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Abstract: This paper presents a study on planting planning strategies based on optimization genetic algorithms under multiple constraints. The research focuses on establishing a linear programming ...

Researchers in Italy have simulated an agrivoltaic-powered anaerobic digestion plant for biomethane production and optimized it across eight scenarios, using vertically mounted panels in some cases ...

This is a preview. Log in through your library . Abstract Besides solving the equations of momentum, heat, and moisture transport on the model grid, mesoscale weather models must account for ...

This project implements a genetic algorithm approach to solve the Resource-Constrained Project Scheduling Problem (SRCPSP), which is a well-known NP-hard optimization problem in operations research ...

In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...