neural networks, it is ideal for engineers, industry professionals, researchers, academicians, practitioners, teachers, and students.

Book Hybrid Genetic Algorithms

Download or read book Hybrid Genetic Algorithms written by Leila Gharsalli and published by . This book was released on 2019 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hybrid optimization methods have known significant interest in recent years and are being growingly used to solve complex problems in science and engineering. For instance, the famous evolutionary Genetic Algorithm can integrate other techniques within its framework to produce a hybrid global algorithm that takes advantages of that combination and overcomes the disadvantages. Several forms of integration between Genetic Algorithms and other search and optimization techniques exist. This chapter aims to review that and present the design of a hybrid Genetic Algorithm incorporating another local optimization technique while recalling the main local search methods and emphasizing the different approaches for employing their information. A test case from the aerospace field is presented where a hybrid genetic algorithm is proposed for the mechanical sizing of a composite structure located in the upper part of a launcher.

Book Meta Heuristics Optimization Algorithms in Engineering  Business  Economics  and Finance

Download or read book Meta Heuristics Optimization Algorithms in Engineering Business Economics and Finance written by Vasant, Pandian M. and published by IGI Global. This book was released on 2012-09-30 with total page 735 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimization techniques have developed into a significant area concerning industrial, economics, business, and financial systems. With the development of engineering and financial systems, modern optimization has played an important role in service-centered operations and as such has attracted more attention to this field. Meta-heuristic hybrid optimization is a newly development mathematical framework based optimization technique. Designed by logicians, engineers, analysts, and many more, this technique aims to study the complexity of algorithms and problems. Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance explores the emerging study of meta-heuristics optimization algorithms and methods and their role in innovated real world practical applications. This book is a collection of research on the areas of meta-heuristics optimization algorithms in engineering, business, economics, and finance and aims to be a comprehensive reference for decision makers, managers, engineers, researchers, scientists, financiers, and economists as well as industrialists.

Book Optimization Methods Applied to Power Systems

Download or read book Optimization Methods Applied to Power Systems written by Francisco G. Montoya and published by MDPI. This book was released on 2019-07-26 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents an interesting sample of the latest advances in optimization techniques applied to electrical power engineering. It covers a variety of topics from various fields, ranging from classical optimization such as Linear and Nonlinear Programming and Integer and Mixed-Integer Programming to the most modern methods based on bio-inspired metaheuristics. The featured papers invite readers to delve further into emerging optimization techniques and their real application to case studies such as conventional and renewable energy generation, distributed generation, transport and distribution of electrical energy, electrical machines and power electronics, network optimization, intelligent systems, advances in electric mobility, etc.

Book Design of Trajectory Optimization Approach for Space Maneuver Vehicle Skip Entry Problems

Download or read book Design of Trajectory Optimization Approach for Space Maneuver Vehicle Skip Entry Problems written by Runqi Chai and published by Springer. This book was released on 2019-07-30 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the design of optimal trajectories for space maneuver vehicles (SMVs) using optimal control-based techniques. It begins with a comprehensive introduction to and overview of three main approaches to trajectory optimization, and subsequently focuses on the design of a novel hybrid optimization strategy that combines an initial guess generator with an improved gradient-based inner optimizer. Further, it highlights the development of multi-objective spacecraft trajectory optimization problems, with a particular focus on multi-objective transcription methods and multi-objective evolutionary algorithms. In its final sections, the book studies spacecraft flight scenarios with noise-perturbed dynamics and probabilistic constraints, and designs and validates new chance-constrained optimal control frameworks. The comprehensive and systematic treatment of practical issues in spacecraft trajectory optimization is one of the book’s major features, making it particularly suited for readers who are seeking practical solutions in spacecraft trajectory optimization. It offers a valuable asset for researchers, engineers, and graduate students in GNC systems, engineering optimization, applied optimal control theory, etc.

Book Sustainable Infrastructure  Breakthroughs in Research and Practice

Download or read book Sustainable Infrastructure Breakthroughs in Research and Practice written by Management Association, Information Resources and published by IGI Global. This book was released on 2019-11-01 with total page 1044 pages. Available in PDF, EPUB and Kindle. Book excerpt: The continued growth of any nation depends largely on the development of their built infrastructures and communities. By creating stable infrastructures, countries can more easily thrive in competitive international markets. Sustainable Infrastructure: Breakthroughs in Research and Practice examines sustainable development through the lens of transportation, waste management, land use planning, and governance. Highlighting a range of topics such as sustainable development, transportation planning, and regional and urban infrastructure planning, this publication is an ideal reference source for engineers, planners, government officials, developers, policymakers, legislators, researchers, academicians, and graduate-level students seeking current research on the latest trends in sustainable infrastructure.

Book Harmony Search Algorithms for Structural Design Optimization

Download or read book Harmony Search Algorithms for Structural Design Optimization written by Zong Woo Geem and published by Springer. This book was released on 2009-09-30 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: Various structures, such as buildings, bridges, and paved roads play an important role in our lives. However, these construction projects require large expenditures. Designing infrastructure cost-efficiently while satisfying all necessary design constraints is one of the most important and difficult tasks for a structural engineer. Traditionally, mathematical gradient-based optimization techniques have been applied to these designs. However, these gradient-based methods are not suitable for discrete design variables such as factory-made cross sectional area of structural members. Recently, researchers have turned their interest to phenomenon-mimicking optimization techniques because these techniques have proved able to efficiently handle discrete design variables. One of these techniques is harmony search, an algorithm developed from musical improvisation that has been applied to various structural design problems and has demonstrated cost-savings. This book gathers all the latest developments relating to the application of the harmony search algorithm in the structural design field in order for readers to efficiently understand the full spectrum of the algorithm’s potential and to easily apply the algorithm to their own structural problems. This book contains six chapters with the following subjects: standard harmony search algorithm and its applications by Lee; standard harmony search algorithm for steel frame design by Degertekin; adaptive harmony search algorithm and its applications by Saka and Hasançebi; harmony particle swarm algorithm and its applications by Li and Liu; hybrid algorithm of harmony search, particle swarm & ant colony for structural design by Kaveh and Talatahari; and parameter calibration of viscoelastic and damage functions by Mun and Geem.

Book Hybrid Metaheuristics

Download or read book Hybrid Metaheuristics written by Christian Blum and published by Springer. This book was released on 2016-05-23 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explains the most prominent and some promising new, general techniques that combine metaheuristics with other optimization methods. A first introductory chapter reviews the basic principles of local search, prominent metaheuristics, and tree search, dynamic programming, mixed integer linear programming, and constraint programming for combinatorial optimization purposes. The chapters that follow present five generally applicable hybridization strategies, with exemplary case studies on selected problems: incomplete solution representations and decoders; problem instance reduction; large neighborhood search; parallel non-independent construction of solutions within metaheuristics; and hybridization based on complete solution archives. The authors are among the leading researchers in the hybridization of metaheuristics with other techniques for optimization, and their work reflects the broad shift to problem-oriented rather than algorithm-oriented approaches, enabling faster and more effective implementation in real-life applications. This hybridization is not restricted to different variants of metaheuristics but includes, for example, the combination of mathematical programming, dynamic programming, or constraint programming with metaheuristics, reflecting cross-fertilization in fields such as optimization, algorithmics, mathematical modeling, operations research, statistics, and simulation. The book is a valuable introduction and reference for researchers and graduate students in these domains.

Book Hybrid Optimization for Decision Making in an Uncertain Environment

Download or read book Hybrid Optimization for Decision Making in an Uncertain Environment written by Pandian Vasant and published by LAP Lambert Academic Publishing. This book was released on 2011-02 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, the main significant contributions are formulation of a new non-linear membership function using fuzzy approach to capture and describe vagueness in the technological coefficients of constraints and intelligent solution methodology using hybrid meta-heuristics optimization techniques in an industrial production planning problems. The novel and innovative hybrid intelliegent such has genetic algorithms, simulated annealing, pattern search and fuzzy logic have been extensively used in this research work. Finally, it is concluded that hybrid optimization techniques are robust, less time-consuming, dependable, high quality solutions and an efficient productive tool for solving the non-linear real world problem in an uncertain industrial engineering environment. The hybrid line search with genetic algorithms and hybrid line search with simulated annealing techniques developed in this study are user friendly, easy-to-use and can serve as a teaching and research tool, besides being useful for practicing scientist, decision makers, managers and researchers in the area of industrial engineering, finance, economics and management science.