A Comparison of Genetic Algorithm Operators for the Seat Allocation Problem-Reference-Cited by-同舟云学术

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A Comparison of Genetic Algorithm Operators for the Seat Allocation Problem

Published:2022-12-16 Issue: Volume: Page:
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Container-title:2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)
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Author:

Chandra Supriya Khaitan¹,Pandurang Kamble Snehal¹,Dalvi Savani Sachin¹,Shahaji Mane Snehal¹,Nair Devika Jayakumar¹

Affiliation:

1. Pillai College of Engineering,Department of Computer Engineering,Navi Mumbai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10073967/10073974/10074446.pdf?arnumber=10074446

Reference29 articles.

1. A review on genetic algorithm: past, present, and future;katoch;Multimedia Tools and Applications,2020

2. New Variations of Order Crossover for Travelling Salesman Problem;deep;International Journal of Combinatorial Optimization Problems and Informatics,2011

3. Genetic Algorithm for Traveling Salesman Problem with Modified Cycle Crossover Operator

4. CROSSOVER OPERATORS IN GENETIC ALGORITHMS: A REVIEW;umbarkar;ICTACT Journal on Soft Computing,2015

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1. Streamlining Examination Seating Arrangements Through Prompt Engineering: An Innovative Approach;Lecture Notes in Networks and Systems;2024

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