Optimization and machine learning : optimization for machine learning and machine learning for optimization / coordinated by Rachid Chelouah, Patrick Siarry.

Format:

Book

Contributor:

Chelouah, Rachid, editor.

Siarry, Patrick, editor.

Wiley InterScience (Online service)

Series:

Sciences. Computer science. Operational research and decision

Language:

English

Subjects (All):

Machine learning.

Mathematical optimization.

Physical Description:

1 online resource.

Place of Publication:

London, UK : ISTE, Ltd. ; Hoboken, NJ : Wiley, 2022.

Contents:

Front Matter

Optimization. Vehicle Routing Problems with Loading Constraints: An Overview of Variants and Solution Methods / Ines Sbai, Saoussen Krichen

MAS-aware Approach for QoS-based IoT Workflow Scheduling in Fog-Cloud Computing / Marwa Mokni, Sonia Yassa

Solving Feature Selection Problems Built on Population-based Metaheuristic Algorithms / Mohamed Sassi

Solving the Mixed-model Assembly Line Balancing Problem by using a Hybrid Reactive Greedy Randomized Adaptive Search Procedure / Belkharroubi Lakhdar, Khadidja Yahyaoui

Machine Learning. An Interactive Attention Network with Stacked Ensemble Machine Learning Models for Recommendations / Ahlem Drif, SaadEddine Selmani, Hocine Cherifi

A Comparison of Machine Learning and Deep Learning Models with Advanced Word Embeddings: The Case of Internal Audit Reports / Gustavo Fleury Soares, Induraj Pudhupattu Ramamurthy

Hybrid Approach based on Multi-agent System and Fuzzy Logic for Mobile Robot Autonomous Navigation / Khadidja Yahyaoui

Intrusion Detection with Neural Networks: A Tutorial / Alvise De' Faveri Tron

List of Authors

Index

Notes:

Includes index.

Electronic reproduction. Hoboken, N.J. Available via World Wide Web.

Online resource; title from PDF title page (John Wiley, viewed March 3, 2022).

Other Format:

Print version:

ISBN:

9781119902881

1119902886

9781119902874

1119902878

Publisher Number:

40031483725

Access Restriction:

Restricted for use by site license.