基于联合国第九个目标（工业，创新和基建）的指导下，作为普通人，我们如何可以帮助贵阳实施可持续发展？
Based on the guidance of UN goal 9: industry，innovation and infrastructure， as the ordinary people，how can we help our city Guiyang achieve sustainable development？#一带一路倡议和联合国可持续发展目标的一致性##可持续发展目标##新基建拓展创新发展空间#
Based on the guidance of UN goal 9: industry，innovation and infrastructure， as the ordinary people，how can we help our city Guiyang achieve sustainable development？#一带一路倡议和联合国可持续发展目标的一致性##可持续发展目标##新基建拓展创新发展空间#
#每日一善[超话]#
#阳光信用# #每日一善#
The brightest future will always be based on a forgotten past, you can’t go on well in life until you let go of your past failures and heartaches. 光明灿烂的明天建立在忘却的过去之上。只有让以往的失败和伤心随风而去，你才能过得更好.
#阳光信用# #每日一善#
The brightest future will always be based on a forgotten past, you can’t go on well in life until you let go of your past failures and heartaches. 光明灿烂的明天建立在忘却的过去之上。只有让以往的失败和伤心随风而去，你才能过得更好.
#每日一善[超话]#[太阳]#阳光信用# [举手]#每日一善#
This study conducted an in-depth exploration into the rationality of the geographical adjacency aspect of fixed asset investment (FAI) allocation across various districts in Guangzhou city. Based on the complex and changing economic environment, the FAI distribution behind Guangzhou's economic resilience was analyzed. Advanced algorithms were employed to verify the rationality of FAI allocation in terms of geographical adjacency, providing profound insights into the economic development of Guangzhou.
A regional layout optimization problem with adjacent soft constraints was created. Through four different mechanisms of tabu search, including the tabu simulated annealing layout optimization algorithm, the geographical adjacency was comprehensively analyzed. These relationships were visually displayed through charts.
An economic indicator that integrates GDP, permanent resident population, total retail sales of social consumer goods, and FAI was constructed. The data was normalized using range standardization, and weights were determined using gradient boosting trees and PCA. On this basis, a mathematical programming model was established, with the predicted economic indicator as the objective function and the redistribution of district FAI as decision variables, following the principles of sum constraint and gradual progress.
To test the rationality of FAI allocation in 2022, a Multi-Layer Perceptron (MLP) neural network model was constructed, and Differential Evolution (DE) algorithm was used to analyze big data to achieve ideal FAI allocation. For the 2023 test, model improvements were made to adapt to the decrease in initial values caused by the decline in FAI in some districts. Based on the MLP Differential Evolution algorithm, the newly proposed Kepler Optimization Algorithm (KOA) in 2023 was introduced. Analogous to the influence of gravity on planetary motion, Differential Evolution was used to simulate the interaction between individuals. Steps such as mass calculation, gravitational calculation, acceler
This study conducted an in-depth exploration into the rationality of the geographical adjacency aspect of fixed asset investment (FAI) allocation across various districts in Guangzhou city. Based on the complex and changing economic environment, the FAI distribution behind Guangzhou's economic resilience was analyzed. Advanced algorithms were employed to verify the rationality of FAI allocation in terms of geographical adjacency, providing profound insights into the economic development of Guangzhou.
A regional layout optimization problem with adjacent soft constraints was created. Through four different mechanisms of tabu search, including the tabu simulated annealing layout optimization algorithm, the geographical adjacency was comprehensively analyzed. These relationships were visually displayed through charts.
An economic indicator that integrates GDP, permanent resident population, total retail sales of social consumer goods, and FAI was constructed. The data was normalized using range standardization, and weights were determined using gradient boosting trees and PCA. On this basis, a mathematical programming model was established, with the predicted economic indicator as the objective function and the redistribution of district FAI as decision variables, following the principles of sum constraint and gradual progress.
To test the rationality of FAI allocation in 2022, a Multi-Layer Perceptron (MLP) neural network model was constructed, and Differential Evolution (DE) algorithm was used to analyze big data to achieve ideal FAI allocation. For the 2023 test, model improvements were made to adapt to the decrease in initial values caused by the decline in FAI in some districts. Based on the MLP Differential Evolution algorithm, the newly proposed Kepler Optimization Algorithm (KOA) in 2023 was introduced. Analogous to the influence of gravity on planetary motion, Differential Evolution was used to simulate the interaction between individuals. Steps such as mass calculation, gravitational calculation, acceler
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