Description: New Bio-inspired Optimization Algorithm Based on the Self-defense Mechanism of Plants in Nature, Paperback by Caraveo, Camilo; Valdez, Fevrier; Castillo, Oscar, ISBN 3030055507, ISBN-13 9783030055509, Like New Used, Free shipping in the US 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.
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Book Title: New Bio-inspired Optimization Algorithm Based on the Self-defense
Number of Pages: VIII, 57 Pages
Publication Name: New Bio-Inspired Optimization Algorithm Based on the Self-Defense Mechanism of Plants in Nature
Language: English
Publisher: Springer International Publishing A&G
Subject: Life Sciences / Botany, Plants / General, Engineering (General), Intelligence (Ai) & Semantics, Algebra / General, Optimization
Publication Year: 2019
Type: Textbook
Item Weight: 16 Oz
Item Length: 9.3 in
Author: Oscar Castillo, Fevrier Valdez, Camilo Caraveo
Subject Area: Mathematics, Nature, Computers, Technology & Engineering, Science
Series: Springerbriefs in Applied Sciences and Technology Ser.
Item Width: 6.1 in
Format: Trade Paperback
