Improved evolutionary operators for sparse large-scale multiobjective optimization problems
I Kropp, AP Nejadhashemi… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Many critical science, societal, and engineering fields contain large-scale multiobjective
optimization problems (LSMOPs), comprised of many decision variables. However, as the …
optimization problems (LSMOPs), comprised of many decision variables. However, as the …
Can the transition of multiple cropping systems affect the cropland change?
W Yibin, W Jian, L Fei, L Xiaolin, Z Dan - Agricultural Systems, 2024 - Elsevier
CONTEXT Intensification of cropland can achieve food security by increasing agricultural
production pre-unit yield, thereby slowing down cropland expansion. However, it is also …
production pre-unit yield, thereby slowing down cropland expansion. However, it is also …
A Systematic Review of Crop Planning Optimisation Under Climate Change
Optimising the use of natural resources for food production in the context of changing
climate is an increasingly important issue. Optimisation techniques have been shown to be …
climate is an increasingly important issue. Optimisation techniques have been shown to be …
Simulating synergistic effects of climate change and conservation practices on greenhouse gas emissions and crop growth in long-term maize cropping systems
Understanding the impacts of future climate change and long-term agronomic practices on
environmental quality and agricultural productivity is critical to the development of …
environmental quality and agricultural productivity is critical to the development of …
The social-ecological benefits of grain for green program based on coupled coordination network: Taking the China's Loess Plateau as an example
W Yibin, L Fei, W Jian, C Hongyu, L Mengfei - Land Use Policy, 2024 - Elsevier
Abstract The Grain for Green Program (GFGP) is the world's largest payment for ecosystem
services (PES). In the past 20 years, the Chinese government has implemented three stages …
services (PES). In the past 20 years, the Chinese government has implemented three stages …
Optimizing Artificial Neural Network for Demography Based Crop Recommendation: An Ocean Water Current Inspired Approach in Precision Agriculture
The challenge of optimal crop selection becomes more complex by the dynamic nature of
the ever-changing features of land surface type, soil type, climate, water requirements …
the ever-changing features of land surface type, soil type, climate, water requirements …
[图书][B] Sparse Large-Scale Multi-Objective Optimization for Climate-Smart Agricultural Innovation
IM Kropp - 2022 - search.proquest.com
The challenge of our generation is to produce enough food to feed the present and future
global population. This is no simple task, as the world population is expanding and …
global population. This is no simple task, as the world population is expanding and …