東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

General type-2 fuzzy logic in dynami...

Valdez, Fevrier.

Linked to FindBook

Google Book

Amazon

博客來

General type-2 fuzzy logic in dynamic parameter adaptation for the harmony search algorithm

Record Type:	Electronic resources : Monograph/item
Title/Author:	General type-2 fuzzy logic in dynamic parameter adaptation for the harmony search algorithm/ by Fevrier Valdez, Cinthia Peraza, Oscar Castillo.
Author:	Valdez, Fevrier.
other author:	Peraza, Cinthia.
Published:	Cham :Springer International Publishing : : 2020.,
Description:	vii, 83 p. :ill., digital ;24 cm.
[NT 15003449]:	Introduction to Fuzzy Harmony Search -- Theory of the Original Harmony Search Method -- Proposed Fuzzy Harmony Search Method -- Study Cases -- Conclusion.
Contained By:	Springer eBooks
Subject:	Fuzzy logic. -
Online resource:	https://doi.org/10.1007/978-3-030-43950-7
ISBN:	9783030439507

General type-2 fuzzy logic in dynamic parameter adaptation for the harmony search algorithm
Valdez, Fevrier.

General type-2 fuzzy logic in dynamic parameter adaptation for the harmony search algorithm[electronic resource] /by Fevrier Valdez, Cinthia Peraza, Oscar Castillo. - Cham :Springer International Publishing :2020. - vii, 83 p. :ill., digital ;24 cm. - SpringerBriefs in applied sciences and technology. Computational intelligence. - SpringerBriefs in applied sciences and technology.Computational intelligence..

Introduction to Fuzzy Harmony Search -- Theory of the Original Harmony Search Method -- Proposed Fuzzy Harmony Search Method -- Study Cases -- Conclusion.

This book focuses on the fields of fuzzy logic and metaheuristic algorithms, particularly the harmony search algorithm and fuzzy control. There are currently several types of metaheuristics used to solve a range of real-world of problems, and these metaheuristics contain parameters that are usually fixed throughout the iterations. However, a number of techniques are also available that dynamically adjust the parameters of an algorithm, such as probabilistic fuzzy logic. This book proposes a method of addressing the problem of parameter adaptation in the original harmony search algorithm using type-1, interval type-2 and generalized type-2 fuzzy logic. The authors applied this methodology to the resolution of problems of classical benchmark mathematical functions, CEC 2015, CEC2017 functions and to the optimization of various fuzzy logic control cases, and tested the method using six benchmark control problems - four of the Mamdani type: the problem of filling a water tank, the problem of controlling the temperature of a shower, the problem of controlling the trajectory of an autonomous mobile robot and the problem of controlling the speed of an engine; and two of the Sugeno type: the problem of controlling the balance of a bar and ball, and the problem of controlling control the balance of an inverted pendulum. When the interval type-2 fuzzy logic system is used to model the behavior of the systems, the results show better stabilization because the uncertainty analysis is better. As such, the authors conclude that the proposed method, based on fuzzy systems, fuzzy controllers and the harmony search optimization algorithm, improves the behavior of complex control plants.

ISBN: 9783030439507

Standard No.: 10.1007/978-3-030-43950-7doiSubjects--Topical Terms:

532071
Fuzzy logic.

LC Class. No.: QA9.64 / .V353 2020

Dewey Class. No.: 511.3

General type-2 fuzzy logic in dynamic parameter adaptation for the harmony search algorithm
LDR:02994nmm a2200337 a 4500 001 2217142
003 DE-He213
005 20200804164126.0
006 m d
007 cr nn 008maaau
008 201120s2020 sz s 0 eng d
020 $a 9783030439507 $q (electronic bk.)
020 $a 9783030439491 $q (paper)
024 7 $a 10.1007/978-3-030-43950-7 $2 doi
035 $a 978-3-030-43950-7
040 $a GP $c GP
041 0 $a eng
050 4 $a QA9.64 $b .V353 2020
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 511.3 $2 23
090 $a QA9.64 $b .V145 2020
100 1 $a Valdez, Fevrier. $3 2200051
245 1 0 $a General type-2 fuzzy logic in dynamic parameter adaptation for the harmony search algorithm $h [electronic resource] / $c by Fevrier Valdez, Cinthia Peraza, Oscar Castillo.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a vii, 83 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in applied sciences and technology. Computational intelligence
505 0 $a Introduction to Fuzzy Harmony Search -- Theory of the Original Harmony Search Method -- Proposed Fuzzy Harmony Search Method -- Study Cases -- Conclusion.
520 $a This book focuses on the fields of fuzzy logic and metaheuristic algorithms, particularly the harmony search algorithm and fuzzy control. There are currently several types of metaheuristics used to solve a range of real-world of problems, and these metaheuristics contain parameters that are usually fixed throughout the iterations. However, a number of techniques are also available that dynamically adjust the parameters of an algorithm, such as probabilistic fuzzy logic. This book proposes a method of addressing the problem of parameter adaptation in the original harmony search algorithm using type-1, interval type-2 and generalized type-2 fuzzy logic. The authors applied this methodology to the resolution of problems of classical benchmark mathematical functions, CEC 2015, CEC2017 functions and to the optimization of various fuzzy logic control cases, and tested the method using six benchmark control problems - four of the Mamdani type: the problem of filling a water tank, the problem of controlling the temperature of a shower, the problem of controlling the trajectory of an autonomous mobile robot and the problem of controlling the speed of an engine; and two of the Sugeno type: the problem of controlling the balance of a bar and ball, and the problem of controlling control the balance of an inverted pendulum. When the interval type-2 fuzzy logic system is used to model the behavior of the systems, the results show better stabilization because the uncertainty analysis is better. As such, the authors conclude that the proposed method, based on fuzzy systems, fuzzy controllers and the harmony search optimization algorithm, improves the behavior of complex control plants.
650 0 $a Fuzzy logic. $3 532071
650 0 $a Metaheuristics. $3 2206834
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Control and Systems Theory. $3 3381515
700 1 $a Peraza, Cinthia. $3 3450137
700 1 $a Castillo, Oscar. $3 855557
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a SpringerBriefs in applied sciences and technology. $p Computational intelligence. $3 2054423
856 4 0 $u https://doi.org/10.1007/978-3-030-43950-7
950 $a Intelligent Technologies and Robotics (Springer-42732)