book

Metaheuristic Optimization Algorithms

by Laith Abualigah

May 2024

Intermediate to advanced

290 pages

9h 33m

English

Morgan Kaufmann

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Abstract1.1 Introduction1.2 Particle swarm optimization1.3 Related works1.4 Discussion1.5 ConclusionReferences
Abstract2.1 Introduction2.2 Related work2.3 Social spider optimization method2.4 Experiment result2.5 Discussion2.6 ConclusionReferences
Abstract3.1 Introduction3.2 Animal migration optimization algorithm procedure3.3 Related works3.4 Discussion3.5 ConclusionReferences
Abstract4.1 Introduction4.2 Cuckoo search algorithm4.3 Related works4.4 Method4.5 Discussion4.6 Advanced work4.7 ConclusionReferences
Abstract5.1 Introduction5.2 Teaching–learning-based optimization5.3 Literature review5.4 Discussion and future works5.5 ConclusionReferences

Abstract6.1 Introduction6.2 Arithmetic optimization algorithm6.3 Related Works6.4 Discussion6.5 Conclusion and future workReferences
Abstract7.1 Introduction7.2 Procedure7.3 Related works7.4 Discussion7.5 ConclusionReferences
Abstract8.1 Introduction8.2 The whale optimization algorithm8.3 Related work8.4 Discussion8.5 Conclusion and future workReferences
Abstract9.1 Introduction9.2 Spider monkey optimization algorithm9.3 Related work9.4 Discussion9.5 Conclusion and future worksReferences
Abstract10.1 Introduction10.2 Marine Predator's Algorithm10.3 Related Works10.4 Discussion10.5 Conclusion and Future WorkReferences
Abstract11.1 Introduction11.2 Methods11.3 Related works11.4 Result11.5 Discussion11.6 ConclusionReferences
Abstract12.1 Introduction12.2 Crow search algorithm12.3 Related work12.4 Conclusion and future workReferences
Abstract13.1 Introduction13.2 Henry gas solubility optimization13.3 Related works13.4 Discussion13.5 Conclusion and future worksReferences
Abstract14.1 Introduction14.2 Manta ray foraging optimization14.3 Related works14.4 Discussion14.5 Conclusion and future workReferences
Abstract15.1 Introduction15.2 Moth Flame Optimization Algorithm15.3 The Growth of the Moth Flame Optimization Algorithm in the Literature15.4 Application15.5 Discussion15.6 Concluding RemarksReferences
Abstract16.1 Introduction16.2 Literature review16.3 Results and discussion16.4 ConclusionReferences
Abstract17.1 Introduction17.2 Krill herd algorithm procedure17.3 Related work17.4 ConclusionReferences
Abstract18.1 Introduction18.2 Related work procedure of the algorithm18.3 Methods18.4 Results18.5 ConclusionReferences

Content preview from Metaheuristic Optimization Algorithms

Front Cover for Metaheuristic Optimization Algorithms - Optimizers, Analysis, and Applications - 1st edition - by Laith Abualigah

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Optimization Algorithms

Alaa Khamis

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Mark Needham, Amy E. Hodler

Bayesian Optimization in Action

Quan Nguyen

Publisher Resources

ISBN: 9780443139260

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,and much more.

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Optimization Algorithms

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Publisher Resources

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.