Bioinspired Heuristics for Optimization de El-Ghazali Talbi

Bioinspired Heuristics for Optimization: Studies in Computational Intelligence

El-Ghazali Talbi

Amir Nakib

en Limba Engleză Paperback – 22 dec 2018

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 book presents solutions, methods, algorithms, case studies, and software. It is a valuable resource for research academics and industrial practitioners.

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	Preț	Express
Paperback (1)	623^.18 lei 6-8 săpt.
Springer – 22 dec 2018	623^.18 lei 6-8 săpt.
Hardback (1)	627^.97 lei 6-8 săpt.
Springer International Publishing – 29 aug 2018	627^.97 lei 6-8 săpt.

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Express

Paperback (1)

623^.18 lei 6-8 săpt.

Springer – 22 dec 2018

623^.18 lei 6-8 săpt.

Hardback (1)

627^.97 lei 6-8 săpt.

Springer International Publishing – 29 aug 2018

627^.97 lei 6-8 săpt.

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Specificații

ISBN-13: 9783030069780
ISBN-10: 3030069788
Pagini: 324
Ilustrații: VIII, 314 p. 97 illus., 52 illus. in color.
Dimensiuni: 155 x 235 x 18 mm
Greutate: 0.49 kg
Ediția:Softcover reprint of the original 1st ed. 2019
Editura: Springer
Seria Studies in Computational Intelligence

Locul publicării:Cham, Switzerland

Cuprins

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.

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