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New Archive Based Evolutionary Multi-Objective Algorithms

2012-07
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Release : 2012-07
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Kind : eBook
Book Rating : 963/5 ( reviews)

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Book Synopsis New Archive Based Evolutionary Multi-Objective Algorithms by : Xavier Esquivel

Download or read book New Archive Based Evolutionary Multi-Objective Algorithms written by Xavier Esquivel. This book was released on 2012-07. Available in PDF, EPUB and Kindle. Book excerpt: In this work we deal with the design of archive based multi-objective evolutionary algorithms (MOEAs) for the numerical treatment of multi objective optimization problems (MOPs). In particular, we design two generational operators one mutation and one crossover operator that are tailored to a class of archiving strategies and propose a new evolutionary strategy. Furthermore, we investigate here two widely used indicators for the evaluation of Multi-objective Evolutionary Algorithms, the Generational Distance (GD) and the Inverted Generational Distance (IGD), with respect to the properties of ametric. We de ne a new performance indicator, p, which can be viewed as an 'averaged Hausdor distance' between the outcome set and the Pareto front and which is composed of (slight modi cations of) the well-known indicators Generational Distance (GD) and Inverted Generational Distance (IGD). We will discuss theoretical properties of p (as well as for GD and IGD) such as the metric properties and the compliance with state-of-the-art multi-objective evolutionary algorithms (MOEAs)."

Archiving Strategies for Evolutionary Multi-objective Optimization Algorithms

2021-01-04 Technology & Engineering
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Release : 2021-01-04
Genre : Technology & Engineering
Kind : eBook
Book Rating : 735/5 ( reviews)

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Book Synopsis Archiving Strategies for Evolutionary Multi-objective Optimization Algorithms by : Oliver Schütze

Download or read book Archiving Strategies for Evolutionary Multi-objective Optimization Algorithms written by Oliver Schütze. This book was released on 2021-01-04. Available in PDF, EPUB and Kindle. Book excerpt: This book presents an overview of archiving strategies developed over the last years by the authors that deal with suitable approximations of the sets of optimal and nearly optimal solutions of multi-objective optimization problems by means of stochastic search algorithms. All presented archivers are analyzed with respect to the approximation qualities of the limit archives that they generate and the upper bounds of the archive sizes. The convergence analysis will be done using a very broad framework that involves all existing stochastic search algorithms and that will only use minimal assumptions on the process to generate new candidate solutions. All of the presented archivers can effortlessly be coupled with any set-based multi-objective search algorithm such as multi-objective evolutionary algorithms, and the resulting hybrid method takes over the convergence properties of the chosen archiver. This book hence targets at all algorithm designers and practitioners in the field of multi-objective optimization.

Evolutionary Multiobjective Optimization

2005-09-05 Computers
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Release : 2005-09-05
Genre : Computers
Kind : eBook
Book Rating : 377/5 ( reviews)

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Book Synopsis Evolutionary Multiobjective Optimization by : Ajith Abraham

Download or read book Evolutionary Multiobjective Optimization written by Ajith Abraham. This book was released on 2005-09-05. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Recent Advances in Evolutionary Multi-objective Optimization

2016-08-09 Technology & Engineering
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Release : 2016-08-09
Genre : Technology & Engineering
Kind : eBook
Book Rating : 787/5 ( reviews)

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Book Synopsis Recent Advances in Evolutionary Multi-objective Optimization by : Slim Bechikh

Download or read book Recent Advances in Evolutionary Multi-objective Optimization written by Slim Bechikh. This book was released on 2016-08-09. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the most recent advances in the field of evolutionary multiobjective optimization. With the aim of drawing the attention of up-and coming scientists towards exciting prospects at the forefront of computational intelligence, the authors have made an effort to ensure that the ideas conveyed herein are accessible to the widest audience. The book begins with a summary of the basic concepts in multi-objective optimization. This is followed by brief discussions on various algorithms that have been proposed over the years for solving such problems, ranging from classical (mathematical) approaches to sophisticated evolutionary ones that are capable of seamlessly tackling practical challenges such as non-convexity, multi-modality, the presence of multiple constraints, etc. Thereafter, some of the key emerging aspects that are likely to shape future research directions in the field are presented. These include: optimization in dynamic environments, multi-objective bilevel programming, handling high dimensionality under many objectives, and evolutionary multitasking. In addition to theory and methodology, this book describes several real-world applications from various domains, which will expose the readers to the versatility of evolutionary multi-objective optimization.

2020 IEEE Congress on Evolutionary Computation (CEC)

2020-07-19
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Release : 2020-07-19
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Kind : eBook
Book Rating : 309/5 ( reviews)

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Book Synopsis 2020 IEEE Congress on Evolutionary Computation (CEC) by : IEEE Staff

Download or read book 2020 IEEE Congress on Evolutionary Computation (CEC) written by IEEE Staff. This book was released on 2020-07-19. Available in PDF, EPUB and Kindle. Book excerpt: IEEE CEC is the leading event in the field of evolutionary computation, and covers all topics in evolutionary computation from theory to applications

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