UID:
almafu_9960112601802883
Format:
1 online resource (X, 192 p.)
ISBN:
9783110716214
Series Statement:
De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences , 10
Content:
This book offers a thorough overview of the most popular and researched meta-heuristic optimization techniques and nature-inspired algorithms. Their wide applicability makes them a hot research topic and an effi cient tool for the solution of complex optimization problems in various fi elds of sciences, engineering, and in numerous industries.
Note:
Frontmatter --
,
Preface --
,
Acknowledgments --
,
Contents --
,
Nature-inspired metaheuristic algorithms for optimization --
,
An optimization approach for highway alignment using metaheuristic algorithms --
,
A method for solving bi-objective transportation problem under fuzzy environment --
,
Application of particle swarm optimization technique in an interval-valued EPQ model --
,
Optimization techniques used for designing economic electrical power distribution --
,
Meta-heuristic optimization techniques in navigation constellation design --
,
Correlation and heuristic analysis of polymer-modified concrete subjected to alternate wetting and drying --
,
q-Rung orthopair fuzzy entropy measure and its application in multi-attribute decision-making --
,
A fuzzy multi-criteria decision-making approach for crime linkage utilizing resemblance function under hesitant fuzzy environment --
,
Integrating novel-modified TOPSIS with central composite design to model and optimize O2 delignification process in pulp and paper industry --
,
Deep learning for satellite-based data analysis --
,
Editors’ Biography --
,
Index
,
In English.
Additional Edition:
ISBN 9783110716252
Additional Edition:
ISBN 9783110716177
Language:
English
DOI:
10.1515/9783110716214
URL:
https://doi.org/10.1515/9783110716214
URL:
https://www.degruyter.com/isbn/9783110716214
URL:
https://doi.org/10.1515/9783110716214
URL:
https://www.degruyter.com/isbn/9783110716214
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