Agent Based Optimization

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Agent-Based Optimization

Author : Ireneusz Czarnowski,Piotr Jędrzejowicz,Janusz Kacprzyk
Publisher : Springer
Page : 208 pages
File Size : 40,5 Mb
Release : 2012-12-14
Category : Technology & Engineering
ISBN : 9783642340970

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Agent-Based Optimization by Ireneusz Czarnowski,Piotr Jędrzejowicz,Janusz Kacprzyk Pdf

This volume presents a collection of original research works by leading specialists focusing on novel and promising approaches in which the multi-agent system paradigm is used to support, enhance or replace traditional approaches to solving difficult optimization problems. The editors have invited several well-known specialists to present their solutions, tools, and models falling under the common denominator of the agent-based optimization. The book consists of eight chapters covering examples of application of the multi-agent paradigm and respective customized tools to solve difficult optimization problems arising in different areas such as machine learning, scheduling, transportation and, more generally, distributed and cooperative problem solving.

Agent-Based Evolutionary Search

Author : Ruhul A. Sarker,Tapabrata Ray
Publisher : Springer Science & Business Media
Page : 293 pages
File Size : 55,5 Mb
Release : 2010-07-12
Category : Technology & Engineering
ISBN : 9783642134258

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Agent-Based Evolutionary Search by Ruhul A. Sarker,Tapabrata Ray Pdf

Agent based evolutionary search is an emerging paradigm in computational int- ligence offering the potential to conceptualize and solve a variety of complex problems such as currency trading, production planning, disaster response m- agement, business process management etc. There has been a significant growth in the number of publications related to the development and applications of agent based systems in recent years which has prompted special issues of journals and dedicated sessions in premier conferences. The notion of an agent with its ability to sense, learn and act autonomously - lows the development of a plethora of efficient algorithms to deal with complex problems. This notion of an agent differs significantly from a restrictive definition of a solution in an evolutionary algorithm and opens up the possibility to model and capture emergent behavior of complex systems through a natural age- oriented decomposition of the problem space. While this flexibility of represen- tion offered by agent based systems is widely acknowledged, they need to be - signed for specific purposes capturing the right level of details and description. This edited volume is aimed to provide the readers with a brief background of agent based evolutionary search, recent developments and studies dealing with various levels of information abstraction and applications of agent based evo- tionary systems. There are 12 peer reviewed chapters in this book authored by d- tinguished researchers who have shared their experience and findings spanning across a wide range of applications.

Multi-agent Optimization

Author : Angelia Nedić,Jong-Shi Pang,Gesualdo Scutari,Ying Sun
Publisher : Springer
Page : 310 pages
File Size : 41,5 Mb
Release : 2018-11-01
Category : Business & Economics
ISBN : 9783319971421

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Multi-agent Optimization by Angelia Nedić,Jong-Shi Pang,Gesualdo Scutari,Ying Sun Pdf

This book contains three well-written research tutorials that inform the graduate reader about the forefront of current research in multi-agent optimization. These tutorials cover topics that have not yet found their way in standard books and offer the reader the unique opportunity to be guided by major researchers in the respective fields. Multi-agent optimization, lying at the intersection of classical optimization, game theory, and variational inequality theory, is at the forefront of modern optimization and has recently undergone a dramatic development. It seems timely to provide an overview that describes in detail ongoing research and important trends. This book concentrates on Distributed Optimization over Networks; Differential Variational Inequalities; and Advanced Decomposition Algorithms for Multi-agent Systems. This book will appeal to both mathematicians and mathematically oriented engineers and will be the source of inspiration for PhD students and researchers.

Agent-Based Hybrid Intelligent Systems

Author : Zili Zhang (Ph.D.),Chengqi Zhang
Publisher : Springer Science & Business Media
Page : 200 pages
File Size : 52,5 Mb
Release : 2004-01-28
Category : Computers
ISBN : 9783540209089

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Agent-Based Hybrid Intelligent Systems by Zili Zhang (Ph.D.),Chengqi Zhang Pdf

Solving complex problems in real-world contexts, such as financial investment planning or mining large data collections, involves many different sub-tasks, each of which requires different techniques. To deal with such problems, a great diversity of intelligent techniques are available, including traditional techniques like expert systems approaches and soft computing techniques like fuzzy logic, neural networks, or genetic algorithms. These techniques are complementary approaches to intelligent information processing rather than competing ones, and thus better results in problem solving are achieved when these techniques are combined in hybrid intelligent systems. Multi-Agent Systems are ideally suited to model the manifold interactions among the many different components of hybrid intelligent systems. This book introduces agent-based hybrid intelligent systems and presents a framework and methodology allowing for the development of such systems for real-world applications. The authors focus on applications in financial investment planning and data mining.

Agent-Based Evolutionary Search

Author : Ruhul A. Sarker,Tapabrata Ray
Publisher : Springer
Page : 291 pages
File Size : 41,5 Mb
Release : 2010-06-09
Category : Mathematics
ISBN : 3642134246

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Agent-Based Evolutionary Search by Ruhul A. Sarker,Tapabrata Ray Pdf

Agent based evolutionary search is an emerging paradigm in computational int- ligence offering the potential to conceptualize and solve a variety of complex problems such as currency trading, production planning, disaster response m- agement, business process management etc. There has been a significant growth in the number of publications related to the development and applications of agent based systems in recent years which has prompted special issues of journals and dedicated sessions in premier conferences. The notion of an agent with its ability to sense, learn and act autonomously - lows the development of a plethora of efficient algorithms to deal with complex problems. This notion of an agent differs significantly from a restrictive definition of a solution in an evolutionary algorithm and opens up the possibility to model and capture emergent behavior of complex systems through a natural age- oriented decomposition of the problem space. While this flexibility of represen- tion offered by agent based systems is widely acknowledged, they need to be - signed for specific purposes capturing the right level of details and description. This edited volume is aimed to provide the readers with a brief background of agent based evolutionary search, recent developments and studies dealing with various levels of information abstraction and applications of agent based evo- tionary systems. There are 12 peer reviewed chapters in this book authored by d- tinguished researchers who have shared their experience and findings spanning across a wide range of applications.

Process-Oriented Analysis and Validation of Multi-Agent-Based Simulations

Author : Nicolas Denz
Publisher : Logos Verlag Berlin GmbH
Page : 445 pages
File Size : 49,5 Mb
Release : 2014-12-31
Category : Computers
ISBN : 9783832538743

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Process-Oriented Analysis and Validation of Multi-Agent-Based Simulations by Nicolas Denz Pdf

In multi-agent-based simulation (MABS) the behavior of individual actors is modeled in detail. The analysis and validation of these models is rated as difficult and requires support by innovative techniques and tools. Problems include model complexity, the amount and often qualitative representation of simulation results, and the typical dichotomy between microscopic modeling and macroscopic observation perspectives. In recent years, data mining has been increasingly applied as a support technique in this context. A particularly promising approach is found in the field of process mining. Due to its rooting in business process analysis, process mining shares several process- and organization-oriented analysis perspectives and use cases with agent-based modeling. This thesis proposes a conceptual framework for the systematic application of process mining to the analysis and validation of MABS. As a foundation, agent-oriented analysis perspectives and simulation-specific use cases are identified and complemented with methods, techniques, and results from the literature. A partial formalization of perspectives and use cases is sketched by utilizing concepts from process modeling and software engineering. Beyond the conceptual work, process mining is applied in two case studies related to different modeling and simulation approaches.

Computational Intelligence based Optimization of Manufacturing Process for Sustainable Materials

Author : Deepak Sinwar,Kamalakanta Muduli,Vijaypal Singh Dhaka,Vijander Singh
Publisher : CRC Press
Page : 211 pages
File Size : 44,9 Mb
Release : 2023-09-25
Category : Technology & Engineering
ISBN : 9781000932935

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Computational Intelligence based Optimization of Manufacturing Process for Sustainable Materials by Deepak Sinwar,Kamalakanta Muduli,Vijaypal Singh Dhaka,Vijander Singh Pdf

The text comprehensively discusses computational models including artificial neural networks, agent-based models, and decision field theory for reliability engineering. It will serve as an ideal reference text for graduate students and academic researchers in the fields of industrial engineering, manufacturing engineering, computer engineering, and materials science. Discusses the development of sustainable materials using metaheuristic approaches. Covers computational models such as agent-based models, ontology, and decision field theory for reliability engineering. Presents swarm intelligence methods such as ant colony optimization, particle swarm optimization, and grey wolf optimization for solving the manufacturing process. Include case studies for industrial optimizations. Explores the use of computational optimization for reliability and maintainability theory. The text covers swarm intelligence techniques including ant colony optimization, particle swarm optimization, cuckoo search, and genetic algorithms for solving complex industrial problems of the manufacturing industry as well as predicting reliability, maintainability, and availability of several industrial components.

Multi-Agent-Based Simulations Applied to Biological and Environmental Systems

Author : Adamatti, Diana Francisca
Publisher : IGI Global
Page : 406 pages
File Size : 44,8 Mb
Release : 2016-12-12
Category : Computers
ISBN : 9781522517573

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Multi-Agent-Based Simulations Applied to Biological and Environmental Systems by Adamatti, Diana Francisca Pdf

The discovery and development of new computational methods have expanded the capabilities and uses of simulations. With agent-based models, the applications of computer simulations are significantly enhanced. Multi-Agent-Based Simulations Applied to Biological and Environmental Systems is a pivotal reference source for the latest research on the implementation of autonomous agents in computer simulation paradigms. Featuring extensive coverage on relevant applications, such as biodiversity conservation, pollution reduction, and environmental risk assessment, this publication is an ideal source for researchers, academics, engineers, practitioners, and professionals seeking material on various issues surrounding the use of agent-based simulations.

Theoretical and Practical Frameworks for Agent-Based Systems

Author : Zhang, Yu
Publisher : IGI Global
Page : 343 pages
File Size : 54,9 Mb
Release : 2012-05-31
Category : Computers
ISBN : 9781466615663

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Theoretical and Practical Frameworks for Agent-Based Systems by Zhang, Yu Pdf

Many everyday dilemmas existing in the real world are complex and difficult to solve or fix, ranging from tax evasion to dispatching taxis to scheduling patient visits in hospitals, and much more. Within these complicated problems, however, lies the potential to be simplified or solved by intelligent agents and multi-agent systems. Theoretical and Practical Frameworks for Agent-Based Systems tackles these real problems and many more, bringing the theoretical research of intelligent agents to researchers and practitioners in academia, government, and innumerable industries. Professionals and experts in every field ranging from education to healthcare and beyond will find this reference to be essential in the understanding of agents, and researchers currently working in the field of intelligent agents will benefit from this exciting examination of practical applications.

Population-Based Approaches to the Resource-Constrained and Discrete-Continuous Scheduling

Author : Ewa Ratajczak-Ropel,Aleksander Skakovski
Publisher : Springer
Page : 236 pages
File Size : 48,9 Mb
Release : 2017-08-21
Category : Technology & Engineering
ISBN : 9783319628936

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Population-Based Approaches to the Resource-Constrained and Discrete-Continuous Scheduling by Ewa Ratajczak-Ropel,Aleksander Skakovski Pdf

This book addresses two of the most difficult and computationally intractable classes of problems: discrete resource constrained scheduling, and discrete-continuous scheduling. The first part of the book discusses problems belonging to the first class, while the second part deals with problems belonging to the second class. Both parts together offer valuable insights into the possibility of implementing modern techniques and tools with a view to obtaining high-quality solutions to practical and, at the same time, computationally difficult problems. It offers a valuable source of information for practitioners dealing with the real-world scheduling problems in industry, management and administration. The authors have been working on the respective problems for the last decade, gaining scientific recognition through publications and active participation in the international scientific conferences, and their results are obtained using population-based methods. Dr E. Ratajczk-Ropel explores multiple agent and A-Team concepts, while Dr A. Skakovski focuses on evolutionary algorithms with a particular focus on the population learning paradigm.

Multi-Agent Based Beam Search for Real-Time Production Scheduling and Control

Author : Shu Gang Kang,Shiu Hong Choi
Publisher : Springer Science & Business Media
Page : 136 pages
File Size : 43,5 Mb
Release : 2012-10-10
Category : Technology & Engineering
ISBN : 9781447145769

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Multi-Agent Based Beam Search for Real-Time Production Scheduling and Control by Shu Gang Kang,Shiu Hong Choi Pdf

The Multi-Agent Based Beam Search (MABBS) method systematically integrates four major requirements of manufacturing production - representation capability, solution quality, computation efficiency, and implementation difficulty - within a unified framework to deal with the many challenges of complex real-world production planning and scheduling problems. Multi-agent Based Beam Search for Real-time Production Scheduling and Control introduces this method, together with its software implementation and industrial applications. This book connects academic research with industrial practice, and develops a practical solution to production planning and scheduling problems. To simplify implementation, a reusable software platform is developed to build the MABBS method into a generic computation engine. This engine is integrated with a script language, called the Embedded Extensible Application Script Language (EXASL), to provide a flexible and straightforward approach to representing complex real-world problems. Adopting an in-depth yet engaging and clear approach, and avoiding confusing or complicated mathematics and formulas, this book presents simple heuristics and a user-friendly software platform for system modelling. The supporting industrial case studies provide key information for students, lecturers, and industry practitioners alike. Multi-agent Based Beam Search for Real-time Production Scheduling and Control offers insights into the complex nature of and a practical total solution to production planning and scheduling, and inspires further research and practice in this promising research area.

Agent-Based Modeling and Simulation with Swarm

Author : Hitoshi Iba
Publisher : Chapman and Hall/CRC
Page : 0 pages
File Size : 49,7 Mb
Release : 2013-06-24
Category : Computers
ISBN : 146656234X

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Agent-Based Modeling and Simulation with Swarm by Hitoshi Iba Pdf

Swarm-based multi-agent simulation leads to better modeling of tasks in biology, engineering, economics, art, and many other areas. It also facilitates an understanding of complicated phenomena that cannot be solved analytically. Agent-Based Modeling and Simulation with Swarm provides the methodology for a multi-agent-based modeling approach that integrates computational techniques such as artificial life, cellular automata, and bio-inspired optimization. Each chapter gives an overview of the problem, explores state-of-the-art technology in the field, and discusses multi-agent frameworks. The author describes step by step how to assemble algorithms for generating a simulation model, program, method for visualization, and further research tasks. While the book employs the commonly used Swarm system, readers can model and develop the simulations with their own simulator. To encourage hands-on exploration of emergent systems, Swarm-based software and source codes are available for download from the author’s website. A thorough overview of multi-agent simulation and supporting tools, this book shows how this type of simulation is used to acquire an understanding of complex systems and artificial life. It carefully explains how to construct a simulation program for various applications.

Multi-Agent-Based Production Planning and Control

Author : Jie Zhang
Publisher : John Wiley & Sons
Page : 420 pages
File Size : 53,6 Mb
Release : 2017-08-28
Category : Technology & Engineering
ISBN : 9781118890066

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Multi-Agent-Based Production Planning and Control by Jie Zhang Pdf

At the crossroads of artificial intelligence, manufacturing engineering, operational research and industrial engineering and management, multi-agent based production planning and control is an intelligent and industrially crucial technology with increasing importance. This book provides a complete overview of multi-agent based methods for today’s competitive manufacturing environment, including the Job Shop Manufacturing and Re-entrant Manufacturing processes. In addition to the basic control and scheduling systems, the author also highlights advance research in numerical optimization methods and wireless sensor networks and their impact on intelligent production planning and control system operation. Enables students, researchers and engineers to understand the fundamentals and theories of multi-agent based production planning and control Written by an author with more than 20 years’ experience in studying and formulating a complete theoretical system in production planning technologies Fully illustrated throughout, the methods for production planning, scheduling and controlling are presented using experiments, numerical simulations and theoretical analysis Comprehensive and concise, Multi-Agent Based Production Planning and Control is aimed at the practicing engineer and graduate student in industrial engineering, operational research, and mechanical engineering. It is also a handy guide for advanced students in artificial intelligence and computer engineering.

Managing Business Complexity

Author : Michael J. North,Charles M. Macal
Publisher : Oxford University Press
Page : 326 pages
File Size : 44,7 Mb
Release : 2007-03
Category : Business & Economics
ISBN : 9780195172119

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Managing Business Complexity by Michael J. North,Charles M. Macal Pdf

Agent-based modeling and simulation (ABMS) is a developing technique for understanding emergent behaviour in complex systems. This text covers all phases of agent-based model development and project management including model requirements specification, model design, model testing, and model use.

Agent-Based Modeling and Simulation with Swarm

Author : Hitoshi Iba
Publisher : CRC Press
Page : 316 pages
File Size : 42,5 Mb
Release : 2013-06-24
Category : Computers
ISBN : 9781466562400

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Agent-Based Modeling and Simulation with Swarm by Hitoshi Iba Pdf

Swarm-based multi-agent simulation leads to better modeling of tasks in biology, engineering, economics, art, and many other areas. It also facilitates an understanding of complicated phenomena that cannot be solved analytically. Agent-Based Modeling and Simulation with Swarm provides the methodology for a multi-agent-based modeling approach that i