Evolutionary Algorithms In Management Applications

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Evolutionary Algorithms in Management Applications

Jörg Biethahn,Volker Nissen
Evolutionary Algorithms in Management Applications Book PDF

Author : Jörg Biethahn,Volker Nissen
Publisher : Springer Science & Business Media
Page : 384 pages
File Size : 54,6 Mb
Release : 2012-12-06
Category : Business & Economics
ISBN : 9783642612176

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Evolutionary Algorithms in Management Applications by Jörg Biethahn,Volker Nissen Pdf

Evolutionary Algorithms (EA) are powerful search and optimisation techniques inspired by the mechanisms of natural evolution. They imitate, on an abstract level, biological principles such as a population based approach, the inheritance of information, the variation of information via crossover/mutation, and the selection of individuals based on fitness. The most well-known class of EA are Genetic Algorithms (GA), which have received much attention not only in the scientific community lately. Other variants of EA, in particular Genetic Programming, Evolution Strategies, and Evolutionary Programming are less popular, though very powerful too. Traditionally, most practical applications of EA have appeared in the technical sector. Management problems, for a long time, have been a rather neglected field of EA-research. This is surprising, since the great potential of evolutionary approaches for the business and economics domain was recognised in pioneering publications quite a while ago. John Holland, for instance, in his seminal book Adaptation in Natural and Artificial Systems (The University of Michigan Press, 1975) identified economics as one of the prime targets for a theory of adaptation, as formalised in his reproductive plans (later called Genetic Algorithms).

Evolutionary Algorithms in Engineering Applications

Dipankar Dasgupta,Zbigniew Michalewicz
Evolutionary Algorithms in Engineering Applications Book PDF

Author : Dipankar Dasgupta,Zbigniew Michalewicz
Publisher : Springer Science & Business Media
Page : 561 pages
File Size : 53,5 Mb
Release : 2013-06-29
Category : Computers
ISBN : 9783662034231

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Evolutionary Algorithms in Engineering Applications by Dipankar Dasgupta,Zbigniew Michalewicz Pdf

Evolutionary algorithms are general-purpose search procedures based on the mechanisms of natural selection and population genetics. They are appealing because they are simple, easy to interface, and easy to extend. This volume is concerned with applications of evolutionary algorithms and associated strategies in engineering. It will be useful for engineers, designers, developers, and researchers in any scientific discipline interested in the applications of evolutionary algorithms. The volume consists of five parts, each with four or five chapters. The topics are chosen to emphasize application areas in different fields of engineering. Each chapter can be used for self-study or as a reference by practitioners to help them apply evolutionary algorithms to problems in their engineering domains.

Multiobjective Evolutionary Algorithms and Applications

Kay Chen Tan,Eik Fun Khor,Tong Heng Lee
Multiobjective Evolutionary Algorithms and Applications Book PDF

Author : Kay Chen Tan,Eik Fun Khor,Tong Heng Lee
Publisher : Springer Science & Business Media
Page : 295 pages
File Size : 47,9 Mb
Release : 2005-11-28
Category : Computers
ISBN : 9781846281327

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Multiobjective Evolutionary Algorithms and Applications by Kay Chen Tan,Eik Fun Khor,Tong Heng Lee Pdf

Evolutionary multiobjective optimization is currently gaining a lot of attention, particularly for researchers in the evolutionary computation communities. Covers the authors’ recent research in the area of multiobjective evolutionary algorithms as well as its practical applications.

Evolutionary Computation and Optimization Algorithms in Software Engineering: Applications and Techniques

Chis, Monica
Evolutionary Computation and Optimization Algorithms in Software Engineering Applications and Techniques Book PDF

Author : Chis, Monica
Publisher : IGI Global
Page : 282 pages
File Size : 53,9 Mb
Release : 2010-06-30
Category : Education
ISBN : 9781615208104

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Evolutionary Computation and Optimization Algorithms in Software Engineering: Applications and Techniques by Chis, Monica Pdf

Evolutionary Computation and Optimization Algorithms in Software Engineering: Applications and Techniques lays the foundation for the successful integration of evolutionary computation into software engineering. It surveys techniques ranging from genetic algorithms, to swarm optimization theory, to ant colony optimization, demonstrating their uses and capabilities. These techniques are applied to aspects of software engineering such as software testing, quality assessment, reliability assessment, and fault prediction models, among others, to providing researchers, scholars and students with the knowledge needed to expand this burgeoning application.

Genetic Algorithms in Applications

Rustem Popa
Genetic Algorithms in Applications Book PDF

Author : Rustem Popa
Publisher : BoD – Books on Demand
Page : 332 pages
File Size : 42,9 Mb
Release : 2012-03-21
Category : Computers
ISBN : 9789535104001

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Genetic Algorithms in Applications by Rustem Popa Pdf

Genetic Algorithms (GAs) are one of several techniques in the family of Evolutionary Algorithms - algorithms that search for solutions to optimization problems by "evolving" better and better solutions. Genetic Algorithms have been applied in science, engineering, business and social sciences. This book consists of 16 chapters organized into five sections. The first section deals with some applications in automatic control, the second section contains several applications in scheduling of resources, and the third section introduces some applications in electrical and electronics engineering. The next section illustrates some examples of character recognition and multi-criteria classification, and the last one deals with trading systems. These evolutionary techniques may be useful to engineers and scientists in various fields of specialization, who need some optimization techniques in their work and who may be using Genetic Algorithms in their applications for the first time. These applications may be useful to many other people who are getting familiar with the subject of Genetic Algorithms.

Applications of Evolutionary Computing

Anna I. Esparcia-Alcázar
Applications of Evolutionary Computing Book PDF

Author : Anna I. Esparcia-Alcázar
Publisher : Springer
Page : 639 pages
File Size : 43,6 Mb
Release : 2013-03-12
Category : Computers
ISBN : 9783642371929

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Applications of Evolutionary Computing by Anna I. Esparcia-Alcázar Pdf

This book constitutes the refereed proceedings of the International Conference on the Applications of Evolutionary Computation, EvoApplications 2013, held in Vienna, Austria, in April 2013, colocated with the Evo* 2013 events EuroGP, EvoCOP, EvoBIO, and EvoMUSART. The 65 revised full papers presented were carefully reviewed and selected from 119 submissions. EvoApplications 2013 consisted of the following 12 tracks: EvoCOMNET (nature-inspired techniques for telecommunication networks and other parallel and distributed systems), EvoCOMPLEX (evolutionary algorithms and complex systems), EvoENERGY (evolutionary computation in energy applications), EvoFIN (evolutionary and natural computation in finance and economics), EvoGAMES (bio-inspired algorithms in games), EvoIASP (evolutionary computation in image analysis, signal processing, and pattern recognition), EvoINDUSTRY (nature-inspired techniques in industrial settings), EvoNUM (bio-inspired algorithms for continuous parameter optimization), EvoPAR (parallel implementation of evolutionary algorithms), EvoRISK (computational intelligence for risk management, security and defence applications), EvoROBOT (evolutionary computation in robotics), and EvoSTOC (evolutionary algorithms in stochastic and dynamic environments).

Evolutionary Data Clustering: Algorithms and Applications

Ibrahim Aljarah,Hossam Faris,Seyedali Mirjalili
Evolutionary Data Clustering Algorithms and Applications Book PDF

Author : Ibrahim Aljarah,Hossam Faris,Seyedali Mirjalili
Publisher : Springer Nature
Page : 248 pages
File Size : 52,7 Mb
Release : 2021-02-20
Category : Technology & Engineering
ISBN : 9789813341913

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Evolutionary Data Clustering: Algorithms and Applications by Ibrahim Aljarah,Hossam Faris,Seyedali Mirjalili Pdf

This book provides an in-depth analysis of the current evolutionary clustering techniques. It discusses the most highly regarded methods for data clustering. The book provides literature reviews about single objective and multi-objective evolutionary clustering algorithms. In addition, the book provides a comprehensive review of the fitness functions and evaluation measures that are used in most of evolutionary clustering algorithms. Furthermore, it provides a conceptual analysis including definition, validation and quality measures, applications, and implementations for data clustering using classical and modern nature-inspired techniques. It features a range of proven and recent nature-inspired algorithms used to data clustering, including particle swarm optimization, ant colony optimization, grey wolf optimizer, salp swarm algorithm, multi-verse optimizer, Harris hawks optimization, beta-hill climbing optimization. The book also covers applications of evolutionary data clustering in diverse fields such as image segmentation, medical applications, and pavement infrastructure asset management.

Evolutionary Algorithms and Agricultural Systems

David G. Mayer
Evolutionary Algorithms and Agricultural Systems Book PDF

Author : David G. Mayer
Publisher : Springer Science & Business Media
Page : 110 pages
File Size : 51,9 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461517177

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Evolutionary Algorithms and Agricultural Systems by David G. Mayer Pdf

Evolutionary Algorithms and Agricultural Systems deals with the practical application of evolutionary algorithms to the study and management of agricultural systems. The rationale of systems research methodology is introduced, and examples listed of real-world applications. It is the integration of these agricultural systems models with optimization techniques, primarily genetic algorithms, which forms the focus of this book. The advantages are outlined, with examples of agricultural models ranging from national and industry-wide studies down to the within-farm scale. The potential problems of this approach are also discussed, along with practical methods of resolving these problems. Agricultural applications using alternate optimization techniques (gradient and direct-search methods, simulated annealing and quenching, and the tabu search strategy) are also listed and discussed. The particular problems and methodologies of these algorithms, including advantageous features that may benefit a hybrid approach or be usefully incorporated into evolutionary algorithms, are outlined. From consideration of this and the published examples, it is concluded that evolutionary algorithms are the superior method for the practical optimization of models of agricultural and natural systems. General recommendations on robust options and parameter settings for evolutionary algorithms are given for use in future studies. Evolutionary Algorithms and Agricultural Systems will prove useful to practitioners and researchers applying these methods to the optimization of agricultural or natural systems, and would also be suited as a text for systems management, applied modeling, or operations research.

Artificial Intelligence Applications and Innovations

Lazaros Iliadis,Ilias Maglogiannis,Harris Papadopoulos
Artificial Intelligence Applications and Innovations Book PDF

Author : Lazaros Iliadis,Ilias Maglogiannis,Harris Papadopoulos
Publisher : Springer
Page : 0 pages
File Size : 40,8 Mb
Release : 2016-08-23
Category : Computers
ISBN : 3662525992

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Artificial Intelligence Applications and Innovations by Lazaros Iliadis,Ilias Maglogiannis,Harris Papadopoulos Pdf

This book constitutes the refereed proceedings of the 10th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2014, held in Rhodes, Greece, in September 2014. The 33 revised full papers and 29 short papers presented were carefully reviewed and selected from numerous submissions. They are organized in the following topical sections: learning-ensemble learning; social media and mobile applications of AI; hybrid-changing environments; agent (AGE); classification pattern recognition; genetic algorithms; image and video processing; feature extraction; environmental AI; simulations and fuzzy modeling; and data mining forecasting.

Optimization Using Evolutionary Algorithms and Metaheuristics

Kaushik Kumar,J. Paulo Davim
Optimization Using Evolutionary Algorithms and Metaheuristics Book PDF

Author : Kaushik Kumar,J. Paulo Davim
Publisher : CRC Press
Page : 136 pages
File Size : 55,7 Mb
Release : 2019-08-22
Category : Technology & Engineering
ISBN : 9781000537147

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Optimization Using Evolutionary Algorithms and Metaheuristics by Kaushik Kumar,J. Paulo Davim Pdf

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

Applications of Multi-objective Evolutionary Algorithms

Carlos A. Coello Coello,Gary B. Lamont
Applications of Multi objective Evolutionary Algorithms Book PDF

Author : Carlos A. Coello Coello,Gary B. Lamont
Publisher : World Scientific
Page : 792 pages
File Size : 48,9 Mb
Release : 2004
Category : Computers
ISBN : 9789812561060

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Applications of Multi-objective Evolutionary Algorithms by Carlos A. Coello Coello,Gary B. Lamont Pdf

- Detailed MOEA applications discussed by international experts - State-of-the-art practical insights in tackling statistical optimization with MOEAs - A unique monograph covering a wide spectrum of real-world applications - Step-by-step discussion of MOEA applications in a variety of domains

Applications of Evolutionary Computation

Anna I. Esparcia-Alcázar,Antonio M. Mora
Applications of Evolutionary Computation Book PDF

Author : Anna I. Esparcia-Alcázar,Antonio M. Mora
Publisher : Springer
Page : 969 pages
File Size : 47,5 Mb
Release : 2014-11-28
Category : Computers
ISBN : 9783662455234

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Applications of Evolutionary Computation by Anna I. Esparcia-Alcázar,Antonio M. Mora Pdf

This book constitutes the thoroughly refereed post-conference proceedings of the International Conference on the Applications of Evolutionary Computation, EvoApplications 2014, held in Granada, Spain, in April 2014, colocated with the Evo* 2014 events EuroGP, EvoCOP, and EvoMUSART. The 79 revised full papers presented were carefully reviewed and selected from 128 submissions. EvoApplications 2014 consisted of the following 13 tracks: EvoCOMNET (nature-inspired techniques for telecommunication networks and other parallel and distributed systems), EvoCOMPLEX (evolutionary algorithms and complex systems), EvoENERGY (evolutionary computation in energy applications), EvoFIN (evolutionary and natural computation in finance and economics), EvoGAMES (bio-inspired algorithms in games), EvoIASP (evolutionary computation in image analysis, signal processing, and pattern recognition), EvoINDUSTRY (nature-inspired techniques in industrial settings), EvoNUM (bio-inspired algorithms for continuous parameter optimization), EvoPAR (parallel implementation of evolutionary algorithms), EvoRISK (computational intelligence for risk management, security and defence applications), EvoROBOT (evolutionary computation in robotics), EvoSTOC (evolutionary algorithms in stochastic and dynamic environments), and EvoBio (EC and related techniques in bioinformatics and computational biology).

Applications of Evolutionary Computation

Giovanni Squillero,Paolo Burelli
Applications of Evolutionary Computation Book PDF

Author : Giovanni Squillero,Paolo Burelli
Publisher : Springer
Page : 849 pages
File Size : 50,5 Mb
Release : 2016-03-22
Category : Computers
ISBN : 9783319312040

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Applications of Evolutionary Computation by Giovanni Squillero,Paolo Burelli Pdf

The two volumes LNCS 9597 and 9598 constitute the refereed conference proceedings of the 19th European Conference on the Applications of Evolutionary Computation, EvoApplications 2016, held in Porto, Portugal, in March/April 2016, co-located with the Evo* 2016 events EuroGP, EvoCOP, and EvoMUSART. The 57 revised full papers presented together with 17 poster papers were carefully reviewed and selected from 115 submissions. EvoApplications 2016 consisted of the following 13 tracks: EvoBAFIN (natural computing methods in business analytics and finance), EvoBIO (evolutionary computation, machine learning and data mining in computational biology), EvoCOMNET (nature-inspired techniques for telecommunication networks and other parallel and distributed systems), EvoCOMPLEX (evolutionary algorithms and complex systems), EvoENERGY (evolutionary computation in energy applications), EvoGAMES (bio-inspired algorithms in games), EvoIASP (evolutionary computation in image analysis, signal processing, and pattern recognition), EvoINDUSTRY (nature-inspired techniques in industrial settings), EvoNUM (bio-inspired algorithms for continuous parameter optimization), EvoPAR (parallel implementation of evolutionary algorithms), EvoRISK (computational intelligence for risk management, security and defence applications), EvoROBOT (evolutionary robotics), and EvoSTOC (evolutionary algorithms in stochastic and dynamic environments).

Nature-Inspired Computing: Concepts, Methodologies, Tools, and Applications

Management Association, Information Resources
Nature Inspired Computing Concepts Methodologies Tools and Applications Book PDF

Author : Management Association, Information Resources
Publisher : IGI Global
Page : 1780 pages
File Size : 51,5 Mb
Release : 2016-07-26
Category : Computers
ISBN : 9781522507895

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Nature-Inspired Computing: Concepts, Methodologies, Tools, and Applications by Management Association, Information Resources Pdf

As technology continues to become more sophisticated, mimicking natural processes and phenomena also becomes more of a reality. Continued research in the field of natural computing enables an understanding of the world around us, in addition to opportunities for man-made computing to mirror the natural processes and systems that have existed for centuries. Nature-Inspired Computing: Concepts, Methodologies, Tools, and Applications takes an interdisciplinary approach to the topic of natural computing, including emerging technologies being developed for the purpose of simulating natural phenomena, applications across industries, and the future outlook of biologically and nature-inspired technologies. Emphasizing critical research in a comprehensive multi-volume set, this publication is designed for use by IT professionals, researchers, and graduate students studying intelligent computing.

Applications of Evolutionary Computation

Giovanni Squillero,Paolo Burelli
Applications of Evolutionary Computation Book PDF

Author : Giovanni Squillero,Paolo Burelli
Publisher : Springer
Page : 329 pages
File Size : 44,7 Mb
Release : 2016-03-24
Category : Computers
ISBN : 9783319311531

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Applications of Evolutionary Computation by Giovanni Squillero,Paolo Burelli Pdf

The two volumes LNCS 9597 and 9598 constitute the refereed conference proceedings of the 19th European Conference on the Applications of Evolutionary Computation, EvoApplications 2016, held in Porto, Portugal, in March/April 2016, co-located with the Evo* 2016 events EuroGP, EvoCOP, and EvoMUSART. The 57 revised full papers presented together with 17 poster papers were carefully reviewed and selected from 115 submissions. EvoApplications 2016 consisted of the following 13 tracks: EvoBAFIN (natural computing methods in business analytics and finance), EvoBIO (evolutionary computation, machine learning and data mining in computational biology), EvoCOMNET (nature-inspired techniques for telecommunication networks and other parallel and distributed systems), EvoCOMPLEX (evolutionary algorithms and complex systems), EvoENERGY (evolutionary computation in energy applications), EvoGAMES (bio-inspired algorithms in games), EvoIASP (evolutionary computation in image analysis, signal processing, and pattern recognition), EvoINDUSTRY (nature-inspired techniques in industrial settings), EvoNUM (bio-inspired algorithms for continuous parameter optimization), EvoPAR (parallel implementation of evolutionary algorithms), EvoRISK (computational intelligence for risk management, security and defence applications), EvoROBOT (evolutionary robotics), and EvoSTOC (evolutionary algorithms in stochastic and dynamic environments).