Meta-heuristic Optimization Techniques : Applications in Engineering / ed. by Mangey Ram, Anuj Kumar, Sangeeta Pant, Om Yadav.
Contributor(s): Anupam, Kumar [contributor.]
| Asherlou, Sina [contributor.] | Burak Pancar, Erhan [contributor.] | Dutta, Palash [contributor.] | Goala, Soumendra [contributor.] | Gogoi, Bidyut B [contributor.] | Kartik, A [contributor.] | Kumar Goley, Pankaj [contributor.] | Kumar Nayak, Prasun [contributor.] | Kumar, Anuj [contributor.] | Kumar, Anuj [editor.] | Kumar, Kamal [contributor.] | Kumar, Yogendra [contributor.] | Kumari, Anita [contributor.] | Nirmala, S [contributor.] | Oruç, Şeref [contributor.] | Pant, Prashant [contributor.] | Pant, Sangeeta [contributor.] | Pant, Sangeeta [editor.] | Priyanka, T. K [contributor.] | Rahaman Seikh, Mijanur [contributor.] | Ram, Mangey [editor.] | Rao, V. Ranga [contributor.] | Ruidas, Subhendu [contributor.] | Saikia, Bornali [contributor.] | Sarla, Pushpalatha [contributor.] | Sharma, Amit [contributor.] | Singh, Manoj K [contributor.] | Singh, Nagendra [contributor.] | Singh, Sandeep [contributor.] | Singh, Sukhveer [contributor.] | Swetha Devi, Ch [contributor.] | Uniyal, Nitin [contributor.] | Yadav, Anil [contributor.] | Yadav, Om [editor.] | Yelghi, Aref [contributor.].
Material type: 
BookSeries: De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences , 10.Publisher: Berlin ; Boston : De Gruyter, [2022]Copyright date: ©2022Description: 1 online resource (X, 192 p.).Content type: text Media type: computer Carrier type: online resourceISBN: 9783110716214.Subject(s): Engineering mathematics | Mathematical optimization | Metaheuristics | Algorithmen | Kombinatorik | Künstliche Intelligenz | Metaheuristik | COMPUTERS / Neural NetworksAdditional physical formats: No title; No titleDDC classification: 620.001/5196 Online resources: Click here to access online | Click here to access online | Cover Issued also in print.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
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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.
Issued also in print.
Mode of access: Internet via World Wide Web.
In English.
Description based on online resource; title from PDF title page (publisher's Web site, viewed 29. Mai 2023)
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