Iterative Optimizers

Iterative Optimizers PDF Author: Maurice Clerc
Publisher: John Wiley & Sons
ISBN: 1119612365
Category : Computers
Languages : en
Pages : 216

Get Book Here

Book Description
Almost every month, a new optimization algorithm is proposed, often accompanied by the claim that it is superior to all those that came before it. However, this claim is generally based on the algorithm's performance on a specific set of test cases, which are not necessarily representative of the types of problems the algorithm will face in real life. This book presents the theoretical analysis and practical methods (along with source codes) necessary to estimate the difficulty of problems in a test set, as well as to build bespoke test sets consisting of problems with varied difficulties. The book formally establishes a typology of optimization problems, from which a reliable test set can be deduced. At the same time, it highlights how classic test sets are skewed in favor of different classes of problems, and how, as a result, optimizers that have performed well on test problems may perform poorly in real life scenarios.

Iterative Optimizers

Iterative Optimizers PDF Author: Maurice Clerc
Publisher: John Wiley & Sons
ISBN: 1119612365
Category : Computers
Languages : en
Pages : 216

Get Book Here

Book Description
Almost every month, a new optimization algorithm is proposed, often accompanied by the claim that it is superior to all those that came before it. However, this claim is generally based on the algorithm's performance on a specific set of test cases, which are not necessarily representative of the types of problems the algorithm will face in real life. This book presents the theoretical analysis and practical methods (along with source codes) necessary to estimate the difficulty of problems in a test set, as well as to build bespoke test sets consisting of problems with varied difficulties. The book formally establishes a typology of optimization problems, from which a reliable test set can be deduced. At the same time, it highlights how classic test sets are skewed in favor of different classes of problems, and how, as a result, optimizers that have performed well on test problems may perform poorly in real life scenarios.

Optimisation in Signal and Image Processing

Optimisation in Signal and Image Processing PDF Author: Patrick Siarry
Publisher: John Wiley & Sons
ISBN: 1118623673
Category : Technology & Engineering
Languages : en
Pages : 277

Get Book Here

Book Description
This book describes the optimization methods most commonly encountered in signal and image processing: artificial evolution and Parisian approach; wavelets and fractals; information criteria; training and quadratic programming; Bayesian formalism; probabilistic modeling; Markovian approach; hidden Markov models; and metaheuristics (genetic algorithms, ant colony algorithms, cross-entropy, particle swarm optimization, estimation of distribution algorithms, and artificial immune systems).

Biogeography-Based Optimization: Algorithms and Applications

Biogeography-Based Optimization: Algorithms and Applications PDF Author: Yujun Zheng
Publisher: Springer
ISBN: 9811325863
Category : Technology & Engineering
Languages : en
Pages : 225

Get Book Here

Book Description
This book introduces readers to the background, general framework, main operators, and other basic characteristics of biogeography-based optimization (BBO), which is an emerging branch of bio-inspired computation. In particular, the book presents the authors’ recent work on improved variants of BBO, hybridization of BBO with other algorithms, and the application of BBO to a variety of domains including transportation, image processing, and neural network learning. The content will help to advance research into and application of not only BBO but also the whole field of bio-inspired computation. The algorithms and applications are organized in a step-by-step manner and clearly described with the help of pseudo-codes and flowcharts. The readers will learn not only the basic concepts of BBO but also how to apply and adapt the algorithms to the engineering optimization problems they actually encounter.

Metaheuristics

Metaheuristics PDF Author: Patrick Siarry
Publisher: Springer
ISBN: 331945403X
Category : Computers
Languages : en
Pages : 501

Get Book Here

Book Description
Metaheuristics exhibit desirable properties like simplicity, easy parallelizability, and ready applicability to different types of optimization problems. After a comprehensive introduction to the field, the contributed chapters in this book include explanations of the main metaheuristics techniques, including simulated annealing, tabu search, evolutionary algorithms, artificial ants, and particle swarms, followed by chapters that demonstrate their applications to problems such as multiobjective optimization, logistics, vehicle routing, and air traffic management. The authors are leading researchers in this domain, with considerable teaching and applications experience, and the book will be of value to industrial practitioners, graduate students, and research academics.

Particle Swarm Optimization

Particle Swarm Optimization PDF Author: Maurice Clerc
Publisher: John Wiley & Sons
ISBN: 111861397X
Category : Computers
Languages : en
Pages : 182

Get Book Here

Book Description
This is the first book devoted entirely to Particle Swarm Optimization (PSO), which is a non-specific algorithm, similar to evolutionary algorithms, such as taboo search and ant colonies. Since its original development in 1995, PSO has mainly been applied to continuous-discrete heterogeneous strongly non-linear numerical optimization and it is thus used almost everywhere in the world. Its convergence rate also makes it a preferred tool in dynamic optimization.

Robust Control Optimization with Metaheuristics

Robust Control Optimization with Metaheuristics PDF Author: Philippe Feyel
Publisher: John Wiley & Sons
ISBN: 1119340969
Category : Technology & Engineering
Languages : en
Pages : 454

Get Book Here

Book Description
In the automotive industry, a Control Engineer must design a unique control law that is then tested and validated on a single prototype with a level of reliability high enough to to meet a number of complex specifications on various systems. In order to do this, the Engineer uses an experimental iterative process (Trial and Error phase) which relies heavily on his or her experience. This book looks to optimise the methods for synthesising servo controllers ny making them more direct and thus quicker to design. This is achieved by calculating a final controller to directly tackle the high-end system specs.

Guided Randomness in Optimization

Guided Randomness in Optimization PDF Author: Maurice Clerc
Publisher: John Wiley & Sons
ISBN: 111913644X
Category : Computers
Languages : en
Pages : 316

Get Book Here

Book Description
The performance of an algorithm used depends on the GNA. This book focuses on the comparison of optimizers, it defines a stress-outcome approach which can be derived all the classic criteria (median, average, etc.) and other more sophisticated. Source-codes used for the examples are also presented, this allows a reflection on the "superfluous chance," succinctly explaining why and how the stochastic aspect of optimization could be avoided in some cases.

New Optimization Techniques in Engineering

New Optimization Techniques in Engineering PDF Author: Godfrey C. Onwubolu
Publisher: Springer
ISBN: 3540399305
Category : Technology & Engineering
Languages : en
Pages : 716

Get Book Here

Book Description
Presently, general-purpose optimization techniques such as Simulated Annealing, and Genetic Algorithms, have become standard optimization techniques. Concerted research efforts have been made recently in order to invent novel optimization techniques for solving real life problems, which have the attributes of memory update and population-based search solutions. The book describes a variety of these novel optimization techniques which in most cases outperform the standard optimization techniques in many application areas. New Optimization Techniques in Engineering reports applications and results of the novel optimization techniques considering a multitude of practical problems in the different engineering disciplines – presenting both the background of the subject area and the techniques for solving the problems.

L'optimisation par essaims particulaires

L'optimisation par essaims particulaires PDF Author: Maurice Clerc
Publisher:
ISBN: 9782746209916
Category :
Languages : fr
Pages : 265

Get Book Here

Book Description
L'Optimisation par Essaims Particulaires (OEP) ou Particle Swarm Optimization (PSO) est une heuristique non spécifique, au même titre que, par exemple, les algorithmes évolutionnaires, la recherche avec tabous ou les colonies de fourmis. Son domaine de prédilection depuis sa naissance en 1995 est l'optimisation numérique hétérogène continue-discrète fortement non linéaire. À ce titre elle est utilisée un peu partout dans le monde. Sa rapidité de convergence en fait aussi un outil privilégié en optimisation dynamique. Premier ouvrage en français entièrement consacré à l'OEP, L'optimisation par essaims particulaires explique les principes de base, en particulier les concepts de particule, de lien d'information, de mémoire et de coopération. Partant d'une version paramétrique très simple mais déjà efficace, codable en quelques lignes, il montre comment l'enrichir progressivement pour aboutir à une version entièrement adaptative. Tous les programmes sources sont soit inclus dans l'ouvrage (pour les plus courts) soit librement disponibles en téléchargement.

Random-Like Multiple Objective Decision Making

Random-Like Multiple Objective Decision Making PDF Author: Jiuping Xu
Publisher: Springer Science & Business Media
ISBN: 3642180000
Category : Business & Economics
Languages : en
Pages : 452

Get Book Here

Book Description
What are the random-like phenomena that can be found everywhere in real-life world? When carrying out a random sampling survey on the traffic situation, we often obtain some descriptive results such as approximately expedite, a little crowded and so on, therefore, the average level should be regarded as the random fuzzy phenomenon, which is one of the random-like phenomena. Decision makers usually need to make the decision for these problems with random-like phenomena. Which model should be constructed for them? How should we handle these models to find the optimal strategy? How can we apply these models to solve real-life problems with random-like phenomena? In order to answer these questions, this book provides an up-to-date methodology system 5MRP for random-like multiple objective decision making, which includes problem system with random-like phenomena, model system with random-like coefficients, research system with random-like uncertain methods. Some practical applications are also provided to illustrate the effectiveness of the proposed methodology system. Researchers, practitioners and students in systems science, economics, mathematics, information, engineering and MS/OR will get a lot of useful references from this research monograph.