Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Evolutionary Search Techniques With Strong Heuristics For Multi Objective Feature Selection In Software Product Lines PDF full book. Access full book title Evolutionary Search Techniques With Strong Heuristics For Multi Objective Feature Selection In Software Product Lines.
| Author | : Abdel Salam Sayyad |
| Publisher | : |
| Total Pages | : 120 |
| Release | : 2014 |
| Genre | : |
| ISBN | : |
| Author | : Efrén Mezura-Montes |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 273 |
| Release | : 2009-04-07 |
| Genre | : Computers |
| ISBN | : 3642006183 |
This book is the result of a special session on constraint-handling techniques used in evolutionary algorithms within the Congress on Evolutionary Computation (CEC) in 2007. It presents recent research in constraint-handling in evolutionary optimization.
| Author | : Hisao Ishibuchi |
| Publisher | : Springer Nature |
| Total Pages | : 781 |
| Release | : 2021-03-24 |
| Genre | : Computers |
| ISBN | : 3030720624 |
This book constitutes the refereed proceedings of the 11th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2021 held in Shenzhen, China, in March 2021. The 47 full papers and 14 short papers were carefully reviewed and selected from 120 submissions. The papers are divided into the following topical sections: theory; algorithms; dynamic multi-objective optimization; constrained multi-objective optimization; multi-modal optimization; many-objective optimization; performance evaluations and empirical studies; EMO and machine learning; surrogate modeling and expensive optimization; MCDM and interactive EMO; and applications.
| Author | : Bernabé Dorronsoro |
| Publisher | : Springer Nature |
| Total Pages | : 377 |
| Release | : 2021-08-16 |
| Genre | : Computers |
| ISBN | : 3030856720 |
This volume constitutes the refereed proceedings of the 4th International Conference on Optimization and Learning, OLA 2021, held in Catania, Italy, in June 2021. Due to the COVID-19 pandemic the conference was held online. The 27 full papers were carefully reviewed and selected from 62 submissions. The papers presented in the volume are organized in topical sections on synergies between optimization and learning; learning for optimization; machine learning and deep learning; transportation and logistics; optimization; applications of learning and optimization methods.
| Author | : Holger H. Hoos |
| Publisher | : Morgan Kaufmann |
| Total Pages | : 678 |
| Release | : 2005 |
| Genre | : Business & Economics |
| ISBN | : 1558608729 |
Stochastic local search (SLS) algorithms are among the most prominent and successful techniques for solving computationally difficult problems. Offering a systematic treatment of SLS algorithms, this book examines the general concepts and specific instances of SLS algorithms and considers their development, analysis and application.
| Author | : Ajith Abraham |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 313 |
| Release | : 2005-09-05 |
| Genre | : Computers |
| ISBN | : 1846281377 |
Evolutionary Multi-Objective Optimization is an expanding field of research. This book brings a collection of papers with some of the most recent advances in this field. The topic and content is currently very fashionable and has immense potential for practical applications and includes contributions from leading researchers in the field. Assembled in a compelling and well-organised fashion, Evolutionary Computation Based Multi-Criteria Optimization will prove beneficial for both academic and industrial scientists and engineers engaged in research and development and application of evolutionary algorithm based MCO. Packed with must-find information, this book is the first to comprehensively and clearly address the issue of evolutionary computation based MCO, and is an essential read for any researcher or practitioner of the technique.
| Author | : Carlos Coello Coello |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 810 |
| Release | : 2007-08-26 |
| Genre | : Computers |
| ISBN | : 0387367977 |
This textbook is a second edition of Evolutionary Algorithms for Solving Multi-Objective Problems, significantly expanded and adapted for the classroom. The various features of multi-objective evolutionary algorithms are presented here in an innovative and student-friendly fashion, incorporating state-of-the-art research. The book disseminates the application of evolutionary algorithm techniques to a variety of practical problems. It contains exhaustive appendices, index and bibliography and links to a complete set of teaching tutorials, exercises and solutions.
| Author | : Kalyanmoy Deb |
| Publisher | : John Wiley & Sons |
| Total Pages | : 540 |
| Release | : 2001-07-05 |
| Genre | : Mathematics |
| ISBN | : 9780471873396 |
Optimierung mit mehreren Zielen, evolutionäre Algorithmen: Dieses Buch wendet sich vorrangig an Einsteiger, denn es werden kaum Vorkenntnisse vorausgesetzt. Geboten werden alle notwendigen Grundlagen, um die Theorie auf Probleme der Ingenieurtechnik, der Vorhersage und der Planung anzuwenden. Der Autor gibt auch einen Ausblick auf Forschungsaufgaben der Zukunft.
| Author | : Seyedali Mirjalili |
| Publisher | : Springer |
| Total Pages | : 58 |
| Release | : 2019-07-24 |
| Genre | : Technology & Engineering |
| ISBN | : 3030248356 |
This book focuses on the most well-regarded and recent nature-inspired algorithms capable of solving optimization problems with multiple objectives. Firstly, it provides preliminaries and essential definitions in multi-objective problems and different paradigms to solve them. It then presents an in-depth explanations of the theory, literature review, and applications of several widely-used algorithms, such as Multi-objective Particle Swarm Optimizer, Multi-Objective Genetic Algorithm and Multi-objective GreyWolf Optimizer Due to the simplicity of the techniques and flexibility, readers from any field of study can employ them for solving multi-objective optimization problem. The book provides the source codes for all the proposed algorithms on a dedicated webpage.
| Author | : Thu Bui, Lam |
| Publisher | : IGI Global |
| Total Pages | : 496 |
| Release | : 2008-05-31 |
| Genre | : Technology & Engineering |
| ISBN | : 1599045001 |
Multi-objective optimization (MO) is a fast-developing field in computational intelligence research. Giving decision makers more options to choose from using some post-analysis preference information, there are a number of competitive MO techniques with an increasingly large number of MO real-world applications. Multi-Objective Optimization in Computational Intelligence: Theory and Practice explores the theoretical, as well as empirical, performance of MOs on a wide range of optimization issues including combinatorial, real-valued, dynamic, and noisy problems. This book provides scholars, academics, and practitioners with a fundamental, comprehensive collection of research on multi-objective optimization techniques, applications, and practices.
