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Bioinspired Heuristics for Optimization

Overview of attention for book
Cover of 'Bioinspired Heuristics for Optimization'

Table of Contents

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    Book Overview
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    Chapter 1 Possibilistic Framework for Multi-objective Optimization Under Uncertainty
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    Chapter 2 Solving the Uncapacitated Single Allocation p-Hub Median Problem on GPU
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    Chapter 3 Phase Equilibrium Description of a Supercritical Extraction System Using Metaheuristic Optimization Algorithms
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    Chapter 4 Intrusion Detection System Based on a Behavioral Approach
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    Chapter 5 A New Hybrid Method to Solve the Multi-objective Optimization Problem for a Composite Hat-Stiffened Panel
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    Chapter 6 Storage Yard Management: Modelling and Solving
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    Chapter 7 Multi-capacitated Location Problem: A New Resolution Method Combining Exact and Heuristic Approaches Based on Set Partitioning
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    Chapter 8 Application of Genetic Algorithm for Solving Bilevel Linear Programming Problems
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    Chapter 9 Adapted Bin-Packing Algorithm for the Yard Optimization Problem
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    Chapter 10 Hidden Markov Model Classifier for the Adaptive ACS-TSP Pheromone Parameters
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    Chapter 11 CHN and Min-Conflict Heuristic to Solve Scheduling Meeting Problems
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    Chapter 12 A Probabilistic Finite State Machine Design of Particle Swarm Optimization
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    Chapter 13 Algorithm Selector and Prescheduler in the ICON Challenge
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    Chapter 14 A Metaheuristic Approach to Compute Pure Nash Equilibria
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    Chapter 15 Hybrid Genetic Algorithms to Solve the Multidimensional Knapsack Problem
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    Chapter 16 Solving the Home Health Care Problem with Temporal Precedence and Synchronization
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    Chapter 17 Automatically Generating Assessment Tests Within Higher Education Context Thanks to Genetic Approach
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    Chapter 18 Ant Colony Optimization for Optimal Low-Pass Filter Sizing
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    Chapter 19 Maximum a Posteriori Based Evolutionary Algorithm
Attention for Chapter 17: Automatically Generating Assessment Tests Within Higher Education Context Thanks to Genetic Approach
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Chapter title
Automatically Generating Assessment Tests Within Higher Education Context Thanks to Genetic Approach
Chapter number 17
Book title
Bioinspired Heuristics for Optimization
Published by
Springer, Cham, January 2019
DOI 10.1007/978-3-319-95104-1_17
Book ISBNs
978-3-31-995103-4, 978-3-31-995104-1
Authors

R. Ciguené, C. Joiron, G. Dequen

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 1 33%
Student > Bachelor 1 33%
Unknown 1 33%
Readers by discipline Count As %
Computer Science 1 33%
Psychology 1 33%
Unknown 1 33%