Language: English - ISBN-10: 0124167438 - ISBN-13: 978-0124167438 ...
Nature-Inspired Optimization Algorithms
provides a systematic introduction to all major nature-inspired
algorithms for optimization. The book's unified approach, balancing
algorithm introduction, theoretical background and practical
implementation, complements extensive literature with well-chosen case
studies to illustrate how these algorithms work. 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. This
book can serve as an introductory book for graduates, doctoral students
and lecturers in computer science, engineering and natural sciences. It
can also serve a source of inspiration for new applications.
Researchers and engineers as well as experienced experts will also find
it a handy reference. * * * Discusses and summarizes the latest developments in nature-inspired algorithms with comprehensive, timely literature + Provides a theoretical understanding as well as practical implementation hints + Provides a step-by-step introduction to each algorithm.