Bioinspired Heuristics for Optimization

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Talbi, El-Ghazali (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Nakib, Amir (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Studies in Computational Intelligence, 774
• Θέματα: Computational intelligence.; Artificial intelligence.; Computational Intelligence.; Artificial Intelligence.

This book presents recent research on bioinspired heuristics for optimization. Learning- based and black-box optimization exhibit some properties of intrinsic parallelization, and can be used for various optimizations problems. Featuring the most relevant work presented at the 6th International Conf...

Πίνακας περιεχομένων:

• Possibilistic Framework for Multi-objective Optimization under Uncertainty
• Solving the Uncapacitated Single Allocation p-Hub Median Problem on GPU. Phase Equilibrium Description of a Supercritical Extraction System using Metaheuristic Optimization Algorithms
• Intrusion Detection System based on a behavioral approach
• A new hybrid method to solve the multi-objective optimization problem for a composite hat-stiffened panel
• Storage yard management: modelling and solving
• Multi-capacitated location problem : A new resolution method combining exact and heuristic approaches based on set partitioning
• Application of genetic algorithm for solving bilevel linear programming problems
• Adapted Bin-Packing algorithm for the yard optimization problem
• Hidden Markov Model classifier for the adaptive ACS-TSP pheromone parameters.