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A Multi-Objective Mixed-Integer Model for Asymmetric Roadside Greenbelt Design in Arid Highway Corridors | ||
| Control and Optimization in Applied Mathematics | ||
| مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 11 مهر 1405 اصل مقاله (1013.65 K) | ||
| نوع مقاله: Research Article | ||
| شناسه دیجیتال (DOI): 10.30473/coam.2026.79174.1456 | ||
| نویسندگان | ||
| Fatema Ali Albayati* 1؛ Nadia Ali Abbas Almosa2؛ Hayder F. Ghazi1 | ||
| 1Department of Mathematics, College of Education for Pure Sciences, University of Babylon, Babylon, Iraq | ||
| 2College of Information Technology, University of Babylon, Babylon, Iraq | ||
| چکیده | ||
| We formulate roadside greenbelt design in arid highway corridors as a constrained multi-objective mixed-integer nonlinear program on a discretized cross-section consisting of a median and two verges. Activating a cell installs a cluster of one species, and a per-zone irrigation variable fixes the realized crown geometry. Three functionals are minimized: the daily sensible-heat release, the worst-case A-weighted level at residential receivers, and a roadside risk index that combines fixed-object hazard with aeolian shelter. The irrigation volume is bounded by an ε-constraint. We prove that the marginal risk response is non-monotone in lateral offset, with a unique interior minimizer beyond the clear zone; that the functionals select incompatible sides, so that every efficient design is transversely asymmetric; and that the scalarized problem is NP-hard. A converged evolutionary study on a 1 km corridor at 33.3◦N recovers both structural predictions: the designs place 63–100% of the activated verge cells on the receiver side, that is, the side carrying the modeled residences. | ||
تازه های تحقیق | ||
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| کلیدواژهها | ||
| Multi-objective optimization؛ Mixed-integer nonlinear programming؛ Pareto front؛ Roadside safety؛ Spatial discretization | ||
| مراجع | ||
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