Matheuristics

Matheuristics
Author: Vittorio Maniezzo
Publisher: Springer Nature
Total Pages: 222
Release: 2021-04-29
Genre: Business & Economics
ISBN: 3030702774

This book is the first comprehensive tutorial on matheuristics. Matheuristics are based on mathematical extensions of previously known heuristics, mainly metaheuristics, and on original, area-specific approaches. This tutorial provides a detailed discussion of both contributions, presenting the pseudocodes of over 40 algorithms, abundant literature references, and for each case a step-by-step description of a sample run on a common Generalized Assignment Problem example. C++ source codes of all algorithms are available in an associated SW repository.

Matheuristics

Matheuristics
Author: Vittorio Maniezzo
Publisher: Springer Science & Business Media
Total Pages: 283
Release: 2009-09-18
Genre: Business & Economics
ISBN: 1441913068

Metaheuristics support managers in decision-making with robust tools that provide high-quality solutions to important applications in business, engineering, economics, and science in reasonable time frames, but finding exact solutions in these applications still poses a real challenge. However, because of advances in the fields of mathematical optimization and metaheuristics, major efforts have been made on their interface regarding efficient hybridization. This edited book will provide a survey of the state of the art in this field by providing some invited reviews by well-known specialists as well as refereed papers from the second Matheuristics workshop to be held in Bertinoro, Italy, June 2008. Papers will explore mathematical programming techniques in metaheuristics frameworks, and especially focus on the latest developments in Mixed Integer Programming in solving real-world problems.

Metaheuristics

Metaheuristics
Author: Marc Sevaux
Publisher: Springer Nature
Total Pages: 404
Release:
Genre:
ISBN: 3031629124

Metaheuristic

Metaheuristic
Author: Fouad Sabry
Publisher: One Billion Knowledgeable
Total Pages: 115
Release: 2023-07-01
Genre: Computers
ISBN:

What Is Metaheuristic In the fields of computer science and mathematical optimization, a metaheuristic is a higher-level procedure or heuristic designed to find, generate, tune, or select a heuristic that may provide a sufficiently good solution to an optimization problem or a machine learning problem. This is especially useful in situations where there is incomplete or imperfect information or limited computation capacity. Metaheuristics take a small sample from a much larger pool of potential solutions, which would otherwise be impossible to completely enumerate or otherwise investigate. It's possible that metaheuristics will make relatively few assumptions about the optimization problem that has to be solved, and as a result, they might be applicable to a wide range of issues. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Metaheuristic Chapter 2: Swarm intelligence Chapter 3: Genetic algorithm Chapter 4: Simulated annealing Chapter 5: Hyper-heuristic Chapter 6: Genetic programming Chapter 7: Stochastic optimization Chapter 8: Meta-optimization Chapter 9: Workforce modeling Chapter 10: Matheuristics (II) Answering the public top questions about metaheuristic. (III) Real world examples for the usage of metaheuristic in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of metaheuristic' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of metaheuristic.

34th European Symposium on Computer Aided Process Engineering /15th International Symposium on Process Systems Engineering

34th European Symposium on Computer Aided Process Engineering /15th International Symposium on Process Systems Engineering
Author: Flavio Manenti
Publisher: Elsevier
Total Pages: 3634
Release: 2024-06-27
Genre: Technology & Engineering
ISBN: 0443288259

The 34th European Symposium on Computer Aided Process Engineering / 15th International Symposium on Process Systems Engineering, contains the papers presented at the 34th European Symposium on Computer Aided Process Engineering / 15th International Symposium on Process Systems Engineering joint event. It is a valuable resource for chemical engineers, chemical process engineers, researchers in industry and academia, students, and consultants for chemical industries. - Presents findings and discussions from the 34th European Symposium on Computer Aided Process Engineering / 15th International Symposium on Process Systems Engineering joint event

Hybrid Metaheuristics

Hybrid Metaheuristics
Author: Christian Blum
Publisher: Springer
Total Pages: 187
Release: 2009-10-07
Genre: Computers
ISBN: 3642049184

The International Workshop on Hybrid Metaheuristics was established with the aim of providing researchers and scholars with a forum for discussing new ideas and research on metaheuristics and their integration with techniques typical of other ?elds. The papers accepted for the sixth workshop con?rm that such a combination is indeed e?ective and that several research areas can be put together.Slowlybut surely,thisprocesshasbeen promotingproductivedialogue amongresearcherswithdi?erentexpertiseanderodingbarriersbetweenresearch areas. The papers in this volume give a representativesample of current researchin hybrid metaheuristics. It is worth emphasizing that this year, a large number of papers demonstrated how metaheuristics can be integrated with integer linear programmingandotheroperationsresearchtechniques.Constraintprogramming is also featured, which is a notable representative of arti?cial intelligence solving methods. Most of these papers are not only a proof of concept – which can be valuable by itself – but also show that the hybrid techniques presented tackle di?cult and relevant problems. In keeping with the tradition of this workshop, special care was exercised in the review process: out of 22 submissions received, 12 papers were selected on the basis of reviews by the Program Committee members and evaluations by the Program Chairs. Reviews were in great depth: reviewers sought to p- vide authors with constructive suggestions for improvement. Special thanks are extended to the Program Committee members who devoted their time and - fort. Special gratitude is due to Andrea Lodi and Vittorio Maniezzo, who both accepted our invitation to give an overview talk.

Innovative Computational Intelligence: A Rough Guide to 134 Clever Algorithms

Innovative Computational Intelligence: A Rough Guide to 134 Clever Algorithms
Author: Bo Xing
Publisher: Springer Science & Business Media
Total Pages: 469
Release: 2013-12-13
Genre: Technology & Engineering
ISBN: 3319034049

The first notable feature of this book is its innovation: Computational intelligence (CI), a fast evolving area, is currently attracting lots of researchers’ attention in dealing with many complex problems. At present, there are quite a lot competing books existing in the market. Nevertheless, the present book is markedly different from the existing books in that it presents new paradigms of CI that have rarely mentioned before, as opposed to the traditional CI techniques or methodologies employed in other books. During the past decade, a number of new CI algorithms are proposed. Unfortunately, they spread in a number of unrelated publishing directions which may hamper the use of such published resources. These provide us with motivation to analyze the existing research for categorizing and synthesizing it in a meaningful manner. The mission of this book is really important since those algorithms are going to be a new revolution in computer science. We hope it will stimulate the readers to make novel contributions or even start a new paradigm based on nature phenomena. Although structured as a textbook, the book's straightforward, self-contained style will also appeal to a wide audience of professionals, researchers and independent learners. We believe that the book will be instrumental in initiating an integrated approach to complex problems by allowing cross-fertilization of design principles from different design philosophies. The second feature of this book is its comprehensiveness: Through an extensive literature research, there are 134 innovative CI algorithms covered in this book.

Mathematical Optimization Theory and Operations Research

Mathematical Optimization Theory and Operations Research
Author: Panos Pardalos
Publisher: Springer Nature
Total Pages: 510
Release: 2021-06-14
Genre: Computers
ISBN: 3030778762

This book constitutes the proceedings of the 20th International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2021, held in Irkutsk, Russia, in July 2021. The 29 full papers and 1 short paper presented in this volume were carefully reviewed and selected from 102 submissions. Additionally, 2 full invited papers are presented in the volume. The papers are grouped in the following topical sections: ​combinatorial optimization; mathematical programming; bilevel optimization; scheduling problems; game theory and optimal control; operational research and mathematical economics; data analysis.

Business Optimization Using Mathematical Programming

Business Optimization Using Mathematical Programming
Author: Josef Kallrath
Publisher: Springer Nature
Total Pages: 653
Release: 2021-08-31
Genre: Business & Economics
ISBN: 3030732371

This book presents a structured approach to formulate, model, and solve mathematical optimization problems for a wide range of real world situations. Among the problems covered are production, distribution and supply chain planning, scheduling, vehicle routing, as well as cutting stock, packing, and nesting. The optimization techniques used to solve the problems are primarily linear, mixed-integer linear, nonlinear, and mixed integer nonlinear programming. The book also covers important considerations for solving real-world optimization problems, such as dealing with valid inequalities and symmetry during the modeling phase, but also data interfacing and visualization of results in a more and more digitized world. The broad range of ideas and approaches presented helps the reader to learn how to model a variety of problems from process industry, paper and metals industry, the energy sector, and logistics using mathematical optimization techniques.