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Bioinspired heuristics for optimization

Author: El-Ghazali Talbi; Amir Nakib
Publisher: Cham, Switzerland : Springer, [2019].
Series: Studies in computational intelligence, v. 774.
Edition/Format:   eBook : Document : Conference publication : EnglishView all editions and formats
Summary:
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 Conference on Metaheuristics and Nature Inspired Computing, held at Marrakech (Morocco) from 27th to 31st October 2016, the  Read more...
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Genre/Form: Electronic books
Conference papers and proceedings
Congresses
Material Type: Conference publication, Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: El-Ghazali Talbi; Amir Nakib
ISBN: 9783319951041 3319951041
OCLC Number: 1048932209
Description: 1 online resource (viii, 314 pages) : illustrations (some color).
Contents: 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.
Series Title: Studies in computational intelligence, v. 774.
Responsibility: El-Ghazali Talbi, Amir Nakib, editors.

Abstract:

This book presents recent research on bioinspired heuristics for optimization. Featuring the most relevant work presented at the 6th International Conference on Metaheuristics and Nature Inspired  Read more...

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