Into a Deeper Understanding of Evolutionary Computing: Exploration, Exploitation, and Parameter Control
Volume 2
Abdul Halim, Abdul Hanif.
creator
author.
aut
http://id.loc.gov/vocabulary/relators/aut
Das, Swagatam.
author.
aut
http://id.loc.gov/vocabulary/relators/aut
Ismail, Idris.
author.
aut
http://id.loc.gov/vocabulary/relators/aut
SpringerLink (Online service)
text
sz
2024
1st ed. 2024.
monographic
eng
access
XVI, 320 p. 94 illus., 12 illus. in color. online resource.
This book delves into fundamental and advanced strategies for enhancing evolutionary and metaheuristic algorithms, focusing on the vital balance between exploration and exploitation search mechanisms. As technological advancements increase optimization complexity, effectively managing this balance becomes crucial for achieving optimal solutions within reasonable computational resources. The book's distinctive structure organizes content according to optimization stages, offering a comprehensive discussion of various approaches supported by extensive literature.
Location size and capacity -- Algorithm Parameters Tuning and Control -- Conclusion and Future Prospects.
by Abdul Hanif Abdul Halim, Swagatam Das, Idris Ismail.
Computational intelligence
Artificial intelligence
Computational Intelligence
Artificial Intelligence
Q342
Springer Nature eBook
Emergence, Complexity and Computation, 51
9783031755774
https://doi.org/10.1007/978-3-031-75577-4
https://doi.org/10.1007/978-3-031-75577-4
250118
20251030114927.0
978-3-031-75577-4