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

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 insec...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Caraveo, Camilo (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Valdez, Fevrier (http://id.loc.gov/vocabulary/relators/aut), Castillo, Oscar (http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
Έκδοση:1st ed. 2019.
Σειρά:SpringerBriefs in Computational Intelligence,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 2 |a A New Bio-inspired Optimization Algorithm Based on the Self-defense Mechanism of Plants in Nature  |h [electronic resource] /  |c by Camilo Caraveo, Fevrier Valdez, Oscar Castillo. 
250 |a 1st ed. 2019. 
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505 0 |a Introduction -- Theory and Background -- Self-defense of the Plants -- Predator-prey mode -- Proposed Method -- Case studies -- Conclusions. 
520 |a 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. 
650 0 |a Computational intelligence. 
650 0 |a Artificial intelligence. 
650 0 |a Plant science. 
650 0 |a Botany. 
650 0 |a Mathematical optimization. 
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650 2 4 |a Plant Sciences.  |0 http://scigraph.springernature.com/things/product-market-codes/L24000 
650 2 4 |a Optimization.  |0 http://scigraph.springernature.com/things/product-market-codes/M26008 
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