Penerbit KBM
BIO-INSPIRED SWARM OPTIMISATION Volume 1 Theory Twelve Swarms, One Mathematics
NAMA PENULIS : Anggara Trisna Nugraha , Wen-Lin Chu ,Bo-Lin Jian
ISBN : Proses
JUMLAH HALAMAN : 178 Halaman
UKURAN : 15,5 x 23 CM
Sinopsis : BIO-INSPIRED SWARM OPTIMISATION
What do twelve famous optimisers really compute?
Hundreds of optimisation algorithms are named after animals. This book takes twelve of the most widely used ones and asks a simple question: once the animals are set aside, what does each method actually compute?
Every update rule is rewritten in one notation and derived line by line. Every closed-form result is verified numerically. Every claim is tested in 3,000 runs under one evaluation budget, with the optimum at the centre of the search box and away from it.
The answer is a classification that practitioners can use at once. Eight optimisers move by differences and do not care where the optimum lies. Four are tied to the origin and lose between two and ten decades of accuracy when it moves.
12 95 40 3,000
optimisers in one notation equations derived step by step formulas verified numerically runs, centred and shifted
INSIDE THIS VOLUME
• Introduction, history, model and step-by-step derivations for each optimiser
• Worked examples that can be checked by hand, and exercises
• 48 figures and 59 tables generated from the accompanying Octave code
• Glossary, index and complete source listings
For researchers, engineers and graduate students in optimisation, control, machine learning and image processing.
ABC — Artificial Bee Colony GOA — Grasshopper Optimisation Algorithm
ACO — Ant Colony Optimisation GWO — Grey Wolf Optimiser
BA — Bat Algorithm JSO — Jellyfish Search Optimiser
BCO — Bee Colony Optimisation KH — Krill Herd
BFO — Bacterial Foraging Optimisation PSO — Particle Swarm Optimisation
EPO — Emperor Penguin Optimiser WOA — Whale Optimisation Algorithm
Ready Stock (1 unit)
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