Multi-Objective Optimisation Model Under Multiplex Weighted Drivers’ Collaboration Network: Risk, Time and Profit Management Perspectives

Kalantari, Hamed; Badiee, Aghdas; Tabaie, Zahra Sadat; Moshtari, Mohammad

doi:10.2139/ssrn.4105668

Cited by 1 publication

(1 citation statement)

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“…e adaptive nonlinearly varying inertia weights in the PSO algorithm, which allowed the algorithm to be coarsely tuned in the initial iterations to quickly approach the optimal solution and gradually fine-tuned in subsequent iterations to more accurately approximate the optimal solution, have been used [18].…”

Section: Introducing or Optimizing Hyperparametersmentioning

confidence: 99%

A Village Reconstruction Model Using Particle Swarm Optimization Algorithm

Zhang

Chen

Sun

et al. 2022

Mobile Information Systems

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In bygone days, the way to deal with traditional villages in developing new cities in China was often to overturn them and replace the original environment with the built-up urban environment, causing constructive destruction to the traditions and cultures. According to the new village transformation requirements, the planning and construction of villages must be shaped with their own cultural and humanistic characteristics of the habitat requirements. It does not favor demolishing large constructions by implementing a different environment. A traditional village is an essential spatial framework to retain the “mark” of the local characteristics of the new city. It can be an essential element in shaping the individual characteristics of the village by realizing the diversity of spatial forms and regional cultural connotations of the new village. Therefore, this paper proposes a new village transformation model based on traditional villages’ social, economic, and spatial patterns, combined with a new particle swarm optimization (PSO) algorithm named multi-objective particle swarm optimization (MOPSO). The model transforms the village based on the required optimum resource allocation with the global solution. The experiment shows that the proposed model suits village renovation and modernization. The work is a step toward the advancements and betterment of rural development.

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Section: Introducing or Optimizing Hyperparametersmentioning

confidence: 99%