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Integrating interactive decision making into evolutionary multiobjective agricultural optimization

delete2025-12-24
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PRE
AI
I
Ian Kropp *
A
A. Pouyan Nejadhashemi
P
Prakash Kumar Jha
E
Elijah Spinner
G
Gregorio Toscano‐Pulido
DOI：10.1016/j.compag.2025.111359delete
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Abstract

Abstract

En 中文
• Interactivity is feasible in evolutionary multiobjective agricultural irrigation management. • A modular implementation of PI-EMO-VF was implemented in Python for pymoo. • Interactive NSGA-II (PI-NSGA-II) performs as well as NSGA-II with half the function evaluations.

Journal

Computers and Electronics in Agriculture cover
Computers and Electronics in Agriculture
IF:
8.9
Papers:
9.9K
Citations:
4.8W

Organization

T
the catholic university of america
Scholars:
100
Papers: 61
Citations: 0
Ohio Northern University cover
Ohio Northern University
Scholars:
181
Papers: 121
Citations: 116
M
mississippi state university
Scholars:
7.4K
Papers: 6.9K
Citations: 70
M
michigan state university
Scholars:
3.6W
Papers: 3.2W
Citations: 44
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