Multi Level Evolutionary Algorithms Resource Allocation Utilizing Model Based Systems Engineering

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Multi-level Evolutionary Algorithms Resource Allocation Utilizing Model-based Systems Engineering

Author : Bhanuchander Reddy Poreddy
Publisher :
ISBN 13 :
Total Pages : 116 pages
Book Rating : 4.:/5 (952 download)

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Book Synopsis Multi-level Evolutionary Algorithms Resource Allocation Utilizing Model-based Systems Engineering by : Bhanuchander Reddy Poreddy

Download or read book Multi-level Evolutionary Algorithms Resource Allocation Utilizing Model-based Systems Engineering written by Bhanuchander Reddy Poreddy and published by . This book was released on 2016 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This research presents an innovative approach to solve the resource allocation problems using Multi-level Evolutionary Algorithms. Evolutionary Algorithms are used to solve resource allocation problems in different domains and their results are then incorporated into a higher level system solution using another Evolutionary Algorithm to solve base camp planning problems currently faced by the U.S. Department of Defense. Two models are introduced to solve two domain specific models: a logistics model and a power model. The logistic model evaluates routes for logistics vehicles on a daily basis with a goal of reducing fuel usage by delivery trucks. The evaluation includes distance traveled and other constraints such as available resource levels and priority of refilling. The Power model incorporates an open source electrical distribution simulator to evaluate the placement of structures and generators on a map to reduce fuel usage. These models are used as the fitness function for two separate Evolutionary Algorithms to find solutions that reduce fuel consumption within the individual domains. A multi-level Evolutionary Algorithm is then presented, where the two Evolutionary Algorithms share information with a higher level Evolutionary Algorithm that combines the results to account for problem complexity from the interfacing of these systems. The results of using these methods on 5 different base camp sizes show that the techniques provide a considerable reduction of fuel consumption. While the Evolutionary Algorithms show significant improvement over the current methods, the multi-level Evolutionary Algorithm shows better performance than using individual Evolutionary Algorithms, with the results showing a 19.25 % decrease in fuel consumption using the multi-level Evolutionary Algorithm"--Abstract, page iii.

Evolutionary Algorithms in Engineering Applications

Author : Dipankar Dasgupta
Publisher : Springer Science & Business Media
ISBN 13 : 9783540620211
Total Pages : 584 pages
Book Rating : 4.6/5 (22 download)

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Book Synopsis Evolutionary Algorithms in Engineering Applications by : Dipankar Dasgupta

Download or read book Evolutionary Algorithms in Engineering Applications written by Dipankar Dasgupta and published by Springer Science & Business Media. This book was released on 1997-05-20 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evolutionary algorithms - an overview. Robust encodings in genetic algorithms. Genetic engineering and design problems. The generation of form using an evolutionary approach. Evolutionary optimization of composite structures. Flaw detection and configuration with genetic algorithms. A genetic algorithm approach for river management. Hazards in genetic design methodologies. The identification and characterization of workload classes. Lossless and Lossy data compression. Database design with genetic algorithms. Designing multiprocessor scheduling algorithms using a distributed genetic algorithm system. Prototype based supervised concept learning using genetic algorithms. Prototyping intelligent vehicle modules using evolutionary algorithms. Gate-level evolvable hardware: empirical study and application. Physical design of VLSI circuits and the application of genetic algorithms. Statistical generalization of performance-related heuristcs for knowledge-lean applications. Optimal scheduling of thermal power generation using evolutionary algorithms. Genetic algorithms and genetic programming for control. Global structure evolution and local parameter learning for control system model reductions. Adaptive recursive filtering using evolutionary algorithms. Numerical techniques for efficient sonar bearing and range searching in the near field using genetic algorithms. Signal design for radar imaging in radar astronomy: genetic optimization. Evolutionary algorithms in target acquisition and sensor fusion. Strategies for the integration of evolutionary/ adaptive search with the engineering design process. identification of mechanical inclusions. GeneAS: a robust optimal design technique for mechanical component design. Genetic algorithms for optimal cutting. Practical issues and recent advances in Job- and Open-Shop scheduling. The key steps to achieve mass customization.

Model-Driven Engineering Languages and Systems

Author : Juergen Dingel
Publisher : Springer
ISBN 13 : 3319116533
Total Pages : 712 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Model-Driven Engineering Languages and Systems by : Juergen Dingel

Download or read book Model-Driven Engineering Languages and Systems written by Juergen Dingel and published by Springer. This book was released on 2014-09-19 with total page 712 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 17th International Conference on Model Driven Engineering Languages and Systems, MODELS 2014, held in Valencia, Spain, in September/October 2014. The 41 full papers presented in this volume were carefully reviewed and selected from a total of 126 submissions. The scope of the conference series is broad, encompassing modeling languages, methods, tools, and applications considered from theoretical and practical angles and in academic and industrial settings. The papers report on the use of modeling in a wide range of cloud, mobile, and web computing, model transformation behavioral modeling, MDE: past, present, future, formal semantics, specification, and verification, models at runtime, feature and variability modeling, composition and adaptation, practices and experience, modeling for analysis, pragmatics, model extraction, manipulation and persistence, querying, and reasoning.

Optimization Using Evolutionary Algorithms and Metaheuristics

Author : Kaushik Kumar
Publisher : CRC Press
ISBN 13 : 1000537145
Total Pages : 136 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Optimization Using Evolutionary Algorithms and Metaheuristics by : Kaushik Kumar

Download or read book Optimization Using Evolutionary Algorithms and Metaheuristics written by Kaushik Kumar and published by CRC Press. This book was released on 2019-08-22 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: Metaheuristic optimization is a higher-level procedure or heuristic designed to find, generate, or select a heuristic (partial search algorithm) that may provide a sufficiently good solution to an optimization problem, especially with incomplete or imperfect information or limited computation capacity. This is usually applied when two or more objectives are to be optimized simultaneously. This book is presented with two major objectives. Firstly, it features chapters by eminent researchers in the field providing the readers about the current status of the subject. Secondly, algorithm-based optimization or advanced optimization techniques, which are applied to mostly non-engineering problems, are applied to engineering problems. This book will also serve as an aid to both research and industry. Usage of these methodologies would enable the improvement in engineering and manufacturing technology and support an organization in this era of low product life cycle. Features: Covers the application of recent and new algorithms Focuses on the development aspects such as including surrogate modeling, parallelization, game theory, and hybridization Presents the advances of engineering applications for both single-objective and multi-objective optimization problems Offers recent developments from a variety of engineering fields Discusses Optimization using Evolutionary Algorithms and Metaheuristics applications in engineering

Industrial Applications of Evolutionary Algorithms

Author : Ernesto Sanchez
Publisher : Springer Science & Business Media
ISBN 13 : 3642274676
Total Pages : 137 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Industrial Applications of Evolutionary Algorithms by : Ernesto Sanchez

Download or read book Industrial Applications of Evolutionary Algorithms written by Ernesto Sanchez and published by Springer Science & Business Media. This book was released on 2012-01-28 with total page 137 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Industrial applications of evolutionary algorithms" is intended as a resource for both experienced users of evolutionary algorithms and researchers that are beginning to approach these fascinating optimization techniques. Experienced users will find interesting details of real-world problems, advice on solving issues related to fitness computation or modeling, and suggestions on how to set the appropriate parameters to reach optimal solutions. Beginners will find a thorough introduction to evolutionary computation, and a complete presentation of several classes of evolutionary algorithms exploited to solve different problems. Inside, scholars will find useful examples on how to fill the gap between purely theoretical examples and industrial problems. The collection of case studies presented is also extremely appealing for anyone interested in Evolutionary Computation, but without direct access to extensive technical literature on the subject. After the introduction, each chapter in the book presents a test case, and is organized so that it can be read independently from the rest: all the information needed to understand the problem and the approach is reported in each part. Chapters are grouped by three themes of particular interest for real-world applications, namely prototype-based validation, reliability and test generation. The authors hope that this volume will help to expose the flexibility and efficiency of evolutionary techniques, encouraging more companies to adopt them; and that, most of all, you will enjoy your reading.

Advances in Evolutionary Computing for System Design

Author : Vasile Palade
Publisher : Springer
ISBN 13 : 3540723773
Total Pages : 325 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Advances in Evolutionary Computing for System Design by : Vasile Palade

Download or read book Advances in Evolutionary Computing for System Design written by Vasile Palade and published by Springer. This book was released on 2007-07-07 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evolutionary computing paradigms offer robust and powerful adaptive search mechanisms for system design. This book’s thirteen chapters cover a wide area of topics in evolutionary computing and applications, including an introduction to evolutionary computing in system design; evolutionary neuro-fuzzy systems; and evolution of fuzzy controllers. The book will be useful to researchers in intelligent systems with interest in evolutionary computing, as well as application engineers and system designers.

Evolutionary Computation for Modeling and Optimization

Author : Daniel Ashlock
Publisher : Springer Science & Business Media
ISBN 13 : 0387319093
Total Pages : 578 pages
Book Rating : 4.3/5 (873 download)

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Book Synopsis Evolutionary Computation for Modeling and Optimization by : Daniel Ashlock

Download or read book Evolutionary Computation for Modeling and Optimization written by Daniel Ashlock and published by Springer Science & Business Media. This book was released on 2006-04-04 with total page 578 pages. Available in PDF, EPUB and Kindle. Book excerpt: Concentrates on developing intuition about evolutionary computation and problem solving skills and tool sets. Lots of applications and test problems, including a biotechnology chapter.

Evolutionary Algorithms for Solving Multi-Objective Problems

Author : Carlos Coello Coello
Publisher : Springer Science & Business Media
ISBN 13 : 1475751842
Total Pages : 600 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis Evolutionary Algorithms for Solving Multi-Objective Problems by : Carlos Coello Coello

Download or read book Evolutionary Algorithms for Solving Multi-Objective Problems written by Carlos Coello Coello and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 600 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Modeling Applications and Theoretical Innovations in Interdisciplinary Evolutionary Computation

Author : Samuelson Hong, Wei-Chiang
Publisher : IGI Global
ISBN 13 : 1466636297
Total Pages : 357 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Modeling Applications and Theoretical Innovations in Interdisciplinary Evolutionary Computation by : Samuelson Hong, Wei-Chiang

Download or read book Modeling Applications and Theoretical Innovations in Interdisciplinary Evolutionary Computation written by Samuelson Hong, Wei-Chiang and published by IGI Global. This book was released on 2013-03-31 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evolutionary computation has emerged as a major topic in the scientific community as many of its techniques have successfully been applied to solve problems in a wide variety of fields. Modeling Applications and Theoretical Innovations in Interdisciplinary Evolutionary Computation provides comprehensive research on emerging theories and its aspects on intelligent computation. Particularly focusing on breaking trends in evolutionary computing, algorithms, and programming, this publication serves to support professionals, government employees, policy and decision makers, as well as students in this scientific field.

Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms

Author : Dash, Sujata
Publisher : IGI Global
ISBN 13 : 152252858X
Total Pages : 567 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms by : Dash, Sujata

Download or read book Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms written by Dash, Sujata and published by IGI Global. This book was released on 2017-08-10 with total page 567 pages. Available in PDF, EPUB and Kindle. Book excerpt: The digital age is ripe with emerging advances and applications in technological innovations. Mimicking the structure of complex systems in nature can provide new ideas on how to organize mechanical and personal systems. The Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms is an essential scholarly resource on current algorithms that have been inspired by the natural world. Featuring coverage on diverse topics such as cellular automata, simulated annealing, genetic programming, and differential evolution, this reference publication is ideal for scientists, biological engineers, academics, students, and researchers that are interested in discovering what models from nature influence the current technology-centric world.

Introduction to Optimization Analysis in Hydrosystem Engineering

Author : Ehsan Goodarzi
Publisher : Springer Science & Business Media
ISBN 13 : 3319044001
Total Pages : 301 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Introduction to Optimization Analysis in Hydrosystem Engineering by : Ehsan Goodarzi

Download or read book Introduction to Optimization Analysis in Hydrosystem Engineering written by Ehsan Goodarzi and published by Springer Science & Business Media. This book was released on 2014-02-06 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the basics of linear and nonlinear optimization analysis for both single and multi-objective problems in hydrosystem engineering. The book includes several examples with various levels of complexity in different fields of water resources engineering. The examples are solved step by step to assist the reader and to make it easier to understand the concepts. In addition, the latest tools and methods are presented to help students, researchers, engineers and water managers to properly conceptualize and formulate resource allocation problems, and to deal with the complexity of constraints in water demand and available supplies in an appropriate way.

Optimal Resource Allocation

Author : Igor A. Ushakov
Publisher : John Wiley & Sons
ISBN 13 : 1118400704
Total Pages : 165 pages
Book Rating : 4.1/5 (184 download)

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Book Synopsis Optimal Resource Allocation by : Igor A. Ushakov

Download or read book Optimal Resource Allocation written by Igor A. Ushakov and published by John Wiley & Sons. This book was released on 2013-05-17 with total page 165 pages. Available in PDF, EPUB and Kindle. Book excerpt: A UNIQUE ENGINEERING AND STATISTICAL APPROACH TO OPTIMAL RESOURCE ALLOCATION Optimal Resource Allocation: With Practical Statistical Applications and Theory features the application of probabilistic and statistical methods used in reliability engineering during the different phases of life cycles of technical systems. Bridging the gap between reliability engineering and applied mathematics, the book outlines different approaches to optimal resource allocation and various applications of models and algorithms for solving real-world problems. In addition, the fundamental background on optimization theory and various illustrative numerical examples are provided. The book also features: An overview of various approaches to optimal resource allocation, from classical Lagrange methods to modern algorithms based on ideas of evolution in biology Numerous exercises and case studies from a variety of areas, including communications, transportation, energy transmission, and counterterrorism protection The applied methods of optimization with various methods of optimal redundancy problem solutions as well as the numerical examples and statistical methods needed to solve the problems Practical thoughts, opinions, and judgments on real-world applications of reliability theory and solves practical problems using mathematical models and algorithms Optimal Resource Allocation is a must-have guide for electrical, mechanical, and reliability engineers dealing with engineering design and optimal reliability problems. In addition, the book is excellent for graduate and PhD-level courses in reliability theory and optimization.

Introduction to Evolutionary Computing

Author : Agoston E. Eiben
Publisher : Springer Science & Business Media
ISBN 13 : 3662050943
Total Pages : 307 pages
Book Rating : 4.6/5 (62 download)

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Book Synopsis Introduction to Evolutionary Computing by : Agoston E. Eiben

Download or read book Introduction to Evolutionary Computing written by Agoston E. Eiben and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first complete overview of evolutionary computing, the collective name for a range of problem-solving techniques based on principles of biological evolution, such as natural selection and genetic inheritance. The text is aimed directly at lecturers and graduate and undergraduate students. It is also meant for those who wish to apply evolutionary computing to a particular problem or within a given application area. The book contains quick-reference information on the current state-of-the-art in a wide range of related topics, so it is of interest not just to evolutionary computing specialists but to researchers working in other fields.

International Asia Conference on Industrial Engineering and Management Innovation (IEMI2012) Proceedings

Author : Ershi Qi
Publisher : Springer Science & Business Media
ISBN 13 : 3642384455
Total Pages : 1666 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis International Asia Conference on Industrial Engineering and Management Innovation (IEMI2012) Proceedings by : Ershi Qi

Download or read book International Asia Conference on Industrial Engineering and Management Innovation (IEMI2012) Proceedings written by Ershi Qi and published by Springer Science & Business Media. This book was released on 2013-05-29 with total page 1666 pages. Available in PDF, EPUB and Kindle. Book excerpt: The International Conference on Industrial Engineering and Engineering Management is sponsored by the Chinese Industrial Engineering Institution, CMES, which is the only national-level academic society for Industrial Engineering. The conference is held annually as the major event in this arena. Being the largest and the most authoritative international academic conference held in China, it provides an academic platform for experts and entrepreneurs in the areas of international industrial engineering and management to exchange their research findings. Many experts in various fields from China and around the world gather together at the conference to review, exchange, summarize and promote their achievements in the fields of industrial engineering and engineering management. For example, some experts pay special attention to the current state of the application of related techniques in China as well as their future prospects, such as green product design, quality control and management, supply chain and logistics management to address the need for, amongst other things low-carbon, energy-saving and emission-reduction. They also offer opinions on the outlook for the development of related techniques. The proceedings offers impressive methods and concrete applications for experts from colleges and universities, research institutions and enterprises who are engaged in theoretical research into industrial engineering and engineering management and its applications. As all the papers are of great value from both an academic and a practical point of view, they also provide research data for international scholars who are investigating Chinese style enterprises and engineering management.

Multi-Level Decision Making

Author : Guangquan Zhang
Publisher : Springer
ISBN 13 : 3662460599
Total Pages : 385 pages
Book Rating : 4.6/5 (624 download)

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Book Synopsis Multi-Level Decision Making by : Guangquan Zhang

Download or read book Multi-Level Decision Making written by Guangquan Zhang and published by Springer. This book was released on 2015-02-07 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph presents new developments in multi-level decision-making theory, technique and method in both modeling and solution issues. It especially presents how a decision support system can support managers in reaching a solution to a multi-level decision problem in practice. This monograph combines decision theories, methods, algorithms and applications effectively. It discusses in detail the models and solution algorithms of each issue of bi-level and tri-level decision-making, such as multi-leaders, multi-followers, multi-objectives, rule-set-based, and fuzzy parameters. Potential readers include organizational managers and practicing professionals, who can use the methods and software provided to solve their real decision problems; PhD students and researchers in the areas of bi-level and multi-level decision-making and decision support systems; students at an advanced undergraduate, master’s level in information systems, business administration, or the application of computer science.

Design Space Exploration and Resource Management of Multi/Many-Core Systems

Author : Amit Kumar Singh
Publisher : MDPI
ISBN 13 : 3036508767
Total Pages : 218 pages
Book Rating : 4.0/5 (365 download)

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Book Synopsis Design Space Exploration and Resource Management of Multi/Many-Core Systems by : Amit Kumar Singh

Download or read book Design Space Exploration and Resource Management of Multi/Many-Core Systems written by Amit Kumar Singh and published by MDPI. This book was released on 2021-05-10 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: The increasing demand of processing a higher number of applications and related data on computing platforms has resulted in reliance on multi-/many-core chips as they facilitate parallel processing. However, there is a desire for these platforms to be energy-efficient and reliable, and they need to perform secure computations for the interest of the whole community. This book provides perspectives on the aforementioned aspects from leading researchers in terms of state-of-the-art contributions and upcoming trends.

Data-Driven Evolutionary Optimization

Author : Yaochu Jin
Publisher : Springer Nature
ISBN 13 : 3030746402
Total Pages : 393 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Data-Driven Evolutionary Optimization by : Yaochu Jin

Download or read book Data-Driven Evolutionary Optimization written by Yaochu Jin and published by Springer Nature. This book was released on 2021-06-28 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intended for researchers and practitioners alike, this book covers carefully selected yet broad topics in optimization, machine learning, and metaheuristics. Written by world-leading academic researchers who are extremely experienced in industrial applications, this self-contained book is the first of its kind that provides comprehensive background knowledge, particularly practical guidelines, and state-of-the-art techniques. New algorithms are carefully explained, further elaborated with pseudocode or flowcharts, and full working source code is made freely available. This is followed by a presentation of a variety of data-driven single- and multi-objective optimization algorithms that seamlessly integrate modern machine learning such as deep learning and transfer learning with evolutionary and swarm optimization algorithms. Applications of data-driven optimization ranging from aerodynamic design, optimization of industrial processes, to deep neural architecture search are included.