| 000 -LEADER |
|---|
| fixed length control field |
02490nam a22002417a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
FT8891 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20251217140029.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
251217b ||||| |||| 00| 0 eng d |
| 041 ## - LANGUAGE CODE |
|---|
| Language code of text/sound track or separate title |
engtag |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
QA76.9 A43 M57 2025 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
. |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Miranda, Melissa Ruth M.; Petras, Mark Christopher B |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
An enhancement of javadi ET. AL.’S non-dominated sorting-genetic algorithm-II-grid-based crowding distance algorithm (NSGA-II-GR) for resource allocation applied in optimizing rabi crops yield |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
. |
| Name of producer, publisher, distributor, manufacturer |
. |
| Date of production, publication, distribution, manufacture, or copyright notice |
c2025 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Other physical details |
Undergraduate Thesis: (Bachelor of Science in Computer Science) - Pamantasan ng Lungsod ng Maynila, 2025 |
| 336 ## - CONTENT TYPE |
|---|
| Source |
text |
| Content type term |
text |
| Content type code |
text |
| 337 ## - MEDIA TYPE |
|---|
| Source |
unmediated |
| Media type term |
unmediated |
| Media type code |
unmediated |
| 338 ## - CARRIER TYPE |
|---|
| Source |
volume |
| Carrier type term |
volume |
| Carrier type code |
volume |
| 505 ## - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
ABSTRACT: Agriculture serves as the backbone of the Philippine economy, with its ability to sustain a growing global population reliant on effective resource management. This study introduces an enhanced version of the Non-Dominated Sorting Genetic Algorithm-II-Grid-Based Crowding Distance Algorithm (NSGA-II-Gr) to improve resource allocation strategies in agricultural management. Traditional NSGA-II-Gr algorithm often face challenges in high-dimensional multi-objective optimization, including premature convergence, poor diversity preservation, and high computational cost due to pairwise distance calculations. To address these limitations, the proposed approach integrates three novel mechanisms. First, a Euclidean distance-based diversity preservation technique ensures a more uniform distribution of solutions and reduces clustering in the objective space. Second, an optimized grid-based distance computation minimizes redundant calculations, significantly improving efficiency. Third, an adaptive spreading mechanism dynamically adjusts mutation intensity, promoting broad exploration in early generations and fine-tuned convergence in later stages. These enhancements collectively prevent premature convergence, maintain diversity, and reduce computational overhead. Evaluations using the hypervolume metric demonstrate that the improved NSGA-II-Gr achieves a more consistent and balanced spread of solutions. This research provides a more robust and scalable optimization framework for complex agricultural decision-making, supporting sustainable productivity through better resource managemen |
| 526 ## - STUDY PROGRAM INFORMATION NOTE |
|---|
| Classification |
Filipiniana |
| 655 ## - INDEX TERM--GENRE/FORM |
|---|
| Genre/form data or focus term |
academic writing |
| 942 ## - ADDED ENTRY ELEMENTS |
|---|
| Source of classification or shelving scheme |
|
| Item type |
Thesis/Dissertation |