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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
  2. Altmetric Badge
    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 2: Solving the Uncapacitated Single Allocation p-Hub Median Problem on GPU
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Mentioned by

2 tweeters


2 Dimensions

Readers on

9 Mendeley
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Chapter title
Solving the Uncapacitated Single Allocation p-Hub Median Problem on GPU
Chapter number 2
Book title
Bioinspired Heuristics for Optimization
Published in
arXiv, January 2019
DOI 10.1007/978-3-319-95104-1_2
Book ISBNs
978-3-31-995103-4, 978-3-31-995104-1

Abdelhamid Benaini, Achraf Berrajaa, Jaouad Boukachour, Mustapha Oudani, A. Benaini, A. Berrajaa, J. Boukachour, M. Oudani

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 22%
Student > Master 2 22%
Student > Ph. D. Student 1 11%
Researcher 1 11%
Professor > Associate Professor 1 11%
Other 0 0%
Unknown 2 22%
Readers by discipline Count As %
Engineering 3 33%
Business, Management and Accounting 2 22%
Mathematics 2 22%
Unknown 2 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 April 2017.
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So far Altmetric has tracked 524,675 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 18th percentile – i.e., 18% of its peers scored the same or lower than it.
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We're also able to compare this research output to 20,048 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.