Optimizing Team Composition: Genetic Algorithms vs. Linear Programming in Resource Allocation-Reference-Cited by-同舟云学术

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Optimizing Team Composition: Genetic Algorithms vs. Linear Programming in Resource Allocation

Published:2023-12-21 Issue: Volume:2 Page:1-4
ISSN:
Container-title:2023 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI)
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Author:

Rajapriya M¹,Rohini V.²,Krishnan S. Arul¹,Prakash K.³,Gayathri G.⁴,Sugerthana Helena Seles D⁵

Affiliation:

1. Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi,Department of Management Studies,Chennai

2. S.A. Engineering College,Department of Management Studies,Chennai,Tamilnadu,India

3. SRM Institute of Science and Technology, Ramapuram,Faculty of Management,Chennai

4. Alpha Arts & Science College, Porur,Department of Computer Science,Chennai

5. Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi,Department of Commerce and Business Administration,Chennai

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10452407/10452427/10452457.pdf?arnumber=10452457

Reference17 articles.

1. A Comprehensive Survey on Machine Learning-Based Big Data Analytics for IoT-Enabled Smart Healthcare System

2. Resource Allocation Schemes for 5G Network: A Systematic Review

3. A survey on artificial intelligence approaches for medical image classification

4. Background Subtraction using Incremental Subspace Learning

5. Research on Wear Detection of End Milling Cutter Edge Based on Image Stitching

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