Article: Urban environmental sustainability and welfare management optimisation based on ant colony optimisation and embedded systems Journal: International Journal of Environment and Pollution (IJEP) 2026 Vol.76 No.1/2 pp.102 - 115 Abstract: Urban welfare management optimisation encompasses the full lifecycle of support for vulnerable populations, from initial intervention to long-term rehabilitation. In many economies, the number of employment and income opportunities is limited for destitute individuals, because of their low levels of skills, education, and capital. Rapid urbanisation has transformed many rural areas into metropolitan zones lacking open spaces, farmland, and water resources. This study investigates an enhanced ant colony optimisation (ACO) algorithm for path optimisation, combining global and local pheromone updates to improve computational efficiency and convergence. Spatial compression modification further accelerates optimisation by reducing developmental complexity. Embedded system applications promote the reuse of open spaces, offering income opportunities such as gardening and fresh-produce supply for the urban poor. Although they lack certain metropolitan amenities, they maintain rural ties through visits, relocation, and participation in social and economic institutions. Integrating indigenous knowledge into urban development can empower communities, alleviate poverty, and support environmentally sustainable growth. Inderscience Publishers - linking academia, business and industry through research

Title: Urban environmental sustainability and welfare management optimisation based on ant colony optimisation and embedded systems

Authors: Min Tang; Yanmin Cheng; Jie Deng

Addresses: College of Grammar and Law, Northeast Forestry University, Harbin, 150040, Heilongjiang, China ' College of Grammar and Law, Northeast Forestry University, Harbin, 150040, Heilongjiang, China ' College of Grammar and Law, Northeast Forestry University, Harbin, 150040, Heilongjiang, China

Abstract: Urban welfare management optimisation encompasses the full lifecycle of support for vulnerable populations, from initial intervention to long-term rehabilitation. In many economies, the number of employment and income opportunities is limited for destitute individuals, because of their low levels of skills, education, and capital. Rapid urbanisation has transformed many rural areas into metropolitan zones lacking open spaces, farmland, and water resources. This study investigates an enhanced ant colony optimisation (ACO) algorithm for path optimisation, combining global and local pheromone updates to improve computational efficiency and convergence. Spatial compression modification further accelerates optimisation by reducing developmental complexity. Embedded system applications promote the reuse of open spaces, offering income opportunities such as gardening and fresh-produce supply for the urban poor. Although they lack certain metropolitan amenities, they maintain rural ties through visits, relocation, and participation in social and economic institutions. Integrating indigenous knowledge into urban development can empower communities, alleviate poverty, and support environmentally sustainable growth.

Keywords: welfare management; urban; ACO; ant colony optimisation; embedded systems.

DOI: 10.1504/IJEP.2026.151759

International Journal of Environment and Pollution, 2026 Vol.76 No.1/2, pp.102 - 115

Received: 15 May 2025
Accepted: 28 Oct 2025
Published online: 18 Feb 2026 *

Title: Urban environmental sustainability and welfare management optimisation based on ant colony optimisation and embedded systems

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