<p><span>The main purpose of the present book is to develop a general framework for population-based metaheuristics based on some basic concepts of set theory. The idea of the framework is to divide the population of individuals into subpopulations of identical sizes. Therefore, in each iteration of
Advances in Metaheuristics Algorithms: Methods and Applications
✍ Scribed by Erik Cuevas, Daniel Zaldívar, Marco Pérez-Cisneros
- Publisher
- Springer International Publishing
- Year
- 2018
- Tongue
- English
- Leaves
- 229
- Series
- Studies in Computational Intelligence 775
- Edition
- 1st ed.
- Category
- Library
No coin nor oath required. For personal study only.
✦ Synopsis
This book explores new alternative metaheuristic developments that have proved to be effective in their application to several complex problems. Though most of the new metaheuristic algorithms considered offer promising results, they are nevertheless still in their infancy. To grow and attain their full potential, new metaheuristic methods must be applied in a great variety of problems and contexts, so that they not only perform well in their reported sets of optimization problems, but also in new complex formulations. The only way to accomplish this is to disseminate these methods in various technical areas as optimization tools. In general, once a scientist, engineer or practitioner recognizes a problem as a particular instance of a more generic class, he/she can select one of several metaheuristic algorithms that guarantee an expected optimization performance. Unfortunately, the set of options are concentrated on algorithms whose popularity and high proliferation outstrip those of the new developments. This structure is important, because the authors recognize this methodology as the best way to help researchers, lecturers, engineers and practitioners solve their own optimization problems.
✦ Table of Contents
Front Matter ....Pages i-xiv
Introduction (Erik Cuevas, Daniel Zaldívar, Marco Pérez-Cisneros)....Pages 1-8
The Metaheuristic Algorithm of the Social-Spider (Erik Cuevas, Daniel Zaldívar, Marco Pérez-Cisneros)....Pages 9-33
Calibration of Fractional Fuzzy Controllers by Using the Social-Spider Method (Erik Cuevas, Daniel Zaldívar, Marco Pérez-Cisneros)....Pages 35-55
The Metaheuristic Algorithm of the Locust-Search (Erik Cuevas, Daniel Zaldívar, Marco Pérez-Cisneros)....Pages 57-76
Identification of Fractional Chaotic Systems by Using the Locust Search Algorithm (Erik Cuevas, Daniel Zaldívar, Marco Pérez-Cisneros)....Pages 77-92
The States of Matter Search (SMS) (Erik Cuevas, Daniel Zaldívar, Marco Pérez-Cisneros)....Pages 93-118
Multimodal States of Matter Search (Erik Cuevas, Daniel Zaldívar, Marco Pérez-Cisneros)....Pages 119-165
Metaheuristic Algorithms Based on Fuzzy Logic (Erik Cuevas, Daniel Zaldívar, Marco Pérez-Cisneros)....Pages 167-218
✦ Subjects
Engineering; Computational Intelligence; Artificial Intelligence (incl. Robotics)
📜 SIMILAR VOLUMES
<p>Due to increasing industry 4.0 practices, massive industrial process data is now available for researchers for modelling and optimization. Artificial Intelligence methods can be applied to the ever-increasing process data to achieve robust control against foreseen and unforeseen system fluctuatio
<p><span>Comprehensive Metaheuristics: Algorithms and Applications</span><span> presents the foundational underpinnings of metaheuristics and a broad scope of algorithms and real-world applications across a variety of research fields. The book starts with fundamentals, mathematical prerequisites, an
<p><span>Comprehensive Metaheuristics: Algorithms and Applications</span><span> presents the foundational underpinnings of metaheuristics and a broad scope of algorithms and real-world applications across a variety of research fields. The book starts with fundamentals, mathematical prerequisites, an
<p>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 cap
<p><p>This book addresses the principles and applications of metaheuristic approaches in engineering and related fields. The first part covers metaheuristics tools and techniques such as ant colony optimization and Tabu search, and their applications to several classes of optimization problems. In t