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Biologically inspired techniques in ...
~
(1998 :)
Biologically inspired techniques in many-criteria decision makingInternational Conference on Biologically Inspired Techniques in Many-Criteria Decision Making (BITMDM-2019) /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Biologically inspired techniques in many-criteria decision makingedited by Satchidananda Dehuri ... [et al.].
Reminder of title:
International Conference on Biologically Inspired Techniques in Many-Criteria Decision Making (BITMDM-2019) /
remainder title:
BITMDM 2019
other author:
Dehuri, Satchidananda.
corporate name:
Published:
Cham :Springer International Publishing :2020.
Description:
xv, 258 p. :ill. (some col.), digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Multiple criteria decision makingBibliography.
Online resource:
https://doi.org/10.1007/978-3-030-39033-4
ISBN:
9783030390334$q(electronic bk.)
Biologically inspired techniques in many-criteria decision makingInternational Conference on Biologically Inspired Techniques in Many-Criteria Decision Making (BITMDM-2019) /
Biologically inspired techniques in many-criteria decision making
International Conference on Biologically Inspired Techniques in Many-Criteria Decision Making (BITMDM-2019) /[electronic resource] :BITMDM 2019edited by Satchidananda Dehuri ... [et al.]. - Cham :Springer International Publishing :2020. - xv, 258 p. :ill. (some col.), digital ;24 cm. - Learning and analytics in intelligent systems,v.102662-3447 ;. - Learning and analytics in intelligent systems ;v.1..
This book addresses many-criteria decision-making (MCDM), a process used to find a solution in an environment with several criteria. In many real-world problems, there are several different objectives that need to be taken into account. Solving these problems is a challenging task and requires careful consideration. In real applications, often simple and easy to understand methods are used; as a result, the solutions accepted by decision makers are not always optimal solutions. On the other hand, algorithms that would provide better outcomes are very time consuming. The greatest challenge facing researchers is how to create effective algorithms that will yield optimal solutions with low time complexity. Accordingly, many current research efforts are focused on the implementation of biologically inspired algorithms (BIAs), which are well suited to solving uni-objective problems. This book introduces readers to state-of-the-art developments in biologically inspired techniques and their applications, with a major emphasis on the MCDM process. To do so, it presents a wide range of contributions on e.g. BIAs, MCDM, nature-inspired algorithms, multi-criteria optimization, machine learning and soft computing.
ISBN: 9783030390334$q(electronic bk.)
Standard No.: 10.1007/978-3-030-39033-4doiSubjects--Topical Terms:
439968
Multiple criteria decision making
--Bibliography.
LC Class. No.: T57.95
Dewey Class. No.: 658.403
Biologically inspired techniques in many-criteria decision makingInternational Conference on Biologically Inspired Techniques in Many-Criteria Decision Making (BITMDM-2019) /
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This book addresses many-criteria decision-making (MCDM), a process used to find a solution in an environment with several criteria. In many real-world problems, there are several different objectives that need to be taken into account. Solving these problems is a challenging task and requires careful consideration. In real applications, often simple and easy to understand methods are used; as a result, the solutions accepted by decision makers are not always optimal solutions. On the other hand, algorithms that would provide better outcomes are very time consuming. The greatest challenge facing researchers is how to create effective algorithms that will yield optimal solutions with low time complexity. Accordingly, many current research efforts are focused on the implementation of biologically inspired algorithms (BIAs), which are well suited to solving uni-objective problems. This book introduces readers to state-of-the-art developments in biologically inspired techniques and their applications, with a major emphasis on the MCDM process. To do so, it presents a wide range of contributions on e.g. BIAs, MCDM, nature-inspired algorithms, multi-criteria optimization, machine learning and soft computing.
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Intelligent Technologies and Robotics (Springer-42732)
based on 0 review(s)
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EB T57.95 .I61 2019 2020
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https://doi.org/10.1007/978-3-030-39033-4
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