Bioinspired Heuristics for Optimization

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...

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Detaylı Bibliyografya
Müşterek Yazar: SpringerLink (Online service)
Diğer Yazarlar: Talbi, El-Ghazali (Editör), Nakib, Amir (Editör)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : Imprint: Springer, 2019.
Edisyon:1st ed. 2019.
Seri Bilgileri:Studies in Computational Intelligence, 774
Konular:
Computational intelligence.
Artificial intelligence.
Computational Intelligence.
Artificial Intelligence.
Online Erişim:Full-text access
OPAC'ta görüntüle
İçindekiler:
  • 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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