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Nature-Inspired Optimization Algorithms
A theoretical and practical introduction to all major nature-inspired algorithms for optimization
300 pages, Kindle Edition
First published January 1, 2014
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December 10, 2020
Nature-Inspired Optimization Algorithms provides an introduction to all major nature-inspired algorithms for optimization. Topics include particle swarm optimization, ant and bee algorithms, simulated annealing, cuckoo search, firefly algorithm, bat algorithm, flower algorithm, harmony search, algorithm analysis, constraint handling, hybrid methods, parameter tuning and control, as well as multi-objective optimization.
I would recommend this book for graduates, doctoral students and lecturers in computer science, engineering and natural sciences. It could also serve as a source of inspiration for new applications.
I would recommend this book for graduates, doctoral students and lecturers in computer science, engineering and natural sciences. It could also serve as a source of inspiration for new applications.
Displaying 1 of 1 review