A New Bio-inspired Optimization Algorithm Based on the Self-defense Mechanism of Plants in Nature

Name: A New Bio-inspired Optimization Algorithm Based on the Self-defense Mechanism of Plants in Nature
SKU: 28623399
Price: 139.99 AUD
Availability: InStock

By:

Format:

Paperback / softback

Series:

SpringerBriefs in Computational Intelligence

Show Hide Adult Content

$139.99

Available from supplier

Usually ships in 3-4 weeks

0 in Trolley

Price Match

Buy Now, Pay Later with:

4 payments of $35.00 with Afterpay Learn more

Availability

Delivering to:

Estimated arrival:

Around 11-21 June using International Courier

Description

This book presents a new meta-heuristic algorithm, inspired by the self-defense mechanisms of plants in nature. Numerous published works have demonstrated the various self-defense mechanisms (survival strategies) plants use to protect themselves against predatory organisms, such as herbivorous insects. The proposed algorithm is based on the predator–prey mathematical model originally proposed by Lotka and Volterra, consisting of two nonlinear first-order differential equations, which allow the growth of two interacting populations (prey and predator) to be modeled. The proposed meta-heuristic is able to produce excellent results in several sets of benchmark optimization problems. Further, fuzzy logic is used for dynamic parameter adaptation in the algorithm.

Release date Australia

January 14th, 2019

Author

Audience

Professional & Vocational

Edition

1st ed. 2019

Illustrations

VIII, 57 p.

Pages

Series

SpringerBriefs in Computational Intelligence

ISBN-13

9783030055509

Product ID

28623399

Customer reviews

Nobody has reviewed this product yet. You could be the first!

Write a Review

Marketplace listings

There are no Marketplace listings available for this product currently.
Already own it? Create a free listing and pay just 9% commission when it sells!

Sell Yours Here